# Run Vector Search Queries

A MongoDB Vector Search query takes the form of an [aggregation pipeline](https://www.mongodb.com/docs/manual/aggregation/) that uses [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) as the first stage. This page explains the syntax, options, and behavior of the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) stage.

`$vectorSearch`
The `$vectorSearch` stage performs a semantic search for a query vector on the specified field or fields. The field or fields must be indexed as the MongoDB Vector Search [vector](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector) type inside a [vectorSearch](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type index.

MongoDB Vector Search supports ANN (Approximate Nearest Neighbor) search on Atlas clusters running MongoDB v6.0.11, v7.0.2, or later and ENN (Exact Nearest Neighbor) search on clusters running MongoDB v6.0.16, v7.0.10, v7.3.2, or later. You can also use MongoDB Vector Search with [self-managed](https://www.mongodb.com/docs/manual/administration/install-community/#std-label-install-mdb-community-edition) or [local Atlas deployments](https://www.mongodb.com/docs/atlas/cli/current/atlas-cli-deploy-local/) that you create with the Atlas CLI.

The `$vectorSearch` stage performs a semantic search for a query vector on the specified field or fields. The field or fields must be indexed as the MongoDB Vector Search [vector](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector) type inside a [vectorSearch](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type index.

The `$vectorSearch` stage is used to perform a semantic search for a natural language query on the specified field. When using automated embeddings, the field or fields must be indexed as the MongoDB Vector Search [autoEmbed](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-auto-embed) type inside a [vectorSearch](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type index.

Automated Embedding is available as a Preview feature. The feature and the corresponding documentation might change at any time during the Preview period. To learn more, see [Preview Features](https://www.mongodb.com/docs/preview-features/).

## Supported Clients

You can run [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) queries by using the Atlas UI, MongoDB Compass, [`mongosh`](https://www.mongodb.com/docs/mongodb-shell/#mongodb-binary-bin.mongosh), and any [MongoDB driver](https://www.mongodb.com/docs/drivers/).

You can also use MongoDB Vector Search with local Atlas deployments that you create with the Atlas CLI. To learn more, see [Create a Local Atlas Deployment](https://www.mongodb.com/docs/atlas/cli/current/atlas-cli-deploy-local/).

[`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) is supported only on Atlas clusters running the following MongoDB versions:

- v6.0.11

- v7.0.2 and later (including RCs (Release Candidates)).

You can run [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) queries by using MongoDB Compass, [`mongosh`](https://www.mongodb.com/docs/mongodb-shell/#mongodb-binary-bin.mongosh), and any [MongoDB driver](https://www.mongodb.com/docs/drivers/).

You can run [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) queries by using MongoDB Compass, [`mongosh`](https://www.mongodb.com/docs/mongodb-shell/#mongodb-binary-bin.mongosh), and the following [MongoDB drivers](https://www.mongodb.com/docs/drivers/):

<table>
<tr>
<th id="MongoDB%20Driver">
MongoDB Driver

</th>
<th id="Version">
Version

</th>
</tr>
<tr>
<td headers="MongoDB%20Driver">
[Node](https://www.mongodb.com/docs/drivers/node/current/)

</td>
<td headers="Version">
6.6.0 or higher

</td>
</tr>
<tr>
<td headers="MongoDB%20Driver">
[Python](https://www.mongodb.com/docs/drivers/python-drivers/)

</td>
<td headers="Version">
4.7 or higher

</td>
</tr>
</table>

## Syntax

The field that you want to search must be indexed as MongoDB Vector Search [vector](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector) type inside a [vectorSearch](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) index type.

A `$vectorSearch` pipeline has the following prototype form:

```javascript
{
  "$vectorSearch": {
    "exact": true | false,
    "filter": {<filter-specification>},
    "index": "<index-name>",
    "limit": <number-of-results>,
    "numCandidates": <number-of-candidates>,
    "path": "<field-to-search>",
    "queryVector": [<array-of-numbers>],
    "explainOptions": {
      "traceDocumentIds": [<array-of-documentIDs>]
    }
  }
}
```

The field that you want to search must be indexed as MongoDB Vector Search [vector](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector) type inside a [vectorSearch](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) index type.

A `$vectorSearch` pipeline has the following prototype form:

```javascript
{
  "$vectorSearch": {
    "exact": true | false,
    "filter": {<filter-specification>},
    "index": "<index-name>",
    "limit": <number-of-results>,
    "numCandidates": <number-of-candidates>,
    "path": "<field-to-search>",
    "queryVector": [<array-of-numbers>],
    "explainOptions": {
      "traceDocumentIds": [<array-of-documentIDs>]
    }
  }
}
```

The field that you want to search must be indexed as MongoDB Vector Search [autoEmbed](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-auto-embed) type inside a [vectorSearch](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) index type.

A `$vectorSearch` pipeline has the following prototype form:

```javascript
{
  "$vectorSearch": {
    "exact": true | false,
    "filter": {<filter-specification>},
    "index": "<index-name>",
    "limit": <number-of-results>,
    "model": "<model-name>",
    "numCandidates": <number-of-candidates>,
    "path": "<field-to-search>",
    "query": {
      "text": "<query-text>"
    }
  }
}
```

## Fields

The `$vectorSearch` stage takes a document with the following fields:

<table>
<tr>
<th id="Field">
Field

</th>
<th id="Type">
Type

</th>
<th id="Necessity">
Necessity

</th>
<th id="Description">
Description

</th>
</tr>
<tr>
<td headers="Field">
`exact`

</td>
<td headers="Type">
Boolean

</td>
<td headers="Necessity">
Optional

</td>
<td headers="Description">
This is required if `numCandidates` is omitted.

Flag that specifies whether to run ENN (Exact Nearest Neighbor) or ANN (Approximate Nearest Neighbor) search. Value can be one of the following:

- `false` - to run ANN (Approximate Nearest Neighbor) search

- `true` - to run ENN (Exact Nearest Neighbor) search

If omitted, defaults to `false`.

MongoDB Vector Search supports ANN (Approximate Nearest Neighbor) search on Atlas clusters running MongoDB v6.0.11, v7.0.2, or later and ENN (Exact Nearest Neighbor) search on clusters running MongoDB v6.0.16, v7.0.10, v7.3.2, or later. You can also use MongoDB Vector Search with [self-managed](https://www.mongodb.com/docs/manual/administration/install-community/#std-label-install-mdb-community-edition) or [local Atlas deployments](https://www.mongodb.com/docs/atlas/cli/current/atlas-cli-deploy-local/) that you create with the Atlas CLI.

To learn more about these search types, see [Vector Search Types](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#std-label-vectorSearch-agg-pipeline).

</td>
</tr>
<tr>
<td headers="Field">
`filter`

</td>
<td headers="Type">
Object

</td>
<td headers="Necessity">
Optional

</td>
<td headers="Description">
MQL (MongoDB Query Language) expression that compares an indexed field to use as a pre-filter. You can filter on boolean, date, objectId, numeric, string, and UUID values, including arrays of these types.

To learn which MQL operators MongoDB Vector Search supports in your filter, see [MongoDB Vector Search Pre-Filtering](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#std-label-vectorSearch-agg-pipeline-filter).

</td>
</tr>
<tr>
<td headers="Field">
`index`

</td>
<td headers="Type">
String

</td>
<td headers="Necessity">
Required

</td>
<td headers="Description">
Name of the MongoDB Vector Search index to use.

MongoDB Vector Search doesn't return results if you misspell the index name or if the specified index doesn't already exist on the cluster.

</td>
</tr>
<tr>
<td headers="Field">
`limit`

</td>
<td headers="Type">
Int

</td>
<td headers="Necessity">
Required

</td>
<td headers="Description">
Number (of type `int` only) of documents to return in the results. This value can't exceed the value of `numCandidates` if you specify `numCandidates`.

</td>
</tr>
<tr>
<td headers="Field">
`numCandidates`

</td>
<td headers="Type">
Int

</td>
<td headers="Necessity">
Conditional

</td>
<td headers="Description">
This field is required if `exact` is `false` or omitted.

Number of nearest neighbors to use during the search. Value must be less than or equal to (`<=`) `10000`. You can't specify a number less than the number of documents to return (`limit`).

We recommend that you specify a number at least 20 times higher than the number of documents to return (`limit`) to increase accuracy.

This overrequest pattern is the recommended way to trade off latency and [recall](https://www.mongodb.com/docs/manual/reference/glossary/#std-term-recall) in your ANN (Approximate Nearest Neighbor) searches, and we recommend tuning this parameter based on your specific dataset size and query requirements.

To learn more about other variables that might impact this parameter, see [`numCandidates` Selection](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#std-label-avs-num-candidates).

</td>
</tr>
<tr>
<td headers="Field">
`path`

</td>
<td headers="Type">
String

</td>
<td headers="Necessity">
Required

</td>
<td headers="Description">
Indexed [vector](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector) type field to search.

</td>
</tr>
<tr>
<td headers="Field">
`queryVector`

</td>
<td headers="Type">
Array of Numbers

</td>
<td headers="Necessity">
Required

</td>
<td headers="Description">
Array of numbers of `float32`, BSON (Binary Javascript Object Notation)
[BinData](https://www.mongodb.com/docs/manual/reference/method/BinData/) vectors with subtype `float32`, or BSON (Binary Javascript Object Notation) [BinData](https://www.mongodb.com/docs/manual/reference/method/BinData/) vectors with subtype `int1` or `int8` type that represent the query vector.

To learn more about generating BSON (Binary Javascript Object Notation) `binData` vectors with subtype `float32`, `int8`, `int1`, see [How to Ingest Pre-Quantized Vectors](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-quantization/#std-label-avs-bindata-vector-subtype).

The array size must match the number of vector `dimensions` specified in the [index definition](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) for the field.

You must embed your query with the same model that you used to embed the data.

You can query your embeddings with full-fidelity vectors, as long as the vector subtype is the same. This is only possible with `binData` vectors with subtype `float32`. If you use any other subtype (`int8` or `int1`), MongoDB Vector Search doesn't return any results or errors.

</td>
</tr>
<tr>
<td headers="Field">
`explainOptions`

</td>
<td headers="Type">
Object

</td>
<td headers="Necessity">
Optional

</td>
<td headers="Description">
Trace a list of vectors (identified by theirs `_id`) in an [explain](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/explain/#std-label-avs-explain-ref) `executionStats` query. You can't use this option without `explain`. To learn more, see [Explain MongoDB Vector Search Results](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/explain/#std-label-avs-explain-ref).

</td>
</tr>
<tr>
<td headers="Field">
`explainOptions.``traceDocumentIds`

</td>
<td headers="Type">
Array of objectIDs

</td>
<td headers="Necessity">
Required

</td>
<td headers="Description">
List of document `_id`s.

</td>
</tr>
</table><table>
<tr>
<th id="Field">
Field

</th>
<th id="Type">
Type

</th>
<th id="Necessity">
Necessity

</th>
<th id="Description">
Description

</th>
</tr>
<tr>
<td headers="Field">
`exact`

</td>
<td headers="Type">
Boolean

</td>
<td headers="Necessity">
Optional

</td>
<td headers="Description">
This is required if `numCandidates` is omitted.

Flag that specifies whether to run ENN (Exact Nearest Neighbor) or ANN (Approximate Nearest Neighbor) search. Value can be one of the following:

- `false` - to run ANN (Approximate Nearest Neighbor) search

- `true` - to run ENN (Exact Nearest Neighbor) search

If omitted, defaults to `false`.

MongoDB Vector Search supports ANN (Approximate Nearest Neighbor) search on Atlas clusters running MongoDB v6.0.11, v7.0.2, or later and ENN (Exact Nearest Neighbor) search on clusters running MongoDB v6.0.16, v7.0.10, v7.3.2, or later. You can also use MongoDB Vector Search with [self-managed](https://www.mongodb.com/docs/manual/administration/install-community/#std-label-install-mdb-community-edition) or [local Atlas deployments](https://www.mongodb.com/docs/atlas/cli/current/atlas-cli-deploy-local/) that you create with the Atlas CLI.

To learn more about these search types, see [Vector Search Types](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#std-label-vectorSearch-agg-pipeline).

</td>
</tr>
<tr>
<td headers="Field">
`filter`

</td>
<td headers="Type">
Object

</td>
<td headers="Necessity">
Optional

</td>
<td headers="Description">
MQL (MongoDB Query Language) expression that compares an indexed field to use as a pre-filter. You can filter on boolean, date, objectId, numeric, string, and UUID values, including arrays of these types.

To learn which MQL operators MongoDB Vector Search supports in your filter, see [MongoDB Vector Search Pre-Filtering](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#std-label-vectorSearch-agg-pipeline-filter).

</td>
</tr>
<tr>
<td headers="Field">
`index`

</td>
<td headers="Type">
String

</td>
<td headers="Necessity">
Required

</td>
<td headers="Description">
Name of the MongoDB Vector Search index to use.

MongoDB Vector Search doesn't return results if you misspell the index name or if the specified index doesn't already exist on the cluster.

</td>
</tr>
<tr>
<td headers="Field">
`limit`

</td>
<td headers="Type">
Int

</td>
<td headers="Necessity">
Required

</td>
<td headers="Description">
Number (of type `int` only) of documents to return in the results. This value can't exceed the value of `numCandidates` if you specify `numCandidates`.

</td>
</tr>
<tr>
<td headers="Field">
`numCandidates`

</td>
<td headers="Type">
Int

</td>
<td headers="Necessity">
Conditional

</td>
<td headers="Description">
This field is required if `exact` is `false` or omitted.

Number of nearest neighbors to use during the search. Value must be less than or equal to (`<=`) `10000`. You can't specify a number less than the number of documents to return (`limit`).

We recommend that you specify a number at least 20 times higher than the number of documents to return (`limit`) to increase accuracy.

This overrequest pattern is the recommended way to trade off latency and [recall](https://www.mongodb.com/docs/manual/reference/glossary/#std-term-recall) in your ANN (Approximate Nearest Neighbor) searches, and we recommend tuning this parameter based on your specific dataset size and query requirements.

To learn more about other variables that might impact this parameter, see [`numCandidates` Selection](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#std-label-avs-num-candidates).

</td>
</tr>
<tr>
<td headers="Field">
`path`

</td>
<td headers="Type">
String

</td>
<td headers="Necessity">
Required

</td>
<td headers="Description">
Indexed [vector](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector) type field to search.

</td>
</tr>
<tr>
<td headers="Field">
`queryVector`

</td>
<td headers="Type">
Array of Numbers

</td>
<td headers="Necessity">
Required

</td>
<td headers="Description">
Array of numbers of `float32`, BSON (Binary Javascript Object Notation)
[BinData](https://www.mongodb.com/docs/manual/reference/method/BinData/) vectors with subtype `float32`, or BSON (Binary Javascript Object Notation) [BinData](https://www.mongodb.com/docs/manual/reference/method/BinData/) vectors with subtype `int1` or `int8` type that represent the query vector.

To learn more about generating BSON (Binary Javascript Object Notation) `binData` vectors with subtype `float32`, `int8`, `int1`, see [How to Ingest Pre-Quantized Vectors](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-quantization/#std-label-avs-bindata-vector-subtype).

The array size must match the number of vector `dimensions` specified in the [index definition](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) for the field.

You must embed your query with the same model that you used to embed the data.

You can query your embeddings with full-fidelity vectors, as long as the vector subtype is the same. This is only possible with `binData` vectors with subtype `float32`. If you use any other subtype (`int8` or `int1`), MongoDB Vector Search doesn't return any results or errors.

</td>
</tr>
<tr>
<td headers="Field">
`explainOptions`

</td>
<td headers="Type">
Object

</td>
<td headers="Necessity">
Optional

</td>
<td headers="Description">
Trace a list of vectors (identified by theirs `_id`) in an [explain](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/explain/#std-label-avs-explain-ref) `executionStats` query. You can't use this option without `explain`. To learn more, see [Explain MongoDB Vector Search Results](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/explain/#std-label-avs-explain-ref).

</td>
</tr>
<tr>
<td headers="Field">
`explainOptions.``traceDocumentIds`

</td>
<td headers="Type">
Array of objectIDs

</td>
<td headers="Necessity">
Required

</td>
<td headers="Description">
List of document `_id`s.

</td>
</tr>
</table><table>
<tr>
<th id="Field">
Field

</th>
<th id="Type">
Type

</th>
<th id="Necessity">
Necessity

</th>
<th id="Description">
Description

</th>
</tr>
<tr>
<td headers="Field">
`exact`

</td>
<td headers="Type">
Boolean

</td>
<td headers="Necessity">
Optional

</td>
<td headers="Description">
This is required if `numCandidates` is omitted.

Flag that specifies whether to run ENN (Exact Nearest Neighbor) or ANN (Approximate Nearest Neighbor) search. Value can be one of the following:

- `false` - to run ANN (Approximate Nearest Neighbor) search

- `true` - to run ENN (Exact Nearest Neighbor) search

If omitted, defaults to `false`.

MongoDB Vector Search supports ANN (Approximate Nearest Neighbor) search on Atlas clusters running MongoDB v6.0.11, v7.0.2, or later and ENN (Exact Nearest Neighbor) search on clusters running MongoDB v6.0.16, v7.0.10, v7.3.2, or later. You can also use MongoDB Vector Search with [self-managed](https://www.mongodb.com/docs/manual/administration/install-community/#std-label-install-mdb-community-edition) or [local Atlas deployments](https://www.mongodb.com/docs/atlas/cli/current/atlas-cli-deploy-local/) that you create with the Atlas CLI.

To learn more about these search types, see [Vector Search Types](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#std-label-vectorSearch-agg-pipeline).

</td>
</tr>
<tr>
<td headers="Field">
`filter`

</td>
<td headers="Type">
Object

</td>
<td headers="Necessity">
Optional

</td>
<td headers="Description">
MQL (MongoDB Query Language) expression that compares an indexed field to use as a pre-filter. You can filter on boolean, date, objectId, numeric, string, and UUID values, including arrays of these types.

To learn which MQL operators MongoDB Vector Search supports in your filter, see [MongoDB Vector Search Pre-Filtering](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#std-label-vectorSearch-agg-pipeline-filter).

</td>
</tr>
<tr>
<td headers="Field">
`index`

</td>
<td headers="Type">
String

</td>
<td headers="Necessity">
Required

</td>
<td headers="Description">
Name of the MongoDB Vector Search index to use.

MongoDB Vector Search doesn't return results if you misspell the index name or if the specified index doesn't already exist on the cluster.

</td>
</tr>
<tr>
<td headers="Field">
`limit`

</td>
<td headers="Type">
Int

</td>
<td headers="Necessity">
Required

</td>
<td headers="Description">
Number (of type `int` only) of documents to return in the results. This value can't exceed the value of `numCandidates` if you specify `numCandidates`.

</td>
</tr>
<tr>
<td headers="Field">
`model`

</td>
<td headers="Type">
String

</td>
<td headers="Necessity">
Optional

</td>
<td headers="Description">
Name of the embedding model to use for generating embeddings for the query string. The embedding model must be compatible with the embedding model specified in the index definition for the field against which you want to run the query. All the models in the `voyage-4` family of models are compatible with each other, but the `voyage-code-3` is not compatible with the other models.

Value can be one of the following:

- `voyage-4-large` - Highest-quality retrieval across languages and domains.

- `voyage-4` - Balanced model for multilingual use and general-purpose retrieval accuracy. (Recommended)

- `voyage-4-lite` - Lightweight, faster model optimized for latency and lower cost.

- `voyage-code-3` - Optimized for code retrieval. This embedding model is not compatible with `voyage-4-large`, `voyage-4`, and `voyage-4-lite` embedding models. Therefore, this model can't be used if you indexed the field using the other supported embedding models.

If omitted, defaults to the embedding model specified in the index definition.

If you want to query using the `queryVector` parameter, you **must** omit this field.

</td>
</tr>
<tr>
<td headers="Field">
`numCandidates`

</td>
<td headers="Type">
Int

</td>
<td headers="Necessity">
Conditional

</td>
<td headers="Description">
This field is required if `exact` is `false` or omitted.

Number of nearest neighbors to use during the search. Value must be less than or equal to (`<=`) `10000`. You can't specify a number less than the number of documents to return (`limit`).

We recommend that you specify a number at least 20 times higher than the number of documents to return (`limit`) to increase accuracy.

This overrequest pattern is the recommended way to trade off latency and [recall](https://www.mongodb.com/docs/manual/reference/glossary/#std-term-recall) in your ANN (Approximate Nearest Neighbor) searches, and we recommend tuning this parameter based on your specific dataset size and query requirements.

To learn more about other variables that might impact this parameter, see [`numCandidates` Selection](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#std-label-avs-num-candidates).

</td>
</tr>
<tr>
<td headers="Field">
`path`

</td>
<td headers="Type">
String

</td>
<td headers="Necessity">
Required

</td>
<td headers="Description">
Indexed [autoEmbed](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-auto-embed) type field to search.

</td>
</tr>
<tr>
<td headers="Field">
`query`

</td>
<td headers="Type">
Object

</td>
<td headers="Necessity">
Optional

</td>
<td headers="Description">
Object that specifies the query context. MongoDB Vector Search supports `text` query. This is mutually exclusive with `queryVector`.

</td>
</tr>
<tr>
<td headers="Field">
`query.``text`

</td>
<td headers="Type">
String

</td>
<td headers="Necessity">
Required

</td>
<td headers="Description">
Query text for which you want to perform the semantic search. MongoDB Vector Search automatically generates vector embeddings for the specified text using the `model` specified in the query or in the index definition. The embedding model specified in the query takes precedence.

</td>
</tr>
<tr>
<td headers="Field">
`queryVector`

</td>
<td headers="Type">
Array of Numbers

</td>
<td headers="Necessity">
Optional

</td>
<td headers="Description">
Array of vector embeddings or floating point numbers generated using a Voyage AI embedding model to perform a semantic search. To retrieve correct results, you must use a Voyage AI embedding model that is compatible with the Voyage AI embeddings model specified in the index definition for the field that you want to query.

This is mutually exclusive with `model` and `query`.

</td>
</tr>
</table>

## Vector Search Types

When you define a [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) stage, you can use the `exact` field to specify whether to run an ANN (Approximate Nearest Neighbor) or ENN (Exact Nearest Neighbor) search.

For Approximate Nearest Neighbors (ANN) search, MongoDB Vector Search finds vector embeddings in your data that are closest to the vector embedding in your query based on their proximity in multi-dimensional space and based on the number of neighbors that it considers. It uses the [Hierarchical Navigable Small Worlds](https://arxiv.org/abs/1603.09320) algorithm and finds the vector embeddings most similar to the vector embedding in your query without scanning every vector. Therefore, ANN (Approximate Nearest Neighbor) search is ideal for querying large datasets without significant filtering.

Optimal [recall](https://www.mongodb.com/docs/manual/reference/glossary/#std-term-recall) for ANN (Approximate Nearest Neighbor) search is typically considered to be around 90-95% overlap in results with ENN (Exact Nearest Neighbor) search but with significantly lower latency. This provides a good balance between accuracy and performance. To achieve this with MongoDB Vector Search, [tune](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#std-label-avs-num-candidates) the `numCandidates` parameter at query time.

### `numCandidates` Selection

You must specify the `numCandidates` field to run ANN (Approximate Nearest Neighbor) search. This field determines how many nearest neighbors MongoDB Vector Search considers during the search.

We recommend that you specify a `numCandidates` number at least 20 times higher than the number of documents to return (`limit`) to increase accuracy and reduce discrepancies between your ENN (Exact Nearest Neighbor) and ANN (Approximate Nearest Neighbor) query results. For example, if you set `limit` to return `5` results, consider setting `numCandidates` to `100` as a starting point. To learn more, see [How to Measure the Accuracy of Your Query Results](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/improve-accuracy/#std-label-avs-improve-results).

This overrequest pattern is the recommended way to trade off latency and [recall](https://www.mongodb.com/docs/manual/reference/glossary/#std-term-recall) in your ANN (Approximate Nearest Neighbor) searches. However, we recommend tuning the `numCandidates` parameter based on your specific dataset size and query requirements. To ensure that you get accurate results, consider the following variables:

- **Index Size**: Larger collections typically require higher `numCandidates` values to maintain recall. A collection with millions of vectors might need significantly more candidates than one with thousands of vectors.

- **Limit Value**: Because `numCandidates` is highly correlated with the index size, low `limit` values require proportionally higher `numCandidates` values to maintain recall.

- **Vector Quantization**: [Quantized vectors](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-quantization/#std-label-avs-quantization) reduce storage at the cost of accuracy. Using quantized vectors (`int8` or `int1` subtypes) might require higher `numCandidates` values compared to full precision `float32` vectors to maintain similar recall.

- **Index Size**: Larger collections typically require higher `numCandidates` values to maintain recall. A collection with millions of vectors might need significantly more candidates than one with thousands of vectors.

- **Limit Value**: Because `numCandidates` is highly correlated with the index size, low `limit` values require proportionally higher `numCandidates` values to maintain recall.

- **Vector Quantization**: [Quantized vectors](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-quantization/#std-label-avs-quantization) reduce storage at the cost of accuracy. Using quantized vectors (`int8` or `int1` subtypes) might require higher `numCandidates` values compared to full precision `float32` vectors to maintain similar recall.

- **Index Size**: Larger collections typically require higher `numCandidates` values to maintain recall. A collection with millions of vectors might need significantly more candidates than one with thousands of vectors.

- **Limit Value**: Because `numCandidates` is highly correlated with the index size, low `limit` values require proportionally higher `numCandidates` values to maintain recall.

For an Exact Nearest Neighbors (ENN) search, MongoDB Vector Search exhaustively searches all the indexed vector embeddings by calculating the distance between all the embeddings and finds the exact nearest neighbor for the vector embedding in your query. This is computationally intensive and might negatively impact query latency. Therefore, we recommend ENN (Exact Nearest Neighbor) searches for the following use-cases:

- You want to determine the [recall](https://www.mongodb.com/docs/manual/reference/glossary/#std-term-recall) and accuracy of your ANN (Approximate Nearest Neighbor) query using the ideal, exact results for the ENN (Exact Nearest Neighbor) query.

- You want to query less than 10000 documents without having to tune the number of nearest neighbors to consider.

- Your want to include selective pre-filters in your query against collections where less than 5% of your data meets the given pre-filter.

If you enable automatic quantization, MongoDB Vector Search uses only the full-fidelity vectors for ENN (Exact Nearest Neighbor) queries.

- You want to determine the [recall](https://www.mongodb.com/docs/manual/reference/glossary/#std-term-recall) and accuracy of your ANN (Approximate Nearest Neighbor) query using the ideal, exact results for the ENN (Exact Nearest Neighbor) query.

- You want to query less than 10000 documents without having to tune the number of nearest neighbors to consider.

- Your want to include selective pre-filters in your query against collections where less than 5% of your data meets the given pre-filter.

If you enable automatic quantization, MongoDB Vector Search uses only the full-fidelity vectors for ENN (Exact Nearest Neighbor) queries.

- You want to determine the [recall](https://www.mongodb.com/docs/manual/reference/glossary/#std-term-recall) and accuracy of your ANN (Approximate Nearest Neighbor) query using the ideal, exact results for the ENN (Exact Nearest Neighbor) query.

- You want to query less than 10000 documents without having to tune the number of nearest neighbors to consider.

- Your want to include selective pre-filters in your query against collections where less than 5% of your data meets the given pre-filter.

## Behavior

[`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) must be the first stage of any pipeline where it appears.

### Best Practices

Voyage AI imposes rate limits on the number of requests you can make within a specific time frame, often measured in tokens per minute (TPM) or requests per minute (RPM) to ensure fair usage, prevent abuse, and maintain the stability and performance of the endpoint service for all users. Rate limits follow a tiered system. To learn more about the different tiers for keys you created from:

- Atlas UI, see [Usage Tiers](https://www.mongodb.com/docs/voyageai/management/rate-limits/#std-label-voyage-rate-limits)

- Voyage AI, see [Rate Limits](https://docs.voyageai.com/docs/rate-limits/)

If you exceed the number of requests or tokens in the most recent minute, the endpoint service denies any subsequent additional request and returns a `429` (Rate Limit Exceeded) HTTP (HyperText Transport Protocol) status code. We recommend the following if you hit the rate limit:

- Insert a wait period between each request.

- Backoff and wait for an exponentially increased time before trying again. Wait until the request is successful or until you reach a maximum number of retries.

### Limitations

[`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) can't be used in [view definition](https://www.mongodb.com/docs/manual/core/views/) and the following pipeline stages:

- [`$lookup`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/lookup/#mongodb-pipeline-pipe.-lookup) sub-pipeline

- [`$facet`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/facet/#mongodb-pipeline-pipe.-facet) pipeline stage

You can pass the results of [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) to this stage.

### MongoDB Vector Search Indexing

You must index the fields to search using the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) stage inside a [vectorSearch](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type index definition. You can index the following types of fields in a MongoDB Vector Search [vectorSearch](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type index definition:

- Fields that contain vector embeddings as [vector](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type.

- Additional fields as the [filter](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type to enable vector search on pre-filtered data.

You must index the fields to search using the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) stage inside a [vectorSearch](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type index definition. You can index the following types of fields in a MongoDB Vector Search [vectorSearch](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type index definition:

- Fields that contain vector embeddings as [vector](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type.

- Additional fields as the [filter](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type to enable vector search on pre-filtered data.

You must index the fields to search using the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) stage inside a [vectorSearch](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type index definition. You can index the following types of fields in a MongoDB Vector Search [vectorSearch](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type index definition:

- Fields that contain text as [autoEmbed](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-auto-embed) type.

- Additional fields as the [filter](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type to enable vector search on pre-filtered data.

To learn more about these MongoDB Vector Search field types, see [How to Index Fields for Vector Search](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search).

### MongoDB Vector Search Scoring

MongoDB Vector Search assigns a score, in a fixed range from `0` to `1` (where `0` indicates low similarity and `1` indicates high similarity), to every document that it returns.

The score is calculated according to the `similarity` function that you specify in the MongoDB Vector Search [index definition](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search-options). To learn more about the `similarity` options you can choose from, see [About the Similarity Functions](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-similarity-functions).

The score is calculated according to the `similarity` function that you specify in the MongoDB Vector Search [index definition](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search-options). To learn more about the `similarity` options you can choose from, see [About the Similarity Functions](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-similarity-functions).

Each returned document includes the score as metadata. To return each document's score along with the result set, use a [`$project`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/project/#mongodb-pipeline-pipe.-project) stage in your aggregation pipeline and configure the `score` as a field to project. In the `score` field, specify a [$meta](https://www.mongodb.com/docs/manual/reference/mql/expressions/#text-operators) expression with the value `vectorSearchScore`. The syntax is as follows:

```javascript
db.<collection>.aggregate([
  {
    "$vectorSearch": {
      <query-syntax>
    }
  },
  {
    "$project": {
      "<field-to-include>": 1,
      "<field-to-exclude>": 0,
      "score": { "$meta": "vectorSearchScore" }
    }
  }
])
```

You can use `vectorSearchScore` as a `score` [$meta](https://www.mongodb.com/docs/manual/reference/operator/aggregation/meta/) expression only after the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) pipeline stage. If you use `vectorSearchScore` after any other query, MongoDB logs a warning starting in MongoDB v8.2.

Pre-filtering your data doesn't affect the score that MongoDB Vector Search returns using `vectorSearchScore` for [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) queries.

### MongoDB Vector Search Pre-Filtering

The [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) `filter` option matches BSON (Binary Javascript Object Notation) boolean, date, objectId, numeric, string, and UUID values, including arrays of these types.

You **must** index the fields that you want to filter your data by as the [filter](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type in a [vectorSearch](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-types-vector-search) type index definition. Filtering your data is useful to narrow the scope of your semantic search and ensure that not all vectors are considered for comparison.

MongoDB Vector Search supports the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) `filter` option for the following MQL (MongoDB Query Language) [operators](https://www.mongodb.com/docs/manual/reference/mql/query-operators/):

<table>
<tr>
<th id="Type">
Type

</th>
<th id="MQL%20(MongoDB%20Query%20Language)%20operator">
MQL (MongoDB Query Language) operator

</th>
</tr>
<tr>
<td headers="Type">
Equality

</td>
<td headers="MQL%20(MongoDB%20Query%20Language)%20operator">
[`$eq`](https://www.mongodb.com/docs/manual/reference/operator/query/eq/#mongodb-query-op.-eq), [`$ne`](https://www.mongodb.com/docs/manual/reference/operator/query/ne/#mongodb-query-op.-ne)

</td>
</tr>
<tr>
<td headers="Type">
Range

</td>
<td headers="MQL%20(MongoDB%20Query%20Language)%20operator">
[`$gt`](https://www.mongodb.com/docs/manual/reference/operator/query/gt/#mongodb-query-op.-gt), [`$lt`](https://www.mongodb.com/docs/manual/reference/operator/query/lt/#mongodb-query-op.-lt), [`$gte`](https://www.mongodb.com/docs/manual/reference/operator/query/gte/#mongodb-query-op.-gte), [`$lte`](https://www.mongodb.com/docs/manual/reference/operator/query/lte/#mongodb-query-op.-lte)

</td>
</tr>
<tr>
<td headers="Type">
In set

</td>
<td headers="MQL%20(MongoDB%20Query%20Language)%20operator">
[`$in`](https://www.mongodb.com/docs/manual/reference/operator/query/in/#mongodb-query-op.-in), [`$nin`](https://www.mongodb.com/docs/manual/reference/operator/query/nin/#mongodb-query-op.-nin)

</td>
</tr>
<tr>
<td headers="Type">
Existence

</td>
<td headers="MQL%20(MongoDB%20Query%20Language)%20operator">
[`$exists`](https://www.mongodb.com/docs/manual/reference/operator/query/exists/#mongodb-query-op.-exists)

</td>
</tr>
<tr>
<td headers="Type">
Logical

</td>
<td headers="MQL%20(MongoDB%20Query%20Language)%20operator">
[`$not`](https://www.mongodb.com/docs/manual/reference/operator/query/not/#mongodb-query-op.-not), [`$nor`](https://www.mongodb.com/docs/manual/reference/operator/query/nor/#mongodb-query-op.-nor), [`$and`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/and/#mongodb-expression-exp.-and), [`$or`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/or/#mongodb-expression-exp.-or)

</td>
</tr>
</table>The [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) `filter` option doesn't support other [query operators](https://www.mongodb.com/docs/manual/reference/mql/query-predicates/#std-label-query-predicates-ref), [aggregation pipeline operators](https://www.mongodb.com/docs/manual/reference/mql/expressions/#std-label-aggregation-expressions), or [MongoDB Search operators](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-search/operators-and-collectors/#std-label-operators-ref).

#### Filtering Considerations

- MongoDB Vector Search supports the short form of [`$eq`](https://www.mongodb.com/docs/manual/reference/operator/query/eq/#mongodb-query-op.-eq). In the short form, you don't need to specify `$eq` in the query.

  For example, consider the following filter with `$eq`:

  ```json
  "filter": { "_id": { "$eq": ObjectId("5a9427648b0beebeb69537a5") }
  ```

  This is equivalent to the following filter, which uses the short form of `$eq`:

  ```json
  "filter": { "_id": ObjectId("5a9427648b0beebeb69537a5") }
  ```

- You can use the [`$and`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/and/#mongodb-expression-exp.-and) MQL (MongoDB Query Language) operator to specify an array of filters in a single query.

  For example, consider the following pre-filter for documents with a `genres` field equal to `Action` and a `year` field with the value `1999`, `2000`, or `2001`:

  ```json
  "filter": {
    "$and": [
      { "genres": "Action" },
      { "year": { "$in": [ 1999, 2000, 2001 ] } }
    ]
  }
  ```

- For advanced filtering capabilities such as fuzzy search, phrase matching, location filtering, and other analyzed text, use the [vectorSearch](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-search/operators-collectors/vectorSearch/#std-label-fts-vectorSearch-ref) operator in a [`$search`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-search/aggregation-stages/search/#mongodb-pipeline-pipe.-search) stage.

##### Parallel Query Execution Across Segments

We recommend dedicated [Search Nodes](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/cluster-config/multi-cloud-distribution/#std-label-configure-search-nodes) to isolate vector search query processing. You might see improved query performance on the dedicated Search Nodes. Note that the high-CPU systems might provide more performance improvement. When MongoDB Vector Search runs on search nodes, MongoDB Vector Search parallelizes query execution across segments of data.

Parallelization of query processing improves the response time in many cases, such as queries on large datasets. Using intra-query parallelism during MongoDB Vector Search query processing utilizes more resources, but improves latency for each individual query.

MongoDB Vector Search doesn't guarantee that each query will run concurrently. For example, when too many concurrent queries are queued, MongoDB Vector Search might fall back to single-threaded execution.

You might see inconsistent results for the same successive queries. To mitigate this, increase the value of `numCandidates` in your [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) queries.

## Examples

The following queries search the sample [sample_mflix.embedded_movies](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/sample-data/sample-mflix/#std-label-mflix-embedded_movies) collection using the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) stage. The queries search the `plot_embedding_voyage_3_large` field, which contains embeddings created using the `voyage-3-large` embedding model from Voyage AI.

The following queries search the sample [sample_mflix.embedded_movies](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/sample-data/sample-mflix/#std-label-mflix-embedded_movies) collection using the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) stage. The queries search the `plot_embedding_voyage_3_large` field, which contains embeddings created using the `voyage-3-large` embedding model from Voyage AI.

The following queries search the sample [sample_mflix.movies](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/sample-data/sample-mflix/#std-label-mflix-embedded_movies) collection using the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) stage. The queries search the `fullplot` field, which contains embeddings automatically generated using the `model` specified in the index definition.

When you run a text query against the indexed `fullplot` field, MongoDB Vector Search automatically generates embeddings for the text string in your query using the embedding model that you specified in the query or the the index used by the query. It uses the embeddings to search the index for documents that are semantically similar to the specified query text.

### Prerequisites

Before you run these examples, perform the following actions:

- Add the [dataset](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/sample-data/sample-mflix/#std-label-sample-mflix) to your cluster.

- Create MongoDB Vector Search indexes for the collection. For instructions, see the [Create a MongoDB Vector Search Index](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/#std-label-avs-create-index) procedure and copy the configurations for the basic or filter examples in your desired language.

If you use [`mongosh`](https://www.mongodb.com/docs/mongodb-shell/#mongodb-binary-bin.mongosh), pasting the `queryVector` from the sample code into your terminal might take a while depending on your machine.

### ANN Examples

<Tabs>

<Tab name="ANN Basic Example">

The following query uses the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) stage to search the `plot_embedding_voyage_3_large` field using vector embeddings for the string *time travel*. It considers up to `150` nearest neighbors, and returns `10` documents in the results. The query also specifies a [`$project`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/project/#mongodb-pipeline-pipe.-project) stage to do the following:

- Exclude the `_id` field and include only the `plot` and `title` fields in the results.

- Add a field named `score` that shows the [vector search score](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#std-label-vectorSearch-agg-pipeline-score) for each document in the results.

The following query uses the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) stage to search the `plot_embedding_voyage_3_large` field using vector embeddings for the string *time travel*. It considers up to `150` nearest neighbors, and returns `10` documents in the results. The query also specifies a [`$project`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/project/#mongodb-pipeline-pipe.-project) stage to do the following:

- Exclude the `_id` field and include only the `plot` and `title` fields in the results.

- Add a field named `score` that shows the [vector search score](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#std-label-vectorSearch-agg-pipeline-score) for each document in the results.

The following query uses the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) stage to search the `fullplot` field. The query automatically generates vector embeddings for the string *young heroes caught in epic struggles between light and darkness* using the same model that was used in the index to perform a semantic search. It considers up to `100` nearest neighbors, and returns `10` documents in the results. The query also specifies a [`$project`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/project/#mongodb-pipeline-pipe.-project) stage to do the following:

- Exclude the `_id` field and include only the `fullplot` and `title` fields in the results.

- Add a field named `score` that shows the [vector search score](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#std-label-vectorSearch-agg-pipeline-score) for each document in the results.

#### Save the following embeddings in a file named `query-embeddings.js`:

```javascript
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```

#### Load the file into [`mongosh`](https://www.mongodb.com/docs/mongodb-shell/#mongodb-binary-bin.mongosh) to use the embeddings in your query:

```javascript
load('/<path-to-file>/query-embeddings.js');
```

#### Run the following query:

```json
db.embedded_movies.aggregate([
  {
    "$vectorSearch": {
      "index": "vector_index",
      "path": "plot_embedding_voyage_3_large",
      "queryVector": TIME_TRAVEL_EMBEDDING,
      "numCandidates": 150,
      "limit": 10,
      "quantization": "scalar"
    }
  },
  {
    "$project": {
      "_id": 0,
      "plot": 1,
      "title": 1,
      "score": { $meta: "vectorSearchScore" }
    }
  }
])
```

```js
[
  {
    plot: 'At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.',
    title: 'About Time',
    score: 0.7710106372833252
  },
  {
    plot: 'A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.',
    title: 'Retroactive',
    score: 0.760047972202301
  },
  {
    plot: 'A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...',
    title: 'A.P.E.X.',
    score: 0.7576861381530762
  },
  {
    plot: 'An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.',
    title: 'Timecop',
    score: 0.7576561570167542
  },
  {
    plot: 'After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.',
    title: 'Back to the Future Part II',
    score: 0.7521393895149231
  },
  {
    plot: 'A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.',
    title: 'Thrill Seekers',
    score: 0.7509932518005371
  },
  {
    plot: 'Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...',
    title: 'Timerider: The Adventure of Lyle Swann',
    score: 0.7502642869949341
  },
  {
    plot: 'Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.',
    title: 'The Time Machine',
    score: 0.7502503395080566
  },
  {
    plot: 'A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.',
    title: "The Time Traveler's Wife",
    score: 0.749496340751648
  },
  {
    plot: 'A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.',
    title: 'The Final Countdown',
    score: 0.7469133734703064
  }
]
```

```csharp
using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;

public class vectorSearchBasicQuery
{
  // define connection to your Atlas cluster
  private const string MongoConnectionString = "<connection-string>";

  public static void Main(string[] args){
    var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
    ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);

    // connect to your Atlas cluster
    var mongoClient = new MongoClient(MongoConnectionString);

    // define namespace
    var moviesDatabase = mongoClient.GetDatabase("sample_mflix");
    var moviesCollection = moviesDatabase.GetCollection<EmbeddedMovie>("embedded_movies");

    // define vector embeddings to search
    var vector = new[] 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.024262359,0.054507218,-0.009721561,0.005816319,-0.00206687,-0.008766023,0.017365867,-0.000737426,0.018362951,-0.023597637,-0.019110762,0.021935832,0.041545134,-0.020357117,-0.017615138,0.044868745,-0.018030589,-0.032405205,-0.050186522,-0.014540797,0.005213914,-0.006688767,0.047527634,0.040714234};
    var options = new VectorSearchOptions<EmbeddedMovie>() {
        IndexName = "vector_index",
        NumberOfCandidates = 150
    };

    // run query
    var results = moviesCollection.Aggregate()
                .VectorSearch(movie => movie.Embedding, vector, 10, options)
                .Project(Builders<EmbeddedMovie>.Projection
                  .Include(movie => movie.Title)
                  .Include(movie => movie.Plot)
                  .Exclude(movie => movie.Id)
                  .MetaVectorSearchScore(movie => movie.Score))
                .ToList();

    // print results
    foreach (var movie in results)
      {
        Console.WriteLine(movie.ToJson());
      }
  }
}

[BsonIgnoreExtraElements]
public class EmbeddedMovie
{
    [BsonIgnoreIfDefault]
    public ObjectId Id { get; set; }
    public string? Title { get; set; }
    public string? Plot { get; set; }
    [BsonElement("plot_embedding_voyage_3_large")]
    public double[]? Embedding { get; set; }
    public double Score { get; set; }
}
```

```js
{ "plot" : "At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.", "title" : "About Time", "score" : 0.7710106372833252 }
{ "plot" : "A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.", "title" : "Retroactive", "score" : 0.76004797220230103 }
{ "plot" : "A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...", "title" : "A.P.E.X.", "score" : 0.75768613815307617 }
{ "plot" : "An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.", "title" : "Timecop", "score" : 0.75765615701675415 }
{ "plot" : "After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.", "title" : "Back to the Future Part II", "score" : 0.7521393895149231 }
{ "plot" : "A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.", "title" : "Thrill Seekers", "score" : 0.75099325180053711 }
{ "plot" : "Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...", "title" : "Timerider: The Adventure of Lyle Swann", "score" : 0.75026428699493408 }
{ "plot" : "Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.", "title" : "The Time Machine", "score" : 0.75025033950805664 }
{ "plot" : "A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.", "title" : "The Time Traveler's Wife", "score" : 0.74949634075164795 }
{ "plot" : "A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.", "title" : "The Final Countdown", "score" : 0.7469133734703064 }
```

```go
package main

import (
	"context"
	"fmt"
	"log"

	"go.mongodb.org/mongo-driver/v2/bson"
	"go.mongodb.org/mongo-driver/v2/mongo"
	"go.mongodb.org/mongo-driver/v2/mongo/options"
)

func main() {
	ctx := context.Background()

	// Replace the placeholder with your Atlas connection string
	const uri = "<connection-string>"

	// Connect to your Atlas cluster
	clientOptions := options.Client().ApplyURI(uri)
	client, err := mongo.Connect(clientOptions)
	if err != nil {
		log.Fatalf("failed to connect to the server: %v", err)
	}
	defer func() { _ = client.Disconnect(ctx) }()

	// Set the namespace
	coll := client.Database("sample_mflix").Collection("embedded_movies")

	queryVector := [2048]float64{
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0.024262359,0.054507218,-0.009721561,0.005816319,-0.00206687,-0.008766023,0.017365867,-0.000737426,0.018362951,-0.023597637,-0.019110762,0.021935832,0.041545134,-0.020357117,-0.017615138,0.044868745,-0.018030589,-0.032405205,-0.050186522,-0.014540797,0.005213914,-0.006688767,0.047527634,0.040714234,
	}

	vectorSearchStage := bson.D{
		{"$vectorSearch", bson.D{
			{"index", "vector_index"},
			{"path", "plot_embedding_voyage_3_large"},
			{"queryVector", queryVector},
			{"numCandidates", 150},
			{"limit", 10},
		}}}

	projectStage := bson.D{
		{"$project", bson.D{
			{"_id", 0},
			{"plot", 1},
			{"title", 1},
			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
		}}}

	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
	if err != nil {
		log.Fatalf("failed to retrieve data from the server: %v", err)
	}
	// Display the results
	type ProjectedMovieResult struct {
		Title string  `bson:"title"`
		Plot  string  `bson:"plot"`
		Score float64 `bson:"score"`
	}

	var results []ProjectedMovieResult
	if err = cursor.All(ctx, &results); err != nil {
		log.Fatalf("failed to unmarshal retrieved docs to ProjectedMovieResult objects: %v", err)
	}
	for _, result := range results {
		fmt.Printf("Title: %v \nPlot: %v \nScore: %v \n\n", result.Title, result.Plot, result.Score)
	}
}

```

```shell
Title: About Time
Plot: At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.
Score: 0.7710106372833252

Title: Retroactive
Plot: A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.
Score: 0.760047972202301

Title: A.P.E.X.
Plot: A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...
Score: 0.7576861381530762

Title: Timecop
Plot: An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.
Score: 0.7576561570167542

Title: Back to the Future Part II
Plot: After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.
Score: 0.7521393895149231

Title: Thrill Seekers
Plot: A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.
Score: 0.7509932518005371

Title: Timerider: The Adventure of Lyle Swann
Plot: Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...
Score: 0.7502642869949341

Title: The Time Machine
Plot: Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.
Score: 0.7502503395080566

Title: The Time Traveler's Wife
Plot: A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.
Score: 0.749496340751648

Title: The Final Countdown
Plot: A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.
Score: 0.7469133734703064

```

```java
import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import com.mongodb.client.model.search.FieldSearchPath;
import org.bson.Document;
import org.bson.conversions.Bson;

import java.util.List;

import static com.mongodb.client.model.Aggregates.project;
import static com.mongodb.client.model.Aggregates.vectorSearch;
import static com.mongodb.client.model.Projections.fields;
import static com.mongodb.client.model.Projections.include;
import static com.mongodb.client.model.Projections.exclude;
import static com.mongodb.client.model.Projections.metaVectorSearchScore;
import static com.mongodb.client.model.search.SearchPath.fieldPath;
import static com.mongodb.client.model.search.VectorSearchOptions.approximateVectorSearchOptions;
import static java.util.Arrays.asList;

public class BasicQuery {
  public static void main( String[] args ) {
    // specify connection
    String uri = "<connection-string>";

    // establish connection and set namespace
    try (MongoClient mongoClient = MongoClients.create(uri)) {
      MongoDatabase database = mongoClient.getDatabase("sample_mflix");
      MongoCollection<Document> collection = database.getCollection("embedded_movies");

      // define $vectorSearch query options
      List<Double> queryVector = 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      String indexName = "vector_index";
      FieldSearchPath fieldSearchPath = fieldPath("plot_embedding_voyage_3_large");
      int limit = 10;
      int numCandidates = 150;

      // define pipeline
      List<Bson> pipeline = asList(
        vectorSearch(
          fieldSearchPath,
          queryVector,
          indexName,
          limit,
          approximateVectorSearchOptions(numCandidates)),
        project(
          fields(exclude("_id"), include("title"), include("plot"),
          metaVectorSearchScore("score"))));

      // run query and print results
      collection.aggregate(pipeline)
        .forEach(doc -> System.out.println(doc.toJson()));	
    }
  }
}

```

```js
{"plot": "At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.", "title": "About Time", "score": 0.7710106372833252}
{"plot": "A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.", "title": "Retroactive", "score": 0.760047972202301}
{"plot": "A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...", "title": "A.P.E.X.", "score": 0.7576861381530762}
{"plot": "An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.", "title": "Timecop", "score": 0.7576561570167542}
{"plot": "After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.", "title": "Back to the Future Part II", "score": 0.7521393895149231}
{"plot": "A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.", "title": "Thrill Seekers", "score": 0.7509932518005371}
{"plot": "Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...", "title": "Timerider: The Adventure of Lyle Swann", "score": 0.7502642869949341}
{"plot": "Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.", "title": "The Time Machine", "score": 0.7502503395080566}
{"plot": "A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.", "title": "The Time Traveler's Wife", "score": 0.749496340751648}
{"plot": "A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.", "title": "The Final Countdown", "score": 0.7469133734703064}
```

```js
const { MongoClient } = require("mongodb");

// connect to your Atlas cluster
const uri = "<connection-string>";

const client = new MongoClient(uri);

async function run() {
    try {
        await client.connect();

        // set namespace
        const database = client.db("sample_mflix");
        const coll = database.collection("embedded_movies");

        // define pipeline
        const agg = [
            {
              '$vectorSearch': {
                'index': 'vector_index',
                'path': 'plot_embedding_voyage_3_large',
                'queryVector': [
                  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                ],
                'numCandidates': 150,
                'limit': 10
              }
            }, {
              '$project': {
                '_id': 0,
                'plot': 1,
                'title': 1,
                'score': {
                  '$meta': 'vectorSearchScore'
                }
              }
            }
          ];
        // run pipeline
        const result = coll.aggregate(agg);

        // print results
        await result.forEach((doc) => console.dir(JSON.stringify(doc)));
    } finally {
        await client.close();
    }
}
run().catch(console.dir);

```

```js
'{"plot":"At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.","title":"About Time","score":0.7710106372833252}'
'{"plot":"A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.","title":"Retroactive","score":0.760047972202301}'
'{"plot":"A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...","title":"A.P.E.X.","score":0.7576861381530762}'
'{"plot":"An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.","title":"Timecop","score":0.7576561570167542}'
'{"plot":"After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.","title":"Back to the Future Part II","score":0.7521393895149231}'
'{"plot":"A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.","title":"Thrill Seekers","score":0.7509932518005371}'
'{"plot":"Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...","title":"Timerider: The Adventure of Lyle Swann","score":0.7502642869949341}'
'{"plot":"Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.","title":"The Time Machine","score":0.7502503395080566}'
`{"plot":"A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.","title":"The Time Traveler's Wife","score":0.749496340751648}`
'{"plot":"A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.","title":"The Final Countdown","score":0.7469133734703064}'
```

Work with a runnable version of this example as a [Python notebook](https://github.com/mongodb/docs-notebooks/blob/main/run-queries/ann-basic.ipynb).

```python
import pymongo

# connect to your Atlas cluster
client = pymongo.MongoClient("<connection-string>")

# define pipeline
pipeline = [
  {
    '$vectorSearch': {
      'index': 'vector_index',
      'path': 'plot_embedding_voyage_3_large',
      'queryVector': 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      'numCandidates': 150,
      'limit': 10
    }
  }, {
    '$project': {
      '_id': 0,
      'plot': 1,
      'title': 1,
      'score': {
        '$meta': 'vectorSearchScore'
      }
    }
  }
]

# run pipeline
result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)

# print results
for i in result:
    print(i)

```

```js
{'plot': 'At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.', 'title': 'About Time', 'score': 0.7710106372833252}
{'plot': 'A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.', 'title': 'Retroactive', 'score': 0.760047972202301}
{'plot': 'A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...', 'title': 'A.P.E.X.', 'score': 0.7576861381530762}
{'plot': 'An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.', 'title': 'Timecop', 'score': 0.7576561570167542}
{'plot': 'After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.', 'title': 'Back to the Future Part II', 'score': 0.7521393895149231}
{'plot': 'A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.', 'title': 'Thrill Seekers', 'score': 0.7509932518005371}
{'plot': 'Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...', 'title': 'Timerider: The Adventure of Lyle Swann', 'score': 0.7502642869949341}
{'plot': 'Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.', 'title': 'The Time Machine', 'score': 0.7502503395080566}
{'plot': 'A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.', 'title': "The Time Traveler's Wife", 'score': 0.749496340751648}
{'plot': 'A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.', 'title': 'The Final Countdown', 'score': 0.7469133734703064}
```

#### Save the following embeddings in a file named `query-embeddings.js`:

```javascript
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```

#### Load the file into [`mongosh`](https://www.mongodb.com/docs/mongodb-shell/#mongodb-binary-bin.mongosh) to use the embeddings in your query:

```javascript
load('/<path-to-file>/query-embeddings.js');
```

#### Run the following query:

```json
db.embedded_movies.aggregate([
  {
    "$vectorSearch": {
      "index": "vector_index",
      "path": "plot_embedding_voyage_3_large",
      "queryVector": TIME_TRAVEL_EMBEDDING,
      "numCandidates": 150,
      "limit": 10,
      "quantization": "scalar"
    }
  },
  {
    "$project": {
      "_id": 0,
      "plot": 1,
      "title": 1,
      "score": { $meta: "vectorSearchScore" }
    }
  }
])
```

```js
[
  {
    plot: 'At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.',
    title: 'About Time',
    score: 0.7710106372833252
  },
  {
    plot: 'A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.',
    title: 'Retroactive',
    score: 0.760047972202301
  },
  {
    plot: 'A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...',
    title: 'A.P.E.X.',
    score: 0.7576861381530762
  },
  {
    plot: 'An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.',
    title: 'Timecop',
    score: 0.7576561570167542
  },
  {
    plot: 'After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.',
    title: 'Back to the Future Part II',
    score: 0.7521393895149231
  },
  {
    plot: 'A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.',
    title: 'Thrill Seekers',
    score: 0.7509932518005371
  },
  {
    plot: 'Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...',
    title: 'Timerider: The Adventure of Lyle Swann',
    score: 0.7502642869949341
  },
  {
    plot: 'Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.',
    title: 'The Time Machine',
    score: 0.7502503395080566
  },
  {
    plot: 'A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.',
    title: "The Time Traveler's Wife",
    score: 0.749496340751648
  },
  {
    plot: 'A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.',
    title: 'The Final Countdown',
    score: 0.7469133734703064
  }
]
```

```csharp
using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;

public class vectorSearchBasicQuery
{
  // define connection to your Atlas cluster
  private const string MongoConnectionString = "<connection-string>";

  public static void Main(string[] args){
    var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
    ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);

    // connect to your Atlas cluster
    var mongoClient = new MongoClient(MongoConnectionString);

    // define namespace
    var moviesDatabase = mongoClient.GetDatabase("sample_mflix");
    var moviesCollection = moviesDatabase.GetCollection<EmbeddedMovie>("embedded_movies");

    // define vector embeddings to search
    var vector = new[] 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.024262359,0.054507218,-0.009721561,0.005816319,-0.00206687,-0.008766023,0.017365867,-0.000737426,0.018362951,-0.023597637,-0.019110762,0.021935832,0.041545134,-0.020357117,-0.017615138,0.044868745,-0.018030589,-0.032405205,-0.050186522,-0.014540797,0.005213914,-0.006688767,0.047527634,0.040714234};
    var options = new VectorSearchOptions<EmbeddedMovie>() {
        IndexName = "vector_index",
        NumberOfCandidates = 150
    };

    // run query
    var results = moviesCollection.Aggregate()
                .VectorSearch(movie => movie.Embedding, vector, 10, options)
                .Project(Builders<EmbeddedMovie>.Projection
                  .Include(movie => movie.Title)
                  .Include(movie => movie.Plot)
                  .Exclude(movie => movie.Id)
                  .MetaVectorSearchScore(movie => movie.Score))
                .ToList();

    // print results
    foreach (var movie in results)
      {
        Console.WriteLine(movie.ToJson());
      }
  }
}

[BsonIgnoreExtraElements]
public class EmbeddedMovie
{
    [BsonIgnoreIfDefault]
    public ObjectId Id { get; set; }
    public string? Title { get; set; }
    public string? Plot { get; set; }
    [BsonElement("plot_embedding_voyage_3_large")]
    public double[]? Embedding { get; set; }
    public double Score { get; set; }
}
```

```js
{ "plot" : "At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.", "title" : "About Time", "score" : 0.7710106372833252 }
{ "plot" : "A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.", "title" : "Retroactive", "score" : 0.76004797220230103 }
{ "plot" : "A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...", "title" : "A.P.E.X.", "score" : 0.75768613815307617 }
{ "plot" : "An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.", "title" : "Timecop", "score" : 0.75765615701675415 }
{ "plot" : "After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.", "title" : "Back to the Future Part II", "score" : 0.7521393895149231 }
{ "plot" : "A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.", "title" : "Thrill Seekers", "score" : 0.75099325180053711 }
{ "plot" : "Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...", "title" : "Timerider: The Adventure of Lyle Swann", "score" : 0.75026428699493408 }
{ "plot" : "Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.", "title" : "The Time Machine", "score" : 0.75025033950805664 }
{ "plot" : "A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.", "title" : "The Time Traveler's Wife", "score" : 0.74949634075164795 }
{ "plot" : "A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.", "title" : "The Final Countdown", "score" : 0.7469133734703064 }
```

```go
package main

import (
	"context"
	"fmt"
	"log"

	"go.mongodb.org/mongo-driver/v2/bson"
	"go.mongodb.org/mongo-driver/v2/mongo"
	"go.mongodb.org/mongo-driver/v2/mongo/options"
)

func main() {
	ctx := context.Background()

	// Replace the placeholder with your Atlas connection string
	const uri = "<connection-string>"

	// Connect to your Atlas cluster
	clientOptions := options.Client().ApplyURI(uri)
	client, err := mongo.Connect(clientOptions)
	if err != nil {
		log.Fatalf("failed to connect to the server: %v", err)
	}
	defer func() { _ = client.Disconnect(ctx) }()

	// Set the namespace
	coll := client.Database("sample_mflix").Collection("embedded_movies")

	queryVector := [2048]float64{
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0.024262359,0.054507218,-0.009721561,0.005816319,-0.00206687,-0.008766023,0.017365867,-0.000737426,0.018362951,-0.023597637,-0.019110762,0.021935832,0.041545134,-0.020357117,-0.017615138,0.044868745,-0.018030589,-0.032405205,-0.050186522,-0.014540797,0.005213914,-0.006688767,0.047527634,0.040714234,
	}

	vectorSearchStage := bson.D{
		{"$vectorSearch", bson.D{
			{"index", "vector_index"},
			{"path", "plot_embedding_voyage_3_large"},
			{"queryVector", queryVector},
			{"numCandidates", 150},
			{"limit", 10},
		}}}

	projectStage := bson.D{
		{"$project", bson.D{
			{"_id", 0},
			{"plot", 1},
			{"title", 1},
			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
		}}}

	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
	if err != nil {
		log.Fatalf("failed to retrieve data from the server: %v", err)
	}
	// Display the results
	type ProjectedMovieResult struct {
		Title string  `bson:"title"`
		Plot  string  `bson:"plot"`
		Score float64 `bson:"score"`
	}

	var results []ProjectedMovieResult
	if err = cursor.All(ctx, &results); err != nil {
		log.Fatalf("failed to unmarshal retrieved docs to ProjectedMovieResult objects: %v", err)
	}
	for _, result := range results {
		fmt.Printf("Title: %v \nPlot: %v \nScore: %v \n\n", result.Title, result.Plot, result.Score)
	}
}

```

```shell
Title: About Time
Plot: At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.
Score: 0.7710106372833252

Title: Retroactive
Plot: A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.
Score: 0.760047972202301

Title: A.P.E.X.
Plot: A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...
Score: 0.7576861381530762

Title: Timecop
Plot: An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.
Score: 0.7576561570167542

Title: Back to the Future Part II
Plot: After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.
Score: 0.7521393895149231

Title: Thrill Seekers
Plot: A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.
Score: 0.7509932518005371

Title: Timerider: The Adventure of Lyle Swann
Plot: Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...
Score: 0.7502642869949341

Title: The Time Machine
Plot: Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.
Score: 0.7502503395080566

Title: The Time Traveler's Wife
Plot: A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.
Score: 0.749496340751648

Title: The Final Countdown
Plot: A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.
Score: 0.7469133734703064

```

```java
import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import com.mongodb.client.model.search.FieldSearchPath;
import org.bson.Document;
import org.bson.conversions.Bson;

import java.util.List;

import static com.mongodb.client.model.Aggregates.project;
import static com.mongodb.client.model.Aggregates.vectorSearch;
import static com.mongodb.client.model.Projections.fields;
import static com.mongodb.client.model.Projections.include;
import static com.mongodb.client.model.Projections.exclude;
import static com.mongodb.client.model.Projections.metaVectorSearchScore;
import static com.mongodb.client.model.search.SearchPath.fieldPath;
import static com.mongodb.client.model.search.VectorSearchOptions.approximateVectorSearchOptions;
import static java.util.Arrays.asList;

public class BasicQuery {
  public static void main( String[] args ) {
    // specify connection
    String uri = "<connection-string>";

    // establish connection and set namespace
    try (MongoClient mongoClient = MongoClients.create(uri)) {
      MongoDatabase database = mongoClient.getDatabase("sample_mflix");
      MongoCollection<Document> collection = database.getCollection("embedded_movies");

      // define $vectorSearch query options
      List<Double> queryVector = 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      String indexName = "vector_index";
      FieldSearchPath fieldSearchPath = fieldPath("plot_embedding_voyage_3_large");
      int limit = 10;
      int numCandidates = 150;

      // define pipeline
      List<Bson> pipeline = asList(
        vectorSearch(
          fieldSearchPath,
          queryVector,
          indexName,
          limit,
          approximateVectorSearchOptions(numCandidates)),
        project(
          fields(exclude("_id"), include("title"), include("plot"),
          metaVectorSearchScore("score"))));

      // run query and print results
      collection.aggregate(pipeline)
        .forEach(doc -> System.out.println(doc.toJson()));	
    }
  }
}

```

```js
{"plot": "At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.", "title": "About Time", "score": 0.7710106372833252}
{"plot": "A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.", "title": "Retroactive", "score": 0.760047972202301}
{"plot": "A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...", "title": "A.P.E.X.", "score": 0.7576861381530762}
{"plot": "An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.", "title": "Timecop", "score": 0.7576561570167542}
{"plot": "After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.", "title": "Back to the Future Part II", "score": 0.7521393895149231}
{"plot": "A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.", "title": "Thrill Seekers", "score": 0.7509932518005371}
{"plot": "Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...", "title": "Timerider: The Adventure of Lyle Swann", "score": 0.7502642869949341}
{"plot": "Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.", "title": "The Time Machine", "score": 0.7502503395080566}
{"plot": "A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.", "title": "The Time Traveler's Wife", "score": 0.749496340751648}
{"plot": "A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.", "title": "The Final Countdown", "score": 0.7469133734703064}
```

```js
const { MongoClient } = require("mongodb");

// connect to your Atlas cluster
const uri = "<connection-string>";

const client = new MongoClient(uri);

async function run() {
    try {
        await client.connect();

        // set namespace
        const database = client.db("sample_mflix");
        const coll = database.collection("embedded_movies");

        // define pipeline
        const agg = [
            {
              '$vectorSearch': {
                'index': 'vector_index',
                'path': 'plot_embedding_voyage_3_large',
                'queryVector': [
                  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                ],
                'numCandidates': 150,
                'limit': 10
              }
            }, {
              '$project': {
                '_id': 0,
                'plot': 1,
                'title': 1,
                'score': {
                  '$meta': 'vectorSearchScore'
                }
              }
            }
          ];
        // run pipeline
        const result = coll.aggregate(agg);

        // print results
        await result.forEach((doc) => console.dir(JSON.stringify(doc)));
    } finally {
        await client.close();
    }
}
run().catch(console.dir);

```

```js
'{"plot":"At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.","title":"About Time","score":0.7710106372833252}'
'{"plot":"A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.","title":"Retroactive","score":0.760047972202301}'
'{"plot":"A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...","title":"A.P.E.X.","score":0.7576861381530762}'
'{"plot":"An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.","title":"Timecop","score":0.7576561570167542}'
'{"plot":"After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.","title":"Back to the Future Part II","score":0.7521393895149231}'
'{"plot":"A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.","title":"Thrill Seekers","score":0.7509932518005371}'
'{"plot":"Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...","title":"Timerider: The Adventure of Lyle Swann","score":0.7502642869949341}'
'{"plot":"Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.","title":"The Time Machine","score":0.7502503395080566}'
`{"plot":"A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.","title":"The Time Traveler's Wife","score":0.749496340751648}`
'{"plot":"A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.","title":"The Final Countdown","score":0.7469133734703064}'
```

Work with a runnable version of this example as a [Python notebook](https://github.com/mongodb/docs-notebooks/blob/main/run-queries/ann-basic.ipynb).

```python
import pymongo

# connect to your Atlas cluster
client = pymongo.MongoClient("<connection-string>")

# define pipeline
pipeline = [
  {
    '$vectorSearch': {
      'index': 'vector_index',
      'path': 'plot_embedding_voyage_3_large',
      'queryVector': 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.024262359,0.054507218,-0.009721561,0.005816319,-0.00206687,-0.008766023,0.017365867,-0.000737426,0.018362951,-0.023597637,-0.019110762,0.021935832,0.041545134,-0.020357117,-0.017615138,0.044868745,-0.018030589,-0.032405205,-0.050186522,-0.014540797,0.005213914,-0.006688767,0.047527634,0.040714234],
      'numCandidates': 150,
      'limit': 10
    }
  }, {
    '$project': {
      '_id': 0,
      'plot': 1,
      'title': 1,
      'score': {
        '$meta': 'vectorSearchScore'
      }
    }
  }
]

# run pipeline
result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)

# print results
for i in result:
    print(i)

```

```js
{'plot': 'At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.', 'title': 'About Time', 'score': 0.7710106372833252}
{'plot': 'A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.', 'title': 'Retroactive', 'score': 0.760047972202301}
{'plot': 'A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...', 'title': 'A.P.E.X.', 'score': 0.7576861381530762}
{'plot': 'An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.', 'title': 'Timecop', 'score': 0.7576561570167542}
{'plot': 'After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.', 'title': 'Back to the Future Part II', 'score': 0.7521393895149231}
{'plot': 'A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.', 'title': 'Thrill Seekers', 'score': 0.7509932518005371}
{'plot': 'Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...', 'title': 'Timerider: The Adventure of Lyle Swann', 'score': 0.7502642869949341}
{'plot': 'Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.', 'title': 'The Time Machine', 'score': 0.7502503395080566}
{'plot': 'A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.', 'title': "The Time Traveler's Wife", 'score': 0.749496340751648}
{'plot': 'A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.', 'title': 'The Final Countdown', 'score': 0.7469133734703064}
```

```json
db.movies.aggregate([
  {
    "$vectorSearch": {
      "index": "vector_index",
      "path": "fullplot",
      "query": {
        "text": "young heroes caught in epic struggles between light and darkness"
      },
      "numCandidates": 100,
      "limit": 10
    }
  },
  {
    "$project": {
      "_id": 0,
      "title": 1,
      "fullplot": 1,
      "score": {"$meta": "vectorSearchScore"}
    }
  }
])
```

```js
[
  {
    title: 'Day Watch',
    fullplot: 'Anton belongs to the Forces of the Light as well as his powerful girlfriend and apprentice, but his son is a powerful teenager from the Darkness and Anton protects him. When the balance between Light and Darkness is affected by the death of some evil vampires, Anton is framed and accused of the murders, and he chases an ancient chalk that has the power of changing the destiny of its owner.',
    score: 0.7819244861602783
  },
  {
    title: 'Bionicle: Mask of Light',
    fullplot: "In a land of living machines, two young ones are chosen to seek the legendary Mask of Light to reveal the savior of all the lands from the dark forces of the Makuta. During the course of their adventure, they will call on the heroes of their people, the great Toa. These Toa, masters of nature's forces such as Fire, Wind, Earth & Water, try to protect the chosen ones as they seek their destiny.",
    score: 0.7639057636260986
  },
  {
    title: 'Rise of the Legend',
    fullplot: 'An orphan, whose father has been killed by dark power, attempts to bring justice back to the town.',
    score: 0.7623423337936401
  },
  {
    title: 'Tales of Vesperia: The First Strike',
    fullplot: 'In a mythical kingdom, the mighty Imperial Knights harness a magical substance known as Aer to power their weapons and protect humanity from the monsters of the forest. But something strange is afoot. The Aer is somehow changing, causing the wilderness to waste away and stirring the woodland beasts to attack with greater frequency. As danger creeps steadily closer to civilization, two young recruits - Flynn, the rigid son of a fallen hero, and the rebellious and brash Yuri - must ride with their fellow Imperial Knights to distant ruins in hopes of uncovering the truth behind the transforming Aer. Some will not survive the thrilling journey. Some will be betrayed. If Flynn and Yuri cannot overcome their differences and learn to fight together, all will be lost for the people of the realm.',
    score: 0.7465348839759827
  },
  {
    title: 'Mune, le gardien de la lune',
    fullplot: 'When a faun named Mune becomes the Guardian of the Moon, little did he had unprepared experience with the Moon and an accident that could put both the Moon and the Sun in danger, including a corrupt titan named Necross who wants the Sun for himself and placing the balance of night and day in great peril. Now with the help of a wax-child named Glim and the warrior, Sohone who also became the Sun Guardian, they go out on an exciting journey to get the Sun back and restore the Moon to their rightful place in the sky.',
    score: 0.7459509372711182
  },
  {
    title: 'Island of Lost Souls',
    fullplot: '14-year-old Lulu moves to a small provincial town with her mother and younger brother. One night, her brother is struck by a beam of white light - actually the spirit of Herman Hartmann from the 19th-century. To her despair, Lulu realizes that Herman has possessed her brother, and the two of them are whirled into a fevered adventure. Joined by Oliver, a rich kid, and Richard, a disillusioned clairvoyant and inventor, they take on the dark, supernatural forces gathering over the town - evil from deep in the land of the dead, determined to take over the world and see them die.',
    score: 0.7382349967956543
  },
  {
    title: 'Deathgasm',
    fullplot: 'Two teenage boys unwittingly summon an ancient evil entity known as The Blind One by delving into black magic while trying to escape their mundane lives.',
    score: 0.737689733505249
  },
  {
    title: 'Catatan (Harian) si Boy',
    fullplot: "A circle of friends risking their Friendship, Trust, Love and Hope in search of a legend. A young and privileged teenager with a golden heart, beset with challenges and tribulations we face today with the goal to open many young people's mind with inspirations and hopes that drive them in achieving their dreams. To get out of their comfort zone and finish what they started.",
    score: 0.736668586730957
  },
  {
    fullplot: 'A young boy learns that he has extraordinary powers and is not of this Earth. As a young man, he journeys to discover where he came from and what he was sent here to do. But the hero in him must emerge if he is to save the world from annihilation and become the symbol of hope for all mankind.',
    title: 'Man of Steel',
    score: 0.7358733415603638
  },
  {
    title: 'The Mortal Instruments: City of Bones',
    fullplot: 'Set in contemporary New York City, a seemingly ordinary teenager, Clary Fray, discovers she is the descendant of a line of Shadowhunters, a secret cadre of young half-angel warriors locked in an ancient battle to protect our world from demons. After the disappearance of her mother, Clary must join forces with a group of Shadowhunters, who introduce her to a dangerous alternate New York called Downworld, filled with demons, warlocks, vampires, werewolves and other deadly creatures.',
    score: 0.7349420189857483
  }
]
```

```json
const { MongoClient } = require("mongodb");

// connect to your Atlas cluster
const uri = "<connection-string>";

const client = new MongoClient(uri);

async function run() {
    try {
        await client.connect();

        // set namespace
        const database = client.db("sample_mflix");
        const coll = database.collection("movies");

        // define pipeline
        const agg = [
            {
              '$vectorSearch': {
                'index': 'vector_index',
                'path': 'fullplot',
                'query': {
                  "text": 'young heroes caught in epic struggles between light and darkness'
                },
                'numCandidates': 100,
                'limit': 10
              }
            }, {
              '$project': {
                '_id': 0,
                'fullplot': 1,
                'title': 1,
                'score': {
                  '$meta': 'vectorSearchScore'
                }
              }
            }
          ];
        // run pipeline
        const result = coll.aggregate(agg);

        // print results
        await result.forEach((doc) => console.dir(JSON.stringify(doc)));
    } finally {
        await client.close();
    }
}
run().catch(console.dir);

```

```js
'{"title":"Day Watch","fullplot":"Anton belongs to the Forces of the Light as well as his powerful girlfriend and apprentice, but his son is a powerful teenager from the Darkness and Anton protects him. When the balance between Light and Darkness is affected by the death of some evil vampires, Anton is framed and accused of the murders, and he chases an ancient chalk that has the power of changing the destiny of its owner.","score":0.7819244861602783}'
`{"title":"Bionicle: Mask of Light","fullplot":"In a land of living machines, two young ones are chosen to seek the legendary Mask of Light to reveal the savior of all the lands from the dark forces of the Makuta. During the course of their adventure, they will call on the heroes of their people, the great Toa. These Toa, masters of nature's forces such as Fire, Wind, Earth & Water, try to protect the chosen ones as they seek their destiny.","score":0.7639057636260986}`
'{"title":"Rise of the Legend","fullplot":"An orphan, whose father has been killed by dark power, attempts to bring justice back to the town.","score":0.7623423337936401}'
'{"title":"Tales of Vesperia: The First Strike","fullplot":"In a mythical kingdom, the mighty Imperial Knights harness a magical substance known as Aer to power their weapons and protect humanity from the monsters of the forest. But something strange is afoot. The Aer is somehow changing, causing the wilderness to waste away and stirring the woodland beasts to attack with greater frequency. As danger creeps steadily closer to civilization, two young recruits - Flynn, the rigid son of a fallen hero, and the rebellious and brash Yuri - must ride with their fellow Imperial Knights to distant ruins in hopes of uncovering the truth behind the transforming Aer. Some will not survive the thrilling journey. Some will be betrayed. If Flynn and Yuri cannot overcome their differences and learn to fight together, all will be lost for the people of the realm.","score":0.7465348839759827}'
'{"title":"Mune, le gardien de la lune","fullplot":"When a faun named Mune becomes the Guardian of the Moon, little did he had unprepared experience with the Moon and an accident that could put both the Moon and the Sun in danger, including a corrupt titan named Necross who wants the Sun for himself and placing the balance of night and day in great peril. Now with the help of a wax-child named Glim and the warrior, Sohone who also became the Sun Guardian, they go out on an exciting journey to get the Sun back and restore the Moon to their rightful place in the sky.","score":0.7459509372711182}'
'{"title":"Island of Lost Souls","fullplot":"14-year-old Lulu moves to a small provincial town with her mother and younger brother. One night, her brother is struck by a beam of white light - actually the spirit of Herman Hartmann from the 19th-century. To her despair, Lulu realizes that Herman has possessed her brother, and the two of them are whirled into a fevered adventure. Joined by Oliver, a rich kid, and Richard, a disillusioned clairvoyant and inventor, they take on the dark, supernatural forces gathering over the town - evil from deep in the land of the dead, determined to take over the world and see them die.","score":0.7382349967956543}'
'{"title":"Deathgasm","fullplot":"Two teenage boys unwittingly summon an ancient evil entity known as The Blind One by delving into black magic while trying to escape their mundane lives.","score":0.737689733505249}'
`{"title":"Catatan (Harian) si Boy","fullplot":"A circle of friends risking their Friendship, Trust, Love and Hope in search of a legend. A young and privileged teenager with a golden heart, beset with challenges and tribulations we face today with the goal to open many young people's mind with inspirations and hopes that drive them in achieving their dreams. To get out of their comfort zone and finish what they started.","score":0.736668586730957}`
'{"fullplot":"A young boy learns that he has extraordinary powers and is not of this Earth. As a young man, he journeys to discover where he came from and what he was sent here to do. But the hero in him must emerge if he is to save the world from annihilation and become the symbol of hope for all mankind.","title":"Man of Steel","score":0.7358733415603638}'
'{"title":"The Mortal Instruments: City of Bones","fullplot":"Set in contemporary New York City, a seemingly ordinary teenager, Clary Fray, discovers she is the descendant of a line of Shadowhunters, a secret cadre of young half-angel warriors locked in an ancient battle to protect our world from demons. After the disappearance of her mother, Clary must join forces with a group of Shadowhunters, who introduce her to a dangerous alternate New York called Downworld, filled with demons, warlocks, vampires, werewolves and other deadly creatures.","score":0.7349420189857483}'
```

```python
import pymongo

# connect to your Atlas cluster
client = pymongo.MongoClient("<connection-string>")

# define pipeline
pipeline = [
  {
    '$vectorSearch': {
      'index': 'vector_index',
      'path': 'fullplot',
      'query': {
        "text": "young heroes caught in epic struggles between light and darkness"
      },
      'numCandidates': 100,
      'limit': 10
    }
  }, {
    '$project': {
      '_id': 0,
      'fullplot': 1,
      'title': 1,
      'score': {
        '$meta': 'vectorSearchScore'
      }
    }
  }
]

# run pipeline
result = client["sample_mflix"]["movies"].aggregate(pipeline)

# print results
for i in result:
    print(i)

```

```js
{'title': 'Day Watch', 'fullplot': 'Anton belongs to the Forces of the Light as well as his powerful girlfriend and apprentice, but his son is a powerful teenager from the Darkness and Anton protects him. When the balance between Light and Darkness is affected by the death of some evil vampires, Anton is framed and accused of the murders, and he chases an ancient chalk that has the power of changing the destiny of its owner.', 'score': 0.7819244861602783}
{'title': 'Bionicle: Mask of Light', 'fullplot': "In a land of living machines, two young ones are chosen to seek the legendary Mask of Light to reveal the savior of all the lands from the dark forces of the Makuta. During the course of their adventure, they will call on the heroes of their people, the great Toa. These Toa, masters of nature's forces such as Fire, Wind, Earth & Water, try to protect the chosen ones as they seek their destiny.", 'score': 0.7639057636260986}
{'title': 'Rise of the Legend', 'fullplot': 'An orphan, whose father has been killed by dark power, attempts to bring justice back to the town.', 'score': 0.7623423337936401}
{'title': 'Tales of Vesperia: The First Strike', 'fullplot': 'In a mythical kingdom, the mighty Imperial Knights harness a magical substance known as Aer to power their weapons and protect humanity from the monsters of the forest. But something strange is afoot. The Aer is somehow changing, causing the wilderness to waste away and stirring the woodland beasts to attack with greater frequency. As danger creeps steadily closer to civilization, two young recruits - Flynn, the rigid son of a fallen hero, and the rebellious and brash Yuri - must ride with their fellow Imperial Knights to distant ruins in hopes of uncovering the truth behind the transforming Aer. Some will not survive the thrilling journey. Some will be betrayed. If Flynn and Yuri cannot overcome their differences and learn to fight together, all will be lost for the people of the realm.', 'score': 0.7465348839759827}
{'title': 'Mune, le gardien de la lune', 'fullplot': 'When a faun named Mune becomes the Guardian of the Moon, little did he had unprepared experience with the Moon and an accident that could put both the Moon and the Sun in danger, including a corrupt titan named Necross who wants the Sun for himself and placing the balance of night and day in great peril. Now with the help of a wax-child named Glim and the warrior, Sohone who also became the Sun Guardian, they go out on an exciting journey to get the Sun back and restore the Moon to their rightful place in the sky.', 'score': 0.7459509372711182}
{'title': 'Island of Lost Souls', 'fullplot': '14-year-old Lulu moves to a small provincial town with her mother and younger brother. One night, her brother is struck by a beam of white light - actually the spirit of Herman Hartmann from the 19th-century. To her despair, Lulu realizes that Herman has possessed her brother, and the two of them are whirled into a fevered adventure. Joined by Oliver, a rich kid, and Richard, a disillusioned clairvoyant and inventor, they take on the dark, supernatural forces gathering over the town - evil from deep in the land of the dead, determined to take over the world and see them die.', 'score': 0.7382349967956543}
{'title': 'Deathgasm', 'fullplot': 'Two teenage boys unwittingly summon an ancient evil entity known as The Blind One by delving into black magic while trying to escape their mundane lives.', 'score': 0.737689733505249}
{'title': 'Catatan (Harian) si Boy', 'fullplot': "A circle of friends risking their Friendship, Trust, Love and Hope in search of a legend. A young and privileged teenager with a golden heart, beset with challenges and tribulations we face today with the goal to open many young people's mind with inspirations and hopes that drive them in achieving their dreams. To get out of their comfort zone and finish what they started.", 'score': 0.736668586730957}
{'fullplot': 'A young boy learns that he has extraordinary powers and is not of this Earth. As a young man, he journeys to discover where he came from and what he was sent here to do. But the hero in him must emerge if he is to save the world from annihilation and become the symbol of hope for all mankind.', 'title': 'Man of Steel', 'score': 0.7358733415603638}
{'title': 'The Mortal Instruments: City of Bones', 'fullplot': 'Set in contemporary New York City, a seemingly ordinary teenager, Clary Fray, discovers she is the descendant of a line of Shadowhunters, a secret cadre of young half-angel warriors locked in an ancient battle to protect our world from demons. After the disappearance of her mother, Clary must join forces with a group of Shadowhunters, who introduce her to a dangerous alternate New York called Downworld, filled with demons, warlocks, vampires, werewolves and other deadly creatures.', 'score': 0.7349420189857483}
```

</Tab>

<Tab name="ANN Filter Example">

The following query filters the documents for movies released between January 01, `1955` and January 01, `1975` before performing the semantic search against the sample vector data. It uses the [`$and`](https://www.mongodb.com/docs/manual/reference/operator/query/and/#mongodb-query-op.-and) operator to perform a logical `AND` operation of the specified dates. It then searches the `plot_embedding_voyage_3_large` field in the filtered documents for `150` nearest neighbors using the vector embeddings for the string *kids adventure*, and returns `10` documents in the results. The query also specifies a [`$project`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/project/#mongodb-pipeline-pipe.-project) stage to do the following:

- Exclude the `_id` field and include only `plot`, `title`, and `year` fields in the results.

- Add a field named `score` that shows the vector search score of the documents in the results.

The following query filters the documents for movies released between January 01, `1955` and January 01, `1975` before performing the semantic search against the sample vector data. It uses the [`$and`](https://www.mongodb.com/docs/manual/reference/operator/query/and/#mongodb-query-op.-and) operator to perform a logical `AND` operation of the specified dates. It then searches the `plot_embedding_voyage_3_large` field in the filtered documents for `150` nearest neighbors using the vector embeddings for the string *kids adventure*, and returns `10` documents in the results. The query also specifies a [`$project`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/project/#mongodb-pipeline-pipe.-project) stage to do the following:

- Exclude the `_id` field and include only `plot`, `title`, and `year` fields in the results.

- Add a field named `score` that shows the vector search score of the documents in the results.

The following query uses the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) stage to search the `fullplot` field for movies. The query automatically generates vector embeddings for the string *epic fantasy journey with reluctant heroes* using the `voyage-4` embedding model, which is the same model that was used to index the `fullplot` field, to perform a semantic search. The query specifies the following criteria to pre-filter the documents for the semantic search:

- Include only movies released between the years `1980` to `2020`, both inclusive.

- Include only movies in the genres `Action`, `Adventure`, and `Family`.

It considers up to `100` nearest neighbors, and returns `10` documents in the results. The query also specifies a [`$project`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/project/#mongodb-pipeline-pipe.-project) stage to do the following:

- Exclude the `_id` field and include only the `fullplot`, `genres`, and `title` fields in the results.

- Add a field named `score` that shows the [vector search score](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#std-label-vectorSearch-agg-pipeline-score) for each document in the results.

#### Save the following embeddings in a file named `query-embeddings.js`:

```javascript
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```

#### Load the file into [`mongosh`](https://www.mongodb.com/docs/mongodb-shell/#mongodb-binary-bin.mongosh) to use the embeddings in your query:

```javascript
load('/<path-to-file>/query-embeddings.js');
```

#### Run the query:

```json
db.embedded_movies.aggregate([
  {
    "$vectorSearch": {
      "index": "vector_index",
      "path": "plot_embedding_voyage_3_large",
      "filter": {
        "$and": [
          {
            "year": {  "$gt": 1955  }
          },
          {
            "year": {  "$lt": 1975 }
          }
        ]
      },
      "queryVector": KIDS_ADVENTURE_EMBEDDING,
      "numCandidates": 150,
      "limit": 10
    }
  },
  {
    "$project": {
      "_id": 0,
      "title": 1,
      "plot": 1,
      "year": 1,
      "score": { $meta: "vectorSearchScore" }
    }
  }
])
```

```js
[
  {
    plot: 'A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.',
    title: 'Chitty Chitty Bang Bang',
    year: 1968,
    score: 0.7489712834358215
  },
  {
    plot: 'A pilot, stranded in the desert, meets a little boy who is a prince on a planet.',
    title: 'The Little Prince',
    year: 1974,
    score: 0.7346078753471375
  },
  {
    plot: 'In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.',
    title: 'In Search of the Castaways',
    year: 1962,
    score: 0.7281590104103088
  },
  {
    plot: 'An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.',
    title: 'Bedknobs and Broomsticks',
    year: 1971,
    score: 0.720349133014679
  },
  {
    plot: "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.",
    title: 'Pastoral Hide and Seek',
    year: 1974,
    score: 0.7195663452148438
  },
  {
    plot: 'In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...',
    title: 'Peter Pan',
    year: 1960,
    score: 0.7195032238960266
  },
  {
    plot: 'When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...',
    title: 'The Cowboys',
    year: 1972,
    score: 0.717952311038971
  },
  {
    plot: 'When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.',
    title: 'The 7th Voyage of Sinbad',
    year: 1958,
    score: 0.7148033380508423
  },
  {
    plot: 'A red balloon with a life of its own follows a little boy around the streets of Paris.',
    title: 'The Red Balloon',
    year: 1956,
    score: 0.7147064805030823
  },
  {
    plot: 'This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...',
    title: 'Perri',
    year: 1957,
    score: 0.712087094783783
  }
]
```

The following query filters the documents for movies released between January 01, `1955` and January 01, `1975` before performing the semantic search against the sample vector data. It uses the [`$and`](https://www.mongodb.com/docs/manual/reference/operator/query/and/#mongodb-query-op.-and) operator to perform a logical `AND` operation of the specified dates. It then searches the `plot_embedding_voyage_3_large` field in the filtered documents for `150` nearest neighbors using the vector embeddings for the string *kids adventure*, and returns `10` documents in the results. The query also specifies a [`$project`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/project/#mongodb-pipeline-pipe.-project) stage to do the following:

- Exclude the `_id` field and include only `plot`, `title`, and `year` fields in the results.

- Add a field named `score` that shows the vector search score of the documents in the results.

```csharp
using System.Reflection.Emit;
using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;

public class vectorSearchFilterQuery
{
  // define connection to your Atlas cluster
  private const string MongoConnectionString = "<connection-string>";

  public static void Main(string[] args){
    var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
    ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);

    // connect to your Atlas cluster
    var mongoClient = new MongoClient(MongoConnectionString);

    // define namespace
    var moviesDatabase = mongoClient.GetDatabase("sample_mflix");
    var moviesCollection = moviesDatabase.GetCollection<EmbeddedMovie>("embedded_movies");

    // define vector embeddings to search
    var vector = new[] 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0.037876874,0.033142265,0.041607171,-0.011477841,0.031133642,-0.045050524,-0.003981376,-0.025394723,-0.031707536,0.024533885,0.032568373,0.028694602,-0.021090532,-0.019942747,0.054806691,-0.004483532,-0.020086221,-0.01599724,0.018651491,0.020373167,0.000504397,-0.007424728,-0.063702017,-0.014203828,0.030846696,-0.006599758,-0.027259871,-0.024103465,-0.020660114,-0.004985687,0.005559579,-0.034146577,-0.011549577,-0.00173961,0.008321434,0.007030177,-0.015638558};
    // define filter
    var yearGtFilter = Builders<EmbeddedMovie>.Filter.Gt("year", 1955);
    var yearLtFilter = Builders<EmbeddedMovie>.Filter.Lt("year", 1975);
    // define options
    var options = new VectorSearchOptions<EmbeddedMovie>() {
        Filter = Builders<EmbeddedMovie>.Filter.And(yearGtFilter, yearLtFilter),
        IndexName = "vector_index",
        NumberOfCandidates = 150
    };

    // run query
    var results = moviesCollection.Aggregate()
                .VectorSearch(m => m.Embedding, vector, 10, options)
                .Project(Builders<EmbeddedMovie>.Projection
                  .Include(m => m.Title)
                  .Include(movie => movie.Plot)
                  .Include(movie => movie.Year)
                  .MetaVectorSearchScore(m => m.Score))
                .ToList();

    // print results
    foreach (var movie in results)
      {
        Console.WriteLine(movie.ToJson());
      }
  }
}

[BsonIgnoreExtraElements]
public class EmbeddedMovie
{
    [BsonIgnoreIfDefault]
    public string Title { get; set; }
    public string Plot { get; set; }
    public int Year { get; set; }
    [BsonElement("plot_embedding_voyage_3_large")]
    public double[] Embedding { get; set; }
    public double Score { get; set; }
}
```

```js
{ "_id" : { "$oid" : "573a1396f29313caabce34d3" }, "plot" : "A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.", "title" : "Chitty Chitty Bang Bang", "year" : 1968, "score" : 0.74897128343582153 }
{ "_id" : { "$oid" : "573a1396f29313caabce5648" }, "plot" : "A pilot, stranded in the desert, meets a little boy who is a prince on a planet.", "title" : "The Little Prince", "year" : 1974, "score" : 0.73460787534713745 }
{ "_id" : { "$oid" : "573a1395f29313caabce1b8d" }, "plot" : "In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.", "title" : "In Search of the Castaways", "year" : 1962, "score" : 0.72815901041030884 }
{ "_id" : { "$oid" : "573a1396f29313caabce43e1" }, "plot" : "An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.", "title" : "Bedknobs and Broomsticks", "year" : 1971, "score" : 0.72034913301467896 }
{ "_id" : { "$oid" : "573a1396f29313caabce54e6" }, "plot" : "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", "title" : "Pastoral Hide and Seek", "year" : 1974, "score" : 0.71956634521484375 }
{ "_id" : { "$oid" : "573a1395f29313caabce143b" }, "plot" : "In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...", "title" : "Peter Pan", "year" : 1960, "score" : 0.71950322389602661 }
{ "_id" : { "$oid" : "573a1396f29313caabce49bf" }, "plot" : "When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...", "title" : "The Cowboys", "year" : 1972, "score" : 0.71795231103897095 }
{ "_id" : { "$oid" : "573a1394f29313caabce0951" }, "plot" : "When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.", "title" : "The 7th Voyage of Sinbad", "year" : 1958, "score" : 0.71480333805084229 }
{ "_id" : { "$oid" : "573a1394f29313caabce000d" }, "plot" : "A red balloon with a life of its own follows a little boy around the streets of Paris.", "title" : "The Red Balloon", "year" : 1956, "score" : 0.71470648050308228 }
{ "_id" : { "$oid" : "573a1394f29313caabce074d" }, "plot" : "This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...", "title" : "Perri", "year" : 1957, "score" : 0.71208715438842773 }
```

```go
package main

import (
	"context"
	"fmt"
	"log"

	"go.mongodb.org/mongo-driver/v2/bson"
	"go.mongodb.org/mongo-driver/v2/mongo"
	"go.mongodb.org/mongo-driver/v2/mongo/options"
)

func main() {
	ctx := context.Background()

	// Replace the placeholder with your Atlas connection string
	const uri = "<connection-string>"

	// Connect to your Atlas cluster
	clientOptions := options.Client().ApplyURI(uri)
	client, err := mongo.Connect(clientOptions)
	if err != nil {
		log.Fatalf("failed to connect to the server: %v", err)
	}
	defer func() { _ = client.Disconnect(ctx) }()

	// Set the namespace
	coll := client.Database("sample_mflix").Collection("embedded_movies")

	queryVector := [2048]float64{
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	}

	vectorSearchStage := bson.D{
		{"$vectorSearch", bson.D{
			{"index", "vector_index"},
			{"path", "plot_embedding_voyage_3_large"},
			{"filter", bson.D{{
				"$and", bson.A{
					bson.D{{"year", bson.D{{"$gt", 1955}}}},
					bson.D{{"year", bson.D{{"$lt", 1975}}}},
				},
			}}},
			{"queryVector", queryVector},
			{"numCandidates", 150},
			{"limit", 10},
		}}}

	projectStage := bson.D{
		{"$project", bson.D{
			{"_id", 0},
			{"plot", 1},
			{"title", 1},
			{"year", 1},
			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
		}}}

	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
	if err != nil {
		log.Fatalf("failed to retrieve data from the server: %v", err)
	}
	// display the results
	type ProjectedMovieResult struct {
		Title string  `bson:"title"`
		Plot  string  `bson:"plot"`
		Year  int32   `bson:"year"`
		Score float64 `bson:"score"`
	}

	var results []ProjectedMovieResult
	if err = cursor.All(ctx, &results); err != nil {
		log.Fatalf("failed to unmarshal retrieved docs to ProjectedMovieResult objects: %v", err)
	}
	for _, result := range results {
		fmt.Printf("Title: %v \nPlot: %v \nYear: %v \nScore: %v \n\n", result.Title, result.Plot, result.Year, result.Score)
	}
}

```

```shell
Title: Chitty Chitty Bang Bang
Plot: A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.
Year: 1968
Score: 0.7489712834358215

Title: The Little Prince
Plot: A pilot, stranded in the desert, meets a little boy who is a prince on a planet.
Year: 1974
Score: 0.7346078753471375

Title: In Search of the Castaways
Plot: In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.
Year: 1962
Score: 0.7281590104103088

Title: Bedknobs and Broomsticks
Plot: An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.
Year: 1971
Score: 0.720349133014679

Title: Pastoral Hide and Seek
Plot: A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.
Year: 1974
Score: 0.7195663452148438

Title: Peter Pan
Plot: In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...
Year: 1960
Score: 0.7195032238960266

Title: The Cowboys
Plot: When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...
Year: 1972
Score: 0.717952311038971

Title: The 7th Voyage of Sinbad
Plot: When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.
Year: 1958
Score: 0.7148033380508423

Title: The Red Balloon
Plot: A red balloon with a life of its own follows a little boy around the streets of Paris.
Year: 1956
Score: 0.7147064805030823

Title: Perri
Plot: This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...
Year: 1957
Score: 0.7120871543884277
```

```java
import static com.mongodb.client.model.Aggregates.*;
import static com.mongodb.client.model.Projections.*;
import static com.mongodb.client.model.search.SearchPath.fieldPath;
import static java.util.Arrays.asList;
import static com.mongodb.client.model.Filters.*;

import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import com.mongodb.client.model.search.FieldSearchPath;
import com.mongodb.client.model.search.VectorSearchOptions;
import org.bson.Document;
import org.bson.conversions.Bson;

import java.util.List;

public class FilterQuery {
    public static void main(String[] args) {
        // Specify connection URI
        String uri = "<connection-string>";

        // Establish connection and set namespace
        try (MongoClient mongoClient = MongoClients.create(uri)) {
            MongoDatabase database = mongoClient.getDatabase("sample_mflix");
            MongoCollection<Document> collection = database.getCollection("embedded_movies");

            // Parameters
            List<Double> queryVector = 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16761,0.037876874,0.033142265,0.041607171,-0.011477841,0.031133642,-0.045050524,-0.003981376,-0.025394723,-0.031707536,0.024533885,0.032568373,0.028694602,-0.021090532,-0.019942747,0.054806691,-0.004483532,-0.020086221,-0.01599724,0.018651491,0.020373167,0.000504397,-0.007424728,-0.063702017,-0.014203828,0.030846696,-0.006599758,-0.027259871,-0.024103465,-0.020660114,-0.004985687,0.005559579,-0.034146577,-0.011549577,-0.00173961,0.008321434,0.007030177,-0.015638558);
            String indexName = "vector_index";
            FieldSearchPath fieldSearchPath = fieldPath("plot_embedding_voyage_3_large");
            long numCandidates = 150;
            long limit = 10;

            // Define filter criteria
            Bson criteria = and(gt("year", 1955), lt("year", 1975));

            // Create VectorSearchOptions
            VectorSearchOptions options = VectorSearchOptions.approximateVectorSearchOptions(numCandidates)
                .filter(criteria);

            // Define the pipeline
            List<Bson> pipeline = asList(
                vectorSearch(
                    fieldSearchPath,
                    queryVector,
                    indexName,
                    limit,
                    options
                ),
                project(
                    fields(
                        exclude("_id"),
                        include("title"),
                        include("plot"),
                        include("year"),
                        metaVectorSearchScore("score")
                    )
                )
            );

            // Run query and print results
            collection.aggregate(pipeline).forEach(doc -> System.out.println(doc.toJson()));
        }
    }
}
```

```js
{"plot": "A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.", "title": "Chitty Chitty Bang Bang", "year": 1968, "score": 0.7489712834358215}
{"plot": "A pilot, stranded in the desert, meets a little boy who is a prince on a planet.", "title": "The Little Prince", "year": 1974, "score": 0.7346078753471375}
{"plot": "In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.", "title": "In Search of the Castaways", "year": 1962, "score": 0.7281590104103088}
{"plot": "An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.", "title": "Bedknobs and Broomsticks", "year": 1971, "score": 0.720349133014679}
{"plot": "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", "title": "Pastoral Hide and Seek", "year": 1974, "score": 0.7195663452148438}
{"plot": "In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...", "title": "Peter Pan", "year": 1960, "score": 0.7195032238960266}
{"plot": "When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...", "title": "The Cowboys", "year": 1972, "score": 0.717952311038971}
{"plot": "When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.", "title": "The 7th Voyage of Sinbad", "year": 1958, "score": 0.7148033380508423}
{"plot": "A red balloon with a life of its own follows a little boy around the streets of Paris.", "title": "The Red Balloon", "year": 1956, "score": 0.7147064805030823}
{"plot": "This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...", "title": "Perri", "year": 1957, "score": 0.7120871543884277}
```

```js
const { MongoClient } = require("mongodb");

// connect to your Atlas cluster
const uri = "<connection-string>";

const client = new MongoClient(uri);

async function run() {
  try {
    await client.connect();

    // set namespace
    const database = client.db("sample_mflix");
    const coll = database.collection("embedded_movies");

    // define pipeline
    const agg = [
      {
        '$vectorSearch': {
          'index': 'vector_index',
          'path': 'plot_embedding_voyage_3_large',
          'filter': {
            '$and': [
              {
                'year': {
                  '$gt': 1955
                }
              },
              {
                'year': {
                  '$lt': 1975
                }
              }
            ]
          },
          'queryVector': 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0.037876874,0.033142265,0.041607171,-0.011477841,0.031133642,-0.045050524,-0.003981376,-0.025394723,-0.031707536,0.024533885,0.032568373,0.028694602,-0.021090532,-0.019942747,0.054806691,-0.004483532,-0.020086221,-0.01599724,0.018651491,0.020373167,0.000504397,-0.007424728,-0.063702017,-0.014203828,0.030846696,-0.006599758,-0.027259871,-0.024103465,-0.020660114,-0.004985687,0.005559579,-0.034146577,-0.011549577,-0.00173961,0.008321434,0.007030177,-0.015638558],
          'numCandidates': 150,
          'limit': 10
        }
      }, {
        '$project': {
          '_id': 0,
          'title': 1,
          'plot': 1,
          'year': 1,
          'score': {
            '$meta': 'vectorSearchScore'
          }
        }
      }
    ];
  // run pipeline
  const result = coll.aggregate(agg);

  // print results
    await result.forEach((doc) => console.dir(JSON.stringify(doc)));
  } finally {
    await client.close();
  }
}
run().catch(console.dir);

```

```js
'{"plot":"A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.","title":"Chitty Chitty Bang Bang","year":1968,"score":0.7492260932922363}'
'{"plot":"A pilot, stranded in the desert, meets a little boy who is a prince on a planet.","title":"The Little Prince","year":1974,"score":0.734635591506958}'
'{"plot":"In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.","title":"In Search of the Castaways","year":1962,"score":0.7282257080078125}'
'{"plot":"An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.","title":"Bedknobs and Broomsticks","year":1971,"score":0.7203655242919922}'
`{"plot":"A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.","title":"Pastoral Hide and Seek","year":1974,"score":0.7198004722595215}`
'{"plot":"In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...","title":"Peter Pan","year":1960,"score":0.7196557521820068}'
'{"plot":"When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...","title":"The Cowboys","year":1972,"score":0.7186427116394043}'
'{"plot":"When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.","title":"The 7th Voyage of Sinbad","year":1958,"score":0.7148654460906982}'
'{"plot":"A red balloon with a life of its own follows a little boy around the streets of Paris.","title":"The Red Balloon","year":1956,"score":0.7147994041442871}'
'{"plot":"This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...","title":"Perri","year":1957,"score":0.712277889251709}'
```

Work with a runnable version of this example as a [Python notebook](https://github.com/mongodb/docs-notebooks/blob/main/run-queries/ann-filter.ipynb).

```python
import pymongo

# connect to your Atlas cluster
client = pymongo.MongoClient("<connection-string>")

# define pipeline
pipeline = [
  {
    '$vectorSearch': {
      'index': 'vector_index',
      'path': 'plot_embedding_voyage_3_large',
      'filter': {
        '$and': [
          {
            'year': {
              '$gt': 1955
            }
          },
          {
            'year': {
              '$lt': 1975
            }
          }
        ]
      },
      'queryVector': 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      'numCandidates': 150,
      'limit': 10
    }
  }, {
    '$project': {
      '_id': 0,
      'title': 1,
      'plot': 1,
      'year': 1,
      'score': {
        '$meta': 'vectorSearchScore'
      }
    }
  }
]

# run pipeline
result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)

# print results
for i in result:
    print(i)

```

```js
{'plot': 'A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.', 'title': 'Chitty Chitty Bang Bang', 'year': 1968, 'score': 0.7492260932922363}
{'plot': 'A pilot, stranded in the desert, meets a little boy who is a prince on a planet.', 'title': 'The Little Prince', 'year': 1974, 'score': 0.734635591506958}
{'plot': 'In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.', 'title': 'In Search of the Castaways', 'year': 1962, 'score': 0.7282257080078125}
{'plot': 'An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.', 'title': 'Bedknobs and Broomsticks', 'year': 1971, 'score': 0.7203655242919922}
{'plot': "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", 'title': 'Pastoral Hide and Seek', 'year': 1974, 'score': 0.7198004722595215}
{'plot': 'In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...', 'title': 'Peter Pan', 'year': 1960, 'score': 0.7196557521820068}
{'plot': 'When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...', 'title': 'The Cowboys', 'year': 1972, 'score': 0.7186427116394043}
{'plot': 'When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.', 'title': 'The 7th Voyage of Sinbad', 'year': 1958, 'score': 0.7148654460906982}
{'plot': 'A red balloon with a life of its own follows a little boy around the streets of Paris.', 'title': 'The Red Balloon', 'year': 1956, 'score': 0.7147994041442871}
{'plot': 'This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...', 'title': 'Perri', 'year': 1957, 'score': 0.712277889251709}
```

#### Save the following embeddings in a file named `query-embeddings.js`:

```javascript
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```

#### Load the file into [`mongosh`](https://www.mongodb.com/docs/mongodb-shell/#mongodb-binary-bin.mongosh) to use the embeddings in your query:

```javascript
load('/<path-to-file>/query-embeddings.js');
```

#### Run the query:

```json
db.embedded_movies.aggregate([
  {
    "$vectorSearch": {
      "index": "vector_index",
      "path": "plot_embedding_voyage_3_large",
      "filter": {
        "$and": [
          {
            "year": {  "$gt": 1955  }
          },
          {
            "year": {  "$lt": 1975 }
          }
        ]
      },
      "queryVector": KIDS_ADVENTURE_EMBEDDING,
      "numCandidates": 150,
      "limit": 10
    }
  },
  {
    "$project": {
      "_id": 0,
      "title": 1,
      "plot": 1,
      "year": 1,
      "score": { $meta: "vectorSearchScore" }
    }
  }
])
```

```js
[
  {
    plot: 'A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.',
    title: 'Chitty Chitty Bang Bang',
    year: 1968,
    score: 0.7489712834358215
  },
  {
    plot: 'A pilot, stranded in the desert, meets a little boy who is a prince on a planet.',
    title: 'The Little Prince',
    year: 1974,
    score: 0.7346078753471375
  },
  {
    plot: 'In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.',
    title: 'In Search of the Castaways',
    year: 1962,
    score: 0.7281590104103088
  },
  {
    plot: 'An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.',
    title: 'Bedknobs and Broomsticks',
    year: 1971,
    score: 0.720349133014679
  },
  {
    plot: "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.",
    title: 'Pastoral Hide and Seek',
    year: 1974,
    score: 0.7195663452148438
  },
  {
    plot: 'In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...',
    title: 'Peter Pan',
    year: 1960,
    score: 0.7195032238960266
  },
  {
    plot: 'When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...',
    title: 'The Cowboys',
    year: 1972,
    score: 0.717952311038971
  },
  {
    plot: 'When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.',
    title: 'The 7th Voyage of Sinbad',
    year: 1958,
    score: 0.7148033380508423
  },
  {
    plot: 'A red balloon with a life of its own follows a little boy around the streets of Paris.',
    title: 'The Red Balloon',
    year: 1956,
    score: 0.7147064805030823
  },
  {
    plot: 'This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...',
    title: 'Perri',
    year: 1957,
    score: 0.712087094783783
  }
]
```

The following query filters the documents for movies released between January 01, `1955` and January 01, `1975` before performing the semantic search against the sample vector data. It uses the [`$and`](https://www.mongodb.com/docs/manual/reference/operator/query/and/#mongodb-query-op.-and) operator to perform a logical `AND` operation of the specified dates. It then searches the `plot_embedding_voyage_3_large` field in the filtered documents for `150` nearest neighbors using the vector embeddings for the string *kids adventure*, and returns `10` documents in the results. The query also specifies a [`$project`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/project/#mongodb-pipeline-pipe.-project) stage to do the following:

- Exclude the `_id` field and include only `plot`, `title`, and `year` fields in the results.

- Add a field named `score` that shows the vector search score of the documents in the results.

```csharp
using System.Reflection.Emit;
using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;

public class vectorSearchFilterQuery
{
  // define connection to your Atlas cluster
  private const string MongoConnectionString = "<connection-string>";

  public static void Main(string[] args){
    var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
    ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);

    // connect to your Atlas cluster
    var mongoClient = new MongoClient(MongoConnectionString);

    // define namespace
    var moviesDatabase = mongoClient.GetDatabase("sample_mflix");
    var moviesCollection = moviesDatabase.GetCollection<EmbeddedMovie>("embedded_movies");

    // define vector embeddings to search
    var vector = new[] 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0.037876874,0.033142265,0.041607171,-0.011477841,0.031133642,-0.045050524,-0.003981376,-0.025394723,-0.031707536,0.024533885,0.032568373,0.028694602,-0.021090532,-0.019942747,0.054806691,-0.004483532,-0.020086221,-0.01599724,0.018651491,0.020373167,0.000504397,-0.007424728,-0.063702017,-0.014203828,0.030846696,-0.006599758,-0.027259871,-0.024103465,-0.020660114,-0.004985687,0.005559579,-0.034146577,-0.011549577,-0.00173961,0.008321434,0.007030177,-0.015638558};
    // define filter
    var yearGtFilter = Builders<EmbeddedMovie>.Filter.Gt("year", 1955);
    var yearLtFilter = Builders<EmbeddedMovie>.Filter.Lt("year", 1975);
    // define options
    var options = new VectorSearchOptions<EmbeddedMovie>() {
        Filter = Builders<EmbeddedMovie>.Filter.And(yearGtFilter, yearLtFilter),
        IndexName = "vector_index",
        NumberOfCandidates = 150
    };

    // run query
    var results = moviesCollection.Aggregate()
                .VectorSearch(m => m.Embedding, vector, 10, options)
                .Project(Builders<EmbeddedMovie>.Projection
                  .Include(m => m.Title)
                  .Include(movie => movie.Plot)
                  .Include(movie => movie.Year)
                  .MetaVectorSearchScore(m => m.Score))
                .ToList();

    // print results
    foreach (var movie in results)
      {
        Console.WriteLine(movie.ToJson());
      }
  }
}

[BsonIgnoreExtraElements]
public class EmbeddedMovie
{
    [BsonIgnoreIfDefault]
    public string Title { get; set; }
    public string Plot { get; set; }
    public int Year { get; set; }
    [BsonElement("plot_embedding_voyage_3_large")]
    public double[] Embedding { get; set; }
    public double Score { get; set; }
}
```

```js
{ "_id" : { "$oid" : "573a1396f29313caabce34d3" }, "plot" : "A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.", "title" : "Chitty Chitty Bang Bang", "year" : 1968, "score" : 0.74897128343582153 }
{ "_id" : { "$oid" : "573a1396f29313caabce5648" }, "plot" : "A pilot, stranded in the desert, meets a little boy who is a prince on a planet.", "title" : "The Little Prince", "year" : 1974, "score" : 0.73460787534713745 }
{ "_id" : { "$oid" : "573a1395f29313caabce1b8d" }, "plot" : "In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.", "title" : "In Search of the Castaways", "year" : 1962, "score" : 0.72815901041030884 }
{ "_id" : { "$oid" : "573a1396f29313caabce43e1" }, "plot" : "An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.", "title" : "Bedknobs and Broomsticks", "year" : 1971, "score" : 0.72034913301467896 }
{ "_id" : { "$oid" : "573a1396f29313caabce54e6" }, "plot" : "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", "title" : "Pastoral Hide and Seek", "year" : 1974, "score" : 0.71956634521484375 }
{ "_id" : { "$oid" : "573a1395f29313caabce143b" }, "plot" : "In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...", "title" : "Peter Pan", "year" : 1960, "score" : 0.71950322389602661 }
{ "_id" : { "$oid" : "573a1396f29313caabce49bf" }, "plot" : "When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...", "title" : "The Cowboys", "year" : 1972, "score" : 0.71795231103897095 }
{ "_id" : { "$oid" : "573a1394f29313caabce0951" }, "plot" : "When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.", "title" : "The 7th Voyage of Sinbad", "year" : 1958, "score" : 0.71480333805084229 }
{ "_id" : { "$oid" : "573a1394f29313caabce000d" }, "plot" : "A red balloon with a life of its own follows a little boy around the streets of Paris.", "title" : "The Red Balloon", "year" : 1956, "score" : 0.71470648050308228 }
{ "_id" : { "$oid" : "573a1394f29313caabce074d" }, "plot" : "This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...", "title" : "Perri", "year" : 1957, "score" : 0.71208715438842773 }
```

```go
package main

import (
	"context"
	"fmt"
	"log"

	"go.mongodb.org/mongo-driver/v2/bson"
	"go.mongodb.org/mongo-driver/v2/mongo"
	"go.mongodb.org/mongo-driver/v2/mongo/options"
)

func main() {
	ctx := context.Background()

	// Replace the placeholder with your Atlas connection string
	const uri = "<connection-string>"

	// Connect to your Atlas cluster
	clientOptions := options.Client().ApplyURI(uri)
	client, err := mongo.Connect(clientOptions)
	if err != nil {
		log.Fatalf("failed to connect to the server: %v", err)
	}
	defer func() { _ = client.Disconnect(ctx) }()

	// Set the namespace
	coll := client.Database("sample_mflix").Collection("embedded_movies")

	queryVector := [2048]float64{
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	}

	vectorSearchStage := bson.D{
		{"$vectorSearch", bson.D{
			{"index", "vector_index"},
			{"path", "plot_embedding_voyage_3_large"},
			{"filter", bson.D{{
				"$and", bson.A{
					bson.D{{"year", bson.D{{"$gt", 1955}}}},
					bson.D{{"year", bson.D{{"$lt", 1975}}}},
				},
			}}},
			{"queryVector", queryVector},
			{"numCandidates", 150},
			{"limit", 10},
		}}}

	projectStage := bson.D{
		{"$project", bson.D{
			{"_id", 0},
			{"plot", 1},
			{"title", 1},
			{"year", 1},
			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
		}}}

	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
	if err != nil {
		log.Fatalf("failed to retrieve data from the server: %v", err)
	}
	// display the results
	type ProjectedMovieResult struct {
		Title string  `bson:"title"`
		Plot  string  `bson:"plot"`
		Year  int32   `bson:"year"`
		Score float64 `bson:"score"`
	}

	var results []ProjectedMovieResult
	if err = cursor.All(ctx, &results); err != nil {
		log.Fatalf("failed to unmarshal retrieved docs to ProjectedMovieResult objects: %v", err)
	}
	for _, result := range results {
		fmt.Printf("Title: %v \nPlot: %v \nYear: %v \nScore: %v \n\n", result.Title, result.Plot, result.Year, result.Score)
	}
}

```

```shell
Title: Chitty Chitty Bang Bang
Plot: A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.
Year: 1968
Score: 0.7489712834358215

Title: The Little Prince
Plot: A pilot, stranded in the desert, meets a little boy who is a prince on a planet.
Year: 1974
Score: 0.7346078753471375

Title: In Search of the Castaways
Plot: In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.
Year: 1962
Score: 0.7281590104103088

Title: Bedknobs and Broomsticks
Plot: An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.
Year: 1971
Score: 0.720349133014679

Title: Pastoral Hide and Seek
Plot: A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.
Year: 1974
Score: 0.7195663452148438

Title: Peter Pan
Plot: In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...
Year: 1960
Score: 0.7195032238960266

Title: The Cowboys
Plot: When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...
Year: 1972
Score: 0.717952311038971

Title: The 7th Voyage of Sinbad
Plot: When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.
Year: 1958
Score: 0.7148033380508423

Title: The Red Balloon
Plot: A red balloon with a life of its own follows a little boy around the streets of Paris.
Year: 1956
Score: 0.7147064805030823

Title: Perri
Plot: This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...
Year: 1957
Score: 0.7120871543884277
```

```java
import static com.mongodb.client.model.Aggregates.*;
import static com.mongodb.client.model.Projections.*;
import static com.mongodb.client.model.search.SearchPath.fieldPath;
import static java.util.Arrays.asList;
import static com.mongodb.client.model.Filters.*;

import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import com.mongodb.client.model.search.FieldSearchPath;
import com.mongodb.client.model.search.VectorSearchOptions;
import org.bson.Document;
import org.bson.conversions.Bson;

import java.util.List;

public class FilterQuery {
    public static void main(String[] args) {
        // Specify connection URI
        String uri = "<connection-string>";

        // Establish connection and set namespace
        try (MongoClient mongoClient = MongoClients.create(uri)) {
            MongoDatabase database = mongoClient.getDatabase("sample_mflix");
            MongoCollection<Document> collection = database.getCollection("embedded_movies");

            // Parameters
            List<Double> queryVector = 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16761,0.037876874,0.033142265,0.041607171,-0.011477841,0.031133642,-0.045050524,-0.003981376,-0.025394723,-0.031707536,0.024533885,0.032568373,0.028694602,-0.021090532,-0.019942747,0.054806691,-0.004483532,-0.020086221,-0.01599724,0.018651491,0.020373167,0.000504397,-0.007424728,-0.063702017,-0.014203828,0.030846696,-0.006599758,-0.027259871,-0.024103465,-0.020660114,-0.004985687,0.005559579,-0.034146577,-0.011549577,-0.00173961,0.008321434,0.007030177,-0.015638558);
            String indexName = "vector_index";
            FieldSearchPath fieldSearchPath = fieldPath("plot_embedding_voyage_3_large");
            long numCandidates = 150;
            long limit = 10;

            // Define filter criteria
            Bson criteria = and(gt("year", 1955), lt("year", 1975));

            // Create VectorSearchOptions
            VectorSearchOptions options = VectorSearchOptions.approximateVectorSearchOptions(numCandidates)
                .filter(criteria);

            // Define the pipeline
            List<Bson> pipeline = asList(
                vectorSearch(
                    fieldSearchPath,
                    queryVector,
                    indexName,
                    limit,
                    options
                ),
                project(
                    fields(
                        exclude("_id"),
                        include("title"),
                        include("plot"),
                        include("year"),
                        metaVectorSearchScore("score")
                    )
                )
            );

            // Run query and print results
            collection.aggregate(pipeline).forEach(doc -> System.out.println(doc.toJson()));
        }
    }
}
```

```js
{"plot": "A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.", "title": "Chitty Chitty Bang Bang", "year": 1968, "score": 0.7489712834358215}
{"plot": "A pilot, stranded in the desert, meets a little boy who is a prince on a planet.", "title": "The Little Prince", "year": 1974, "score": 0.7346078753471375}
{"plot": "In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.", "title": "In Search of the Castaways", "year": 1962, "score": 0.7281590104103088}
{"plot": "An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.", "title": "Bedknobs and Broomsticks", "year": 1971, "score": 0.720349133014679}
{"plot": "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", "title": "Pastoral Hide and Seek", "year": 1974, "score": 0.7195663452148438}
{"plot": "In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...", "title": "Peter Pan", "year": 1960, "score": 0.7195032238960266}
{"plot": "When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...", "title": "The Cowboys", "year": 1972, "score": 0.717952311038971}
{"plot": "When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.", "title": "The 7th Voyage of Sinbad", "year": 1958, "score": 0.7148033380508423}
{"plot": "A red balloon with a life of its own follows a little boy around the streets of Paris.", "title": "The Red Balloon", "year": 1956, "score": 0.7147064805030823}
{"plot": "This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...", "title": "Perri", "year": 1957, "score": 0.7120871543884277}
```

```js
const { MongoClient } = require("mongodb");

// connect to your Atlas cluster
const uri = "<connection-string>";

const client = new MongoClient(uri);

async function run() {
  try {
    await client.connect();

    // set namespace
    const database = client.db("sample_mflix");
    const coll = database.collection("embedded_movies");

    // define pipeline
    const agg = [
      {
        '$vectorSearch': {
          'index': 'vector_index',
          'path': 'plot_embedding_voyage_3_large',
          'filter': {
            '$and': [
              {
                'year': {
                  '$gt': 1955
                }
              },
              {
                'year': {
                  '$lt': 1975
                }
              }
            ]
          },
          'queryVector': 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0.037876874,0.033142265,0.041607171,-0.011477841,0.031133642,-0.045050524,-0.003981376,-0.025394723,-0.031707536,0.024533885,0.032568373,0.028694602,-0.021090532,-0.019942747,0.054806691,-0.004483532,-0.020086221,-0.01599724,0.018651491,0.020373167,0.000504397,-0.007424728,-0.063702017,-0.014203828,0.030846696,-0.006599758,-0.027259871,-0.024103465,-0.020660114,-0.004985687,0.005559579,-0.034146577,-0.011549577,-0.00173961,0.008321434,0.007030177,-0.015638558],
          'numCandidates': 150,
          'limit': 10
        }
      }, {
        '$project': {
          '_id': 0,
          'title': 1,
          'plot': 1,
          'year': 1,
          'score': {
            '$meta': 'vectorSearchScore'
          }
        }
      }
    ];
  // run pipeline
  const result = coll.aggregate(agg);

  // print results
    await result.forEach((doc) => console.dir(JSON.stringify(doc)));
  } finally {
    await client.close();
  }
}
run().catch(console.dir);

```

```js
'{"plot":"A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.","title":"Chitty Chitty Bang Bang","year":1968,"score":0.7492260932922363}'
'{"plot":"A pilot, stranded in the desert, meets a little boy who is a prince on a planet.","title":"The Little Prince","year":1974,"score":0.734635591506958}'
'{"plot":"In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.","title":"In Search of the Castaways","year":1962,"score":0.7282257080078125}'
'{"plot":"An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.","title":"Bedknobs and Broomsticks","year":1971,"score":0.7203655242919922}'
`{"plot":"A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.","title":"Pastoral Hide and Seek","year":1974,"score":0.7198004722595215}`
'{"plot":"In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...","title":"Peter Pan","year":1960,"score":0.7196557521820068}'
'{"plot":"When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...","title":"The Cowboys","year":1972,"score":0.7186427116394043}'
'{"plot":"When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.","title":"The 7th Voyage of Sinbad","year":1958,"score":0.7148654460906982}'
'{"plot":"A red balloon with a life of its own follows a little boy around the streets of Paris.","title":"The Red Balloon","year":1956,"score":0.7147994041442871}'
'{"plot":"This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...","title":"Perri","year":1957,"score":0.712277889251709}'
```

Work with a runnable version of this example as a [Python notebook](https://github.com/mongodb/docs-notebooks/blob/main/run-queries/ann-filter.ipynb).

```python
import pymongo

# connect to your Atlas cluster
client = pymongo.MongoClient("<connection-string>")

# define pipeline
pipeline = [
  {
    '$vectorSearch': {
      'index': 'vector_index',
      'path': 'plot_embedding_voyage_3_large',
      'filter': {
        '$and': [
          {
            'year': {
              '$gt': 1955
            }
          },
          {
            'year': {
              '$lt': 1975
            }
          }
        ]
      },
      'queryVector': 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0.037876874,0.033142265,0.041607171,-0.011477841,0.031133642,-0.045050524,-0.003981376,-0.025394723,-0.031707536,0.024533885,0.032568373,0.028694602,-0.021090532,-0.019942747,0.054806691,-0.004483532,-0.020086221,-0.01599724,0.018651491,0.020373167,0.000504397,-0.007424728,-0.063702017,-0.014203828,0.030846696,-0.006599758,-0.027259871,-0.024103465,-0.020660114,-0.004985687,0.005559579,-0.034146577,-0.011549577,-0.00173961,0.008321434,0.007030177,-0.015638558],
      'numCandidates': 150,
      'limit': 10
    }
  }, {
    '$project': {
      '_id': 0,
      'title': 1,
      'plot': 1,
      'year': 1,
      'score': {
        '$meta': 'vectorSearchScore'
      }
    }
  }
]

# run pipeline
result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)

# print results
for i in result:
    print(i)

```

```js
{'plot': 'A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.', 'title': 'Chitty Chitty Bang Bang', 'year': 1968, 'score': 0.7492260932922363}
{'plot': 'A pilot, stranded in the desert, meets a little boy who is a prince on a planet.', 'title': 'The Little Prince', 'year': 1974, 'score': 0.734635591506958}
{'plot': 'In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.', 'title': 'In Search of the Castaways', 'year': 1962, 'score': 0.7282257080078125}
{'plot': 'An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.', 'title': 'Bedknobs and Broomsticks', 'year': 1971, 'score': 0.7203655242919922}
{'plot': "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", 'title': 'Pastoral Hide and Seek', 'year': 1974, 'score': 0.7198004722595215}
{'plot': 'In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...', 'title': 'Peter Pan', 'year': 1960, 'score': 0.7196557521820068}
{'plot': 'When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...', 'title': 'The Cowboys', 'year': 1972, 'score': 0.7186427116394043}
{'plot': 'When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.', 'title': 'The 7th Voyage of Sinbad', 'year': 1958, 'score': 0.7148654460906982}
{'plot': 'A red balloon with a life of its own follows a little boy around the streets of Paris.', 'title': 'The Red Balloon', 'year': 1956, 'score': 0.7147994041442871}
{'plot': 'This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...', 'title': 'Perri', 'year': 1957, 'score': 0.712277889251709}
```

```json
db.movies.aggregate([
  {
    "$vectorSearch": {
      "index": "vector_index",
      "path": "fullplot",
      "filter": {
        "$and": [
          {
            "year": {  "$gte": 1980  }
          },
          {
            "year": {  "$lt": 2020 }
          },
          {
            'genres': {
              '$in': ['Action', 'Adventure', 'Family']
            }
          }
        ]
      },
      "query": {
        "text": "epic fantasy journey with reluctant heroes"
      },
      'model': 'voyage-4',
      "numCandidates": 100,
      "limit": 10
    }
  },
  {
    "$project": {
      "_id": 0,
      "title": 1,
      "fullplot": 1,
      "year": 1,
      "genres": 1,
      "score": {"$meta": "vectorSearchScore"}
    }
  }
])
```

```js
[
  {
    genres: [ 'Adventure', 'Comedy', 'Fantasy' ],
    title: 'Your Highness',
    fullplot: "Throughout history, tales of chivalry have burnished the legends of brave, handsome knights who rescue fair damsels, slay dragons and conquer evil. But behind many a hero is a good-for-nothing younger brother trying just to stay out of the way of those dragons, evil and trouble in general. As two princes on a daring mission to save their land, they must rescue the heir apparent's fiancèe before their kingdom is destroyed. Thadeous (McBride) has spent his life watching his perfect older brother Fabious (Franco) embark upon valiant journeys and win the hearts of his people. Tired of being passed over for adventure, adoration and the throne, he's settled for a life of wizard's weed, hard booze and easy maidens. But when Fabious' bride-to-be, Belladonna (Zooey Deschanel), gets kidnapped by the evil wizard Leezar (Justin Theroux), the king gives his deadbeat son an ultimatum: Man up and help rescue her or get cut off. Half-assedly embarking upon his first quest, Thadeous joins Fabious to trek across the perilous outlands and free the princess. Joined by Isabel (Natalie Portman)-an elusive warrior with a dangerous agenda of her own-the brothers must vanquish horrific creatures and traitorous knights before they can reach Belladonna. If Thadeous can find his inner hero, he can help his brother prevent the destruction of his land. Stay a slacker, and not only does he die a coward, he gets front row seats to the dawn of an all-new Dark Ages.",
    year: 2011,
    score: 0.7478892803192139
  },
  {
    genres: [ 'Animation', 'Adventure', 'Family' ],
    title: 'Justin and the Knights of Valour',
    fullplot: 'Justin lives in a kingdom where bureaucrats rule and knights have been ousted. His dream is to be become one of the Knights of Valour, like his grandfather was, but his father Reginald, the chief counsel to the Queen, wants his son to follow in his footsteps and become a lawyer. After an inspiring visit to his beloved Grandmother and bidding farewell to his supposed lady-love Lara, Justin leaves home and embarks on a quest to become a knight. Along the way he meets the beautiful, feisty Talia, a quirky wizard called Melquiades, and the handsome Sir Clorex and is mentored by three monks; Blucher, Legantir and Braulio, who teach and test him in the ancient ways of the Knights of Valour. Whilst an unlikely candidate for knighthood, Justin must rise to the challenge quickly when banished former knight Sir Heraclio and his army, lead by Sota, return and threaten to destroy the Kingdom.',
    year: 2013,
    score: 0.7298496961593628
  },
  {
    genres: [ 'Action', 'Adventure', 'Fantasy' ],
    title: 'Mythica: A Quest for Heroes',
    fullplot: "Stuck in a life of indentured servitude, Marek dreams of becoming a wizard. When she meets a beautiful priestess, Teela, in need of help, Marek escapes her master and puts together a team of adventurers and embarks on an epic quest to free Teela's sister from a vicious ogre.",
    year: 2014,
    score: 0.7232394218444824
  },
  {
    genres: [ 'Animation', 'Adventure', 'Comedy' ],
    title: 'Ronal the Barbarian',
    fullplot: "Fantasy comedy about young Ronal who lives in a barbarian village. Ronal is weak, skinny and doesn't have the usual barbarian traits like everyone else and therefore is considered a laughing stock. But one day his village gets attacked, his tribe kidnapped by the evil Volcazar. Ronal decides to save his tribe and defeat Volcazar and on his way he must survive many dangerous situations...",
    year: 2011,
    score: 0.7141464948654175
  },
  {
    fullplot: "The tale of three unlikely heroes - a misfit mouse who prefers reading books to eating them, an unhappy rat who schemes to leave the darkness of the dungeon, and a bumbling servant girl with cauliflower ears - whose fates are intertwined with that of the castle's princess.",
    year: 2008,
    genres: [ 'Adventure', 'Animation', 'Comedy' ],
    title: 'The Tale of Despereaux',
    score: 0.7140729427337646
  },
  {
    genres: [ 'Action', 'Adventure', 'Comedy' ],
    title: 'Dungeons & Dragons',
    fullplot: "The Empire of Izmer has long been a divided land. The Mages - an elite group of magic-users - rule whilst the lowly commoners are powerless. Izmer's young Empress, Savina, wants equality and prosperity for all, but the evil Mage Profion is plotting to depose her and establish his own rule. The Empress possesses a scepter which controls Izmer's Golden Dragons. To challenge her rule, Profion must have the scepter, and tricks the Council of Mages into believing Savina is unfit to hold it. Knowing that Profion will bring death and destruction to Izmer, Savina must find the legendary Rod of Savrille, a mythical rod that has the power to control Red Dragons, a species even mightier than the Gold. Enter two thieves, Ridley and Snails, who unwittingly become instrumental in Savina's search for the Rod. Joined by a feisty Dwarf named Elwood, and helped by the Empress's expert tracker, the Elf Norda, the young heroes go in search of the Rod of Savrille. From the deadly maze of the Thieves Guild at Antius to an Elven Village, secret grotto and abandoned castles, Ridley and his band must outwit Profion's chief henchman Damodar at every turn while, back in Izmer, Profion prepares to do battle with the Empress. All depends on the Rod, but the outcome of the race to reach it first is far from certain, and Izmar's very survival hangs in the balance.",
    year: 2000,
    score: 0.7134140729904175
  },
  {
    genres: [ 'Animation', 'Adventure', 'Family' ],
    title: 'Dragon Hunters',
    fullplot: "The world has become a vast conglomerate of islands of varying size and shape. This babbling universe is mainly populated with ruthless rogues, surly peasants and illiterate, petty lords. Their main concerns revolve around two fundamental rules: Eat and don't get eaten. For this new world has become infested with a terrible plague: omnipresent, monstrously famished, mutant creatures, are wreaking havoc - They are known as the Dragons. Gwizdo and Lian-Chu are two dragon hunters, but are a long way from being among the best. Their only real talents: the size of the hulking brute with the heart of gold, Lian-Chu, and Gwizdo's talent for scams of all and any shape or form. Their sole ambition: to buy a little farm where they can relax and raise mussels, a creature that is a lot less unpleasant and difficult to hunt down than dragons. A few islands away rises the fortress of Lord Arnold. Arnold has a problem: he's living in terror at the thought of the return of World Eater, that horrible dragon that returns every thirty seasons to spread terror and destruction. Nobody has been able to conquer him. In fact nobody's ever returned alive to spread the news of how the fight went. Zoe, the grand-niece of the lord, has decided to take matters in hand, and has met Gwizdo and Lian-Chu. Persuaded that she has found the heroes of her dreams, she is going to drag them into the maddest of adventures.",
    year: 2008,
    score: 0.7066938877105713
  },
  {
    genres: [ 'Animation', 'Adventure', 'Family' ],
    title: 'Dragon Hunters',
    fullplot: "The world has become a vast conglomerate of islands of varying size and shape. This babbling universe is mainly populated with ruthless rogues, surly peasants and illiterate, petty lords. Their main concerns revolve around two fundamental rules: Eat and don't get eaten. For this new world has become infested with a terrible plague: omnipresent, monstrously famished, mutant creatures, are wreaking havoc - They are known as the Dragons. Gwizdo and Lian-Chu are two dragon hunters, but are a long way from being among the best. Their only real talents: the size of the hulking brute with the heart of gold, Lian-Chu, and Gwizdo's talent for scams of all and any shape or form. Their sole ambition: to buy a little farm where they can relax and raise mussels, a creature that is a lot less unpleasant and difficult to hunt down than dragons. A few islands away rises the fortress of Lord Arnold. Arnold has a problem: he's living in terror at the thought of the return of World Eater, that horrible dragon that returns every thirty seasons to spread terror and destruction. Nobody has been able to conquer him. In fact nobody's ever returned alive to spread the news of how the fight went. Zoe, the grand-niece of the lord, has decided to take matters in hand, and has met Gwizdo and Lian-Chu. Persuaded that she has found the heroes of her dreams, she is going to drag them into the maddest of adventures.",
    year: 2008,
    score: 0.7066938877105713
  },
  {
    genres: [ 'Adventure', 'Fantasy' ],
    title: 'The Hobbit: An Unexpected Journey',
    fullplot: `Bilbo Baggins is swept into a quest to reclaim the lost Dwarf Kingdom of Erebor from the fearsome dragon Smaug. Approached out of the blue by the wizard Gandalf the Grey, Bilbo finds himself joining a company of thirteen dwarves led by the legendary warrior, Thorin Oakenshield. Their journey will take them into the Wild; through treacherous lands swarming with Goblins and Orcs, deadly Wargs and Giant Spiders, Shapeshifters and Sorcerers. Although their goal lies to the East and the wastelands of the Lonely Mountain first they must escape the goblin tunnels, where Bilbo meets the creature that will change his life forever ... Gollum. Here, alone with Gollum, on the shores of an underground lake, the unassuming Bilbo Baggins not only discovers depths of guile and courage that surprise even him, he also gains possession of Gollum's "precious" ring that holds unexpected and useful qualities ... A simple, gold ring that is tied to the fate of all Middle-earth in ways Bilbo cannot begin to know.`,
    year: 2012,
    score: 0.7053802609443665
  },
  {
    genres: [ 'Adventure', 'Drama', 'Family' ],
    title: 'Mio in the Land of Faraway',
    fullplot: 'A fantasy about the lonely boy who is transferred from his dull life with his adoptive parents to the land where his real father is the king. In that country he sets out on a quest, together with his new friend, to destroy the evil Knight Kato.',
    year: 1987,
    score: 0.7041671276092529
  }
]
```

```js
const { MongoClient } = require("mongodb");

// connect to your Atlas cluster
const uri = "<connection-string>";

const client = new MongoClient(uri);

async function run() {
  try {
    await client.connect();

    // set namespace
    const database = client.db("sample_mflix");
    const coll = database.collection("movies");

    // define pipeline
    const agg = [
      {
        '$vectorSearch': {
          'index': 'vector_index',
          'path': 'fullplot',
          'filter': {
            '$and': [
              {
                'year': {
                  '$gt': 1980
                }
              },
              {
                'year': {
                  '$lt': 2020
                }
              },
              {
                'genres': {
                  '$in': ['Action', 'Adventure', 'Family']
                }
              }
            ]
          },
          'query': {
            "text": "epic fantasy journey with reluctant heroes"
          },
          'model': 'voyage-4',
          'numCandidates': 100,
          'limit': 10
        }
      }, {
        '$project': {
          '_id': 0,
          'title': 1,
          'fullplot': 1,
          'year': 1,
          'genres': 1,
          'score': {
            '$meta': 'vectorSearchScore'
          }
        }
      }
    ];
  // run pipeline
  const result = coll.aggregate(agg);

  // print results
    await result.forEach((doc) => console.dir(JSON.stringify(doc)));
  } finally {
    await client.close();
  }
}
run().catch(console.dir);

```

```js
`{"genres":["Adventure","Comedy","Fantasy"],"title":"Your Highness","fullplot":"Throughout history, tales of chivalry have burnished the legends of brave, handsome knights who rescue fair damsels, slay dragons and conquer evil. But behind many a hero is a good-for-nothing younger brother trying just to stay out of the way of those dragons, evil and trouble in general. As two princes on a daring mission to save their land, they must rescue the heir apparent's fiancèe before their kingdom is destroyed. Thadeous (McBride) has spent his life watching his perfect older brother Fabious (Franco) embark upon valiant journeys and win the hearts of his people. Tired of being passed over for adventure, adoration and the throne, he's settled for a life of wizard's weed, hard booze and easy maidens. But when Fabious' bride-to-be, Belladonna (Zooey Deschanel), gets kidnapped by the evil wizard Leezar (Justin Theroux), the king gives his deadbeat son an ultimatum: Man up and help rescue her or get cut off. Half-assedly embarking upon his first quest, Thadeous joins Fabious to trek across the perilous outlands and free the princess. Joined by Isabel (Natalie Portman)-an elusive warrior with a dangerous agenda of her own-the brothers must vanquish horrific creatures and traitorous knights before they can reach Belladonna. If Thadeous can find his inner hero, he can help his brother prevent the destruction of his land. Stay a slacker, and not only does he die a coward, he gets front row seats to the dawn of an all-new Dark Ages.","year":2011,"score":0.7478892803192139}`
'{"genres":["Animation","Adventure","Family"],"title":"Justin and the Knights of Valour","fullplot":"Justin lives in a kingdom where bureaucrats rule and knights have been ousted. His dream is to be become one of the Knights of Valour, like his grandfather was, but his father Reginald, the chief counsel to the Queen, wants his son to follow in his footsteps and become a lawyer. After an inspiring visit to his beloved Grandmother and bidding farewell to his supposed lady-love Lara, Justin leaves home and embarks on a quest to become a knight. Along the way he meets the beautiful, feisty Talia, a quirky wizard called Melquiades, and the handsome Sir Clorex and is mentored by three monks; Blucher, Legantir and Braulio, who teach and test him in the ancient ways of the Knights of Valour. Whilst an unlikely candidate for knighthood, Justin must rise to the challenge quickly when banished former knight Sir Heraclio and his army, lead by Sota, return and threaten to destroy the Kingdom.","year":2013,"score":0.7298496961593628}'
`{"genres":["Action","Adventure","Fantasy"],"title":"Mythica: A Quest for Heroes","fullplot":"Stuck in a life of indentured servitude, Marek dreams of becoming a wizard. When she meets a beautiful priestess, Teela, in need of help, Marek escapes her master and puts together a team of adventurers and embarks on an epic quest to free Teela's sister from a vicious ogre.","year":2014,"score":0.7232394218444824}`
`{"genres":["Animation","Adventure","Comedy"],"title":"Ronal the Barbarian","fullplot":"Fantasy comedy about young Ronal who lives in a barbarian village. Ronal is weak, skinny and doesn't have the usual barbarian traits like everyone else and therefore is considered a laughing stock. But one day his village gets attacked, his tribe kidnapped by the evil Volcazar. Ronal decides to save his tribe and defeat Volcazar and on his way he must survive many dangerous situations...","year":2011,"score":0.7141464948654175}`
`{"fullplot":"The tale of three unlikely heroes - a misfit mouse who prefers reading books to eating them, an unhappy rat who schemes to leave the darkness of the dungeon, and a bumbling servant girl with cauliflower ears - whose fates are intertwined with that of the castle's princess.","year":2008,"genres":["Adventure","Animation","Comedy"],"title":"The Tale of Despereaux","score":0.7140729427337646}`
`{"genres":["Action","Adventure","Comedy"],"title":"Dungeons & Dragons","fullplot":"The Empire of Izmer has long been a divided land. The Mages - an elite group of magic-users - rule whilst the lowly commoners are powerless. Izmer's young Empress, Savina, wants equality and prosperity for all, but the evil Mage Profion is plotting to depose her and establish his own rule. The Empress possesses a scepter which controls Izmer's Golden Dragons. To challenge her rule, Profion must have the scepter, and tricks the Council of Mages into believing Savina is unfit to hold it. Knowing that Profion will bring death and destruction to Izmer, Savina must find the legendary Rod of Savrille, a mythical rod that has the power to control Red Dragons, a species even mightier than the Gold. Enter two thieves, Ridley and Snails, who unwittingly become instrumental in Savina's search for the Rod. Joined by a feisty Dwarf named Elwood, and helped by the Empress's expert tracker, the Elf Norda, the young heroes go in search of the Rod of Savrille. From the deadly maze of the Thieves Guild at Antius to an Elven Village, secret grotto and abandoned castles, Ridley and his band must outwit Profion's chief henchman Damodar at every turn while, back in Izmer, Profion prepares to do battle with the Empress. All depends on the Rod, but the outcome of the race to reach it first is far from certain, and Izmar's very survival hangs in the balance.","year":2000,"score":0.7134140729904175}`
`{"genres":["Animation","Adventure","Family"],"title":"Dragon Hunters","fullplot":"The world has become a vast conglomerate of islands of varying size and shape. This babbling universe is mainly populated with ruthless rogues, surly peasants and illiterate, petty lords. Their main concerns revolve around two fundamental rules: Eat and don't get eaten. For this new world has become infested with a terrible plague: omnipresent, monstrously famished, mutant creatures, are wreaking havoc - They are known as the Dragons. Gwizdo and Lian-Chu are two dragon hunters, but are a long way from being among the best. Their only real talents: the size of the hulking brute with the heart of gold, Lian-Chu, and Gwizdo's talent for scams of all and any shape or form. Their sole ambition: to buy a little farm where they can relax and raise mussels, a creature that is a lot less unpleasant and difficult to hunt down than dragons. A few islands away rises the fortress of Lord Arnold. Arnold has a problem: he's living in terror at the thought of the return of World Eater, that horrible dragon that returns every thirty seasons to spread terror and destruction. Nobody has been able to conquer him. In fact nobody's ever returned alive to spread the news of how the fight went. Zoe, the grand-niece of the lord, has decided to take matters in hand, and has met Gwizdo and Lian-Chu. Persuaded that she has found the heroes of her dreams, she is going to drag them into the maddest of adventures.","year":2008,"score":0.7066938877105713}`
`{"genres":["Animation","Adventure","Family"],"title":"Dragon Hunters","fullplot":"The world has become a vast conglomerate of islands of varying size and shape. This babbling universe is mainly populated with ruthless rogues, surly peasants and illiterate, petty lords. Their main concerns revolve around two fundamental rules: Eat and don't get eaten. For this new world has become infested with a terrible plague: omnipresent, monstrously famished, mutant creatures, are wreaking havoc - They are known as the Dragons. Gwizdo and Lian-Chu are two dragon hunters, but are a long way from being among the best. Their only real talents: the size of the hulking brute with the heart of gold, Lian-Chu, and Gwizdo's talent for scams of all and any shape or form. Their sole ambition: to buy a little farm where they can relax and raise mussels, a creature that is a lot less unpleasant and difficult to hunt down than dragons. A few islands away rises the fortress of Lord Arnold. Arnold has a problem: he's living in terror at the thought of the return of World Eater, that horrible dragon that returns every thirty seasons to spread terror and destruction. Nobody has been able to conquer him. In fact nobody's ever returned alive to spread the news of how the fight went. Zoe, the grand-niece of the lord, has decided to take matters in hand, and has met Gwizdo and Lian-Chu. Persuaded that she has found the heroes of her dreams, she is going to drag them into the maddest of adventures.","year":2008,"score":0.7066938877105713}`
`{"genres":["Adventure","Fantasy"],"title":"The Hobbit: An Unexpected Journey","fullplot":"Bilbo Baggins is swept into a quest to reclaim the lost Dwarf Kingdom of Erebor from the fearsome dragon Smaug. Approached out of the blue by the wizard Gandalf the Grey, Bilbo finds himself joining a company of thirteen dwarves led by the legendary warrior, Thorin Oakenshield. Their journey will take them into the Wild; through treacherous lands swarming with Goblins and Orcs, deadly Wargs and Giant Spiders, Shapeshifters and Sorcerers. Although their goal lies to the East and the wastelands of the Lonely Mountain first they must escape the goblin tunnels, where Bilbo meets the creature that will change his life forever ... Gollum. Here, alone with Gollum, on the shores of an underground lake, the unassuming Bilbo Baggins not only discovers depths of guile and courage that surprise even him, he also gains possession of Gollum's \\"precious\\" ring that holds unexpected and useful qualities ... A simple, gold ring that is tied to the fate of all Middle-earth in ways Bilbo cannot begin to know.","year":2012,"score":0.7053802609443665}`
'{"genres":["Adventure","Drama","Family"],"title":"Mio in the Land of Faraway","fullplot":"A fantasy about the lonely boy who is transferred from his dull life with his adoptive parents to the land where his real father is the king. In that country he sets out on a quest, together with his new friend, to destroy the evil Knight Kato.","year":1987,"score":0.7041671276092529}'
```

```python
import pymongo

# connect to your Atlas cluster
client = pymongo.MongoClient("<connection-string>")

# define pipeline
pipeline = [
  {
    '$vectorSearch': {
      'index': 'vector_index',
      'path': 'fullplot',
      'filter': {
        '$and': [
          {
            'year': {
              '$gt': 1980
            }
          },
          {
            'year': {
              '$lt': 2020
            }
          },
          {
            'genres': {
              '$in': ['Action', 'Adventure', 'Family']
            }
          }
        ]
      },
      'query': {
        'text': 'epic fantasy journey with reluctant heroes'
      },
      'model': 'voyage-4',
      'numCandidates': 100,
      'limit': 10
    }
  }, {
    '$project': {
      '_id': 0,
      'title': 1,
      'fullplot': 1,
      'year': 1,
      'genres': 1,
      'score': {
        '$meta': 'vectorSearchScore'
      }
    }
  }
]

# run pipeline
result = client["sample_mflix"]["movies"].aggregate(pipeline)

# print results
for i in result:
    print(i)

```

```js
{'genres': ['Adventure', 'Comedy', 'Fantasy'], 'title': 'Your Highness', 'fullplot': "Throughout history, tales of chivalry have burnished the legends of brave, handsome knights who rescue fair damsels, slay dragons and conquer evil. But behind many a hero is a good-for-nothing younger brother trying just to stay out of the way of those dragons, evil and trouble in general. As two princes on a daring mission to save their land, they must rescue the heir apparent's fiancèe before their kingdom is destroyed. Thadeous (McBride) has spent his life watching his perfect older brother Fabious (Franco) embark upon valiant journeys and win the hearts of his people. Tired of being passed over for adventure, adoration and the throne, he's settled for a life of wizard's weed, hard booze and easy maidens. But when Fabious' bride-to-be, Belladonna (Zooey Deschanel), gets kidnapped by the evil wizard Leezar (Justin Theroux), the king gives his deadbeat son an ultimatum: Man up and help rescue her or get cut off. Half-assedly embarking upon his first quest, Thadeous joins Fabious to trek across the perilous outlands and free the princess. Joined by Isabel (Natalie Portman)-an elusive warrior with a dangerous agenda of her own-the brothers must vanquish horrific creatures and traitorous knights before they can reach Belladonna. If Thadeous can find his inner hero, he can help his brother prevent the destruction of his land. Stay a slacker, and not only does he die a coward, he gets front row seats to the dawn of an all-new Dark Ages.", 'year': 2011, 'score': 0.7478892803192139}
{'genres': ['Animation', 'Adventure', 'Family'], 'title': 'Justin and the Knights of Valour', 'fullplot': 'Justin lives in a kingdom where bureaucrats rule and knights have been ousted. His dream is to be become one of the Knights of Valour, like his grandfather was, but his father Reginald, the chief counsel to the Queen, wants his son to follow in his footsteps and become a lawyer. After an inspiring visit to his beloved Grandmother and bidding farewell to his supposed lady-love Lara, Justin leaves home and embarks on a quest to become a knight. Along the way he meets the beautiful, feisty Talia, a quirky wizard called Melquiades, and the handsome Sir Clorex and is mentored by three monks; Blucher, Legantir and Braulio, who teach and test him in the ancient ways of the Knights of Valour. Whilst an unlikely candidate for knighthood, Justin must rise to the challenge quickly when banished former knight Sir Heraclio and his army, lead by Sota, return and threaten to destroy the Kingdom.', 'year': 2013, 'score': 0.7298496961593628}
{'genres': ['Action', 'Adventure', 'Fantasy'], 'title': 'Mythica: A Quest for Heroes', 'fullplot': "Stuck in a life of indentured servitude, Marek dreams of becoming a wizard. When she meets a beautiful priestess, Teela, in need of help, Marek escapes her master and puts together a team of adventurers and embarks on an epic quest to free Teela's sister from a vicious ogre.", 'year': 2014, 'score': 0.7232394218444824}
{'genres': ['Animation', 'Adventure', 'Comedy'], 'title': 'Ronal the Barbarian', 'fullplot': "Fantasy comedy about young Ronal who lives in a barbarian village. Ronal is weak, skinny and doesn't have the usual barbarian traits like everyone else and therefore is considered a laughing stock. But one day his village gets attacked, his tribe kidnapped by the evil Volcazar. Ronal decides to save his tribe and defeat Volcazar and on his way he must survive many dangerous situations...", 'year': 2011, 'score': 0.7141464948654175}
{'fullplot': "The tale of three unlikely heroes - a misfit mouse who prefers reading books to eating them, an unhappy rat who schemes to leave the darkness of the dungeon, and a bumbling servant girl with cauliflower ears - whose fates are intertwined with that of the castle's princess.", 'year': 2008, 'genres': ['Adventure', 'Animation', 'Comedy'], 'title': 'The Tale of Despereaux', 'score': 0.7140729427337646}
{'genres': ['Action', 'Adventure', 'Comedy'], 'title': 'Dungeons & Dragons', 'fullplot': "The Empire of Izmer has long been a divided land. The Mages - an elite group of magic-users - rule whilst the lowly commoners are powerless. Izmer's young Empress, Savina, wants equality and prosperity for all, but the evil Mage Profion is plotting to depose her and establish his own rule. The Empress possesses a scepter which controls Izmer's Golden Dragons. To challenge her rule, Profion must have the scepter, and tricks the Council of Mages into believing Savina is unfit to hold it. Knowing that Profion will bring death and destruction to Izmer, Savina must find the legendary Rod of Savrille, a mythical rod that has the power to control Red Dragons, a species even mightier than the Gold. Enter two thieves, Ridley and Snails, who unwittingly become instrumental in Savina's search for the Rod. Joined by a feisty Dwarf named Elwood, and helped by the Empress's expert tracker, the Elf Norda, the young heroes go in search of the Rod of Savrille. From the deadly maze of the Thieves Guild at Antius to an Elven Village, secret grotto and abandoned castles, Ridley and his band must outwit Profion's chief henchman Damodar at every turn while, back in Izmer, Profion prepares to do battle with the Empress. All depends on the Rod, but the outcome of the race to reach it first is far from certain, and Izmar's very survival hangs in the balance.", 'year': 2000, 'score': 0.7134140729904175}
{'genres': ['Animation', 'Adventure', 'Family'], 'title': 'Dragon Hunters', 'fullplot': "The world has become a vast conglomerate of islands of varying size and shape. This babbling universe is mainly populated with ruthless rogues, surly peasants and illiterate, petty lords. Their main concerns revolve around two fundamental rules: Eat and don't get eaten. For this new world has become infested with a terrible plague: omnipresent, monstrously famished, mutant creatures, are wreaking havoc - They are known as the Dragons. Gwizdo and Lian-Chu are two dragon hunters, but are a long way from being among the best. Their only real talents: the size of the hulking brute with the heart of gold, Lian-Chu, and Gwizdo's talent for scams of all and any shape or form. Their sole ambition: to buy a little farm where they can relax and raise mussels, a creature that is a lot less unpleasant and difficult to hunt down than dragons. A few islands away rises the fortress of Lord Arnold. Arnold has a problem: he's living in terror at the thought of the return of World Eater, that horrible dragon that returns every thirty seasons to spread terror and destruction. Nobody has been able to conquer him. In fact nobody's ever returned alive to spread the news of how the fight went. Zoe, the grand-niece of the lord, has decided to take matters in hand, and has met Gwizdo and Lian-Chu. Persuaded that she has found the heroes of her dreams, she is going to drag them into the maddest of adventures.", 'year': 2008, 'score': 0.7066938877105713}
{'genres': ['Animation', 'Adventure', 'Family'], 'title': 'Dragon Hunters', 'fullplot': "The world has become a vast conglomerate of islands of varying size and shape. This babbling universe is mainly populated with ruthless rogues, surly peasants and illiterate, petty lords. Their main concerns revolve around two fundamental rules: Eat and don't get eaten. For this new world has become infested with a terrible plague: omnipresent, monstrously famished, mutant creatures, are wreaking havoc - They are known as the Dragons. Gwizdo and Lian-Chu are two dragon hunters, but are a long way from being among the best. Their only real talents: the size of the hulking brute with the heart of gold, Lian-Chu, and Gwizdo's talent for scams of all and any shape or form. Their sole ambition: to buy a little farm where they can relax and raise mussels, a creature that is a lot less unpleasant and difficult to hunt down than dragons. A few islands away rises the fortress of Lord Arnold. Arnold has a problem: he's living in terror at the thought of the return of World Eater, that horrible dragon that returns every thirty seasons to spread terror and destruction. Nobody has been able to conquer him. In fact nobody's ever returned alive to spread the news of how the fight went. Zoe, the grand-niece of the lord, has decided to take matters in hand, and has met Gwizdo and Lian-Chu. Persuaded that she has found the heroes of her dreams, she is going to drag them into the maddest of adventures.", 'year': 2008, 'score': 0.7066938877105713}
{'genres': ['Adventure', 'Fantasy'], 'title': 'The Hobbit: An Unexpected Journey', 'fullplot': 'Bilbo Baggins is swept into a quest to reclaim the lost Dwarf Kingdom of Erebor from the fearsome dragon Smaug. Approached out of the blue by the wizard Gandalf the Grey, Bilbo finds himself joining a company of thirteen dwarves led by the legendary warrior, Thorin Oakenshield. Their journey will take them into the Wild; through treacherous lands swarming with Goblins and Orcs, deadly Wargs and Giant Spiders, Shapeshifters and Sorcerers. Although their goal lies to the East and the wastelands of the Lonely Mountain first they must escape the goblin tunnels, where Bilbo meets the creature that will change his life forever ... Gollum. Here, alone with Gollum, on the shores of an underground lake, the unassuming Bilbo Baggins not only discovers depths of guile and courage that surprise even him, he also gains possession of Gollum\'s "precious" ring that holds unexpected and useful qualities ... A simple, gold ring that is tied to the fate of all Middle-earth in ways Bilbo cannot begin to know.', 'year': 2012, 'score': 0.7053802609443665}
{'genres': ['Adventure', 'Drama', 'Family'], 'title': 'Mio in the Land of Faraway', 'fullplot': 'A fantasy about the lonely boy who is transferred from his dull life with his adoptive parents to the land where his real father is the king. In that country he sets out on a quest, together with his new friend, to destroy the evil Knight Kato.', 'year': 1987, 'score': 0.7041671276092529}
```

MongoDB Vector Search filters the documents based on the `year` field value that ranges between 1955 and 1975. It returns documents that summarize children's adventures in the plot for movies released between 1955 and 1975.

The [How to Perform Semantic Search Against Data in Your Atlas Cluster](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/tutorials/vector-search-tutorial/#std-label-vector-search-tutorial) tutorial demonstrates other pre-filters in semantic search queries against the embedded data in the `sample_mflix.embedded_movies` collection.

MongoDB Vector Search filters the documents based on the `year` field value that ranges between 1955 and 1975. It returns documents that summarize children's adventures in the plot for movies released between 1955 and 1975.

The [How to Perform Semantic Search Against Data in Your Atlas Cluster](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/tutorials/vector-search-tutorial/#std-label-vector-search-tutorial) tutorial demonstrates other pre-filters in semantic search queries against the embedded data in the `sample_mflix.embedded_movies` collection.

MongoDB Vector Search filters the documents based on the `year` field value that ranges between 1980 and 2020. It generated embeddings for the query text using the `voyage-4` embedding model specified in the query and considered up to `100` nearest neighbors before returning the top ten results. It returns documents that summarize fantasy journey of a hero in the plot for movies released between 1980 and 2020.

</Tab>

</Tabs>

### ENN (Exact Nearest Neighbor) Example

The following query uses the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) stage to search the `plot_embedding_voyage_3_large` field using vector embeddings for the string *world war*. It requests exact matches and limits the results to `10` documents only. The query also specifies a [`$project`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/project/#mongodb-pipeline-pipe.-project) stage to do the following:

- Exclude the `_id` field and include only the `plot`, `title`, and `year` fields in the results.

- Add a field named `score` that shows the vector search score of the documents in the results.

The following query uses the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) stage to search the `plot_embedding_voyage_3_large` field using vector embeddings for the string *world war*. It requests exact matches and limits the results to `10` documents only. The query also specifies a [`$project`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/project/#mongodb-pipeline-pipe.-project) stage to do the following:

- Exclude the `_id` field and include only the `plot`, `title`, and `year` fields in the results.

- Add a field named `score` that shows the vector search score of the documents in the results.

The following query uses the [`$vectorSearch`](https://mongodbcom-cdn.staging.corp.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/#mongodb-pipeline-pipe.-vectorSearch) stage to search the `fullplot` field for movies. The query automatically generates vector embeddings for the string *solo traveler discovering new cultures* using the `voyage-4` model, which is the model used in the index for the `fullplot` field, to perform semantic search. It requests exact matches and limits the results to `10` documents only. The query also specifies a [`$project`](https://www.mongodb.com/docs/manual/reference/operator/aggregation/project/#mongodb-pipeline-pipe.-project) stage to do the following:

- Exclude the `_id` field and include only the `fullplot` and `title` fields in the results.

- Add a field named `score` that shows the vector search score of the documents in the results.

#### Save the following embeddings in a file named `query-embeddings.js`.

```javascript
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```

#### Load the file into [`mongosh`](https://www.mongodb.com/docs/mongodb-shell/#mongodb-binary-bin.mongosh) to use the embeddings in your query.

```javascript
load('/<path-to-file>/query-embeddings.js');
```

#### Run the query.

```shell
db.embedded_movies.aggregate([
  {
    "$vectorSearch": {
      "index": "vector_index",
      "path": "plot_embedding_voyage_3_large",
      "queryVector": WORLD_WAR_EMBEDDING,
      "exact": true,
      "limit": 10
    }
  },
  {
    "$project": {
      "_id": 0,
      "plot": 1,
      "title": 1,
      "score": { $meta: "vectorSearchScore" }
    }
  }
])
```

```js
[
  {
    plot: 'During WW2 the Russian Army sent a special group named "Zvezda" to fight the Nazis in their backyard.',
    title: 'The Star',
    score: 0.7459506392478943
  },
  {
    plot: "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.",
    title: 'P-51 Dragon Fighter',
    score: 0.7430292367935181
  },
  {
    plot: 'April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.',
    title: 'Fury',
    score: 0.7428240776062012
  },
  {
    plot: "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...",
    title: 'Memphis Belle',
    score: 0.7340154647827148
  },
  {
    plot: 'The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...',
    title: 'The Young Lions',
    score: 0.7327103614807129
  },
  {
    plot: 'Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.',
    title: 'White Tiger',
    score: 0.732368528842926
  },
  {
    plot: 'The story of ordinary men during WWII as seen from three different points of View.',
    title: 'The Fallen',
    score: 0.7301670908927917
  },
  {
    plot: 'A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.',
    title: 'War Pigs',
    score: 0.7290490865707397
  },
  {
    plot: 'Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...',
    title: 'The Red Baron',
    score: 0.728823184967041
  },
  {
    plot: 'In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.',
    title: 'Battle of Britain',
    score: 0.7270985245704651
  }
]
```

```go
using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;

public class vectorSearchBasicQuery
{
  // define connection to your Atlas cluster
  private const string MongoConnectionString = "<connection-string>";

  public static void Main(string[] args){
    var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
    ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);

    // connect to your Atlas cluster
    var mongoClient = new MongoClient(MongoConnectionString);

    // define namespace
    var moviesDatabase = mongoClient.GetDatabase("sample_mflix");
    var moviesCollection = moviesDatabase.GetCollection<EmbeddedMovie>("embedded_movies");

    // define vector embeddings to search
    var vector = new[] 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7938282,-0.001239097,0.00737414,0.029335376,0.014828872,0.043519516,-0.029335376,-0.04287478,0.017166032,-0.015957156,0.004210916,0.029335376,-0.035299163,0.032559045,-0.02095384,0.026756443,-0.023210408,-0.001037618,0.008220353,-0.031914312,0.002216272,-0.030141294,0.007092069,0.015554197,-0.001229023,-0.014022955,-0.002981893,-0.006326448,-0.034976795,0.012411121,-0.024499875,-0.026111709,0.015070647,0.036427446,0.01523183,0.060282588};
    var options = new VectorSearchOptions<EmbeddedMovie>() {
        IndexName = "vector_index",
        Exact = true
    };

    // run query
    var results = moviesCollection.Aggregate()
                .VectorSearch(m => m.Embedding, vector, 10, options)
                .Project(Builders<EmbeddedMovie>.Projection
                  .Include(m => m.Title)
                  .Include(movie => movie.Plot))
                .ToList();

    // print results
    foreach (var movie in results)
      {
        Console.WriteLine(movie.ToJson());
      }
  }
}

[BsonIgnoreExtraElements]
public class EmbeddedMovie
{
    [BsonIgnoreIfDefault]
    public string Title { get; set; }
    public string Plot { get; set; }
    [BsonElement("plot_embedding_voyage_3_large")]
    public double[] Embedding { get; set; }
}
```

```sh
{ "_id" : { "$oid" : "573a13aaf29313caabd2144d" }, "plot" : "During WW2 the Russian Army sent a special group named \"Zvezda\" to fight the Nazis in their backyard.", "title" : "The Star" }
{ "_id" : { "$oid" : "573a13e1f29313caabdbc094" }, "plot" : "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.", "title" : "P-51 Dragon Fighter" }
{ "_id" : { "$oid" : "573a13e1f29313caabdbbce8" }, "plot" : "April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.", "title" : "Fury" }
{ "_id" : { "$oid" : "573a1399f29313caabcec130" }, "plot" : "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...", "title" : "Memphis Belle" }
{ "_id" : { "$oid" : "573a1394f29313caabce0d70" }, "plot" : "The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...", "title" : "The Young Lions" }
{ "_id" : { "$oid" : "573a13daf29313caabdad76b" }, "plot" : "Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.", "title" : "White Tiger" }
{ "_id" : { "$oid" : "573a13aef29313caabd2e8d0" }, "plot" : "The story of ordinary men during WWII as seen from three different points of View.", "title" : "The Fallen" }
{ "_id" : { "$oid" : "573a13f1f29313caabddb924" }, "plot" : "A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.", "title" : "War Pigs" }
{ "_id" : { "$oid" : "573a13adf29313caabd2a8cf" }, "plot" : "Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...", "title" : "The Red Baron" }
{ "_id" : { "$oid" : "573a1396f29313caabce39a8" }, "plot" : "In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.", "title" : "Battle of Britain" }
```

```go
package main

import (
	"context"
	"fmt"
	"log"

	"go.mongodb.org/mongo-driver/v2/bson"
	"go.mongodb.org/mongo-driver/v2/mongo"
	"go.mongodb.org/mongo-driver/v2/mongo/options"
)

func main() {
	ctx := context.Background()

	// Replace the placeholder with your Atlas connection string
	const uri = "<connection-string>"

	// Connect to your Atlas cluster
	clientOptions := options.Client().ApplyURI(uri)
	client, err := mongo.Connect(clientOptions)
	if err != nil {
		log.Fatalf("failed to connect to the server: %v", err)
	}
	defer func() { _ = client.Disconnect(ctx) }()

	// Set the namespace
	coll := client.Database("sample_mflix").Collection("embedded_movies")

	queryVector := [2048]float64{
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07938282,-0.001239097,0.00737414,0.029335376,0.014828872,0.043519516,-0.029335376,-0.04287478,0.017166032,-0.015957156,0.004210916,0.029335376,-0.035299163,0.032559045,-0.02095384,0.026756443,-0.023210408,-0.001037618,0.008220353,-0.031914312,0.002216272,-0.030141294,0.007092069,0.015554197,-0.001229023,-0.014022955,-0.002981893,-0.006326448,-0.034976795,0.012411121,-0.024499875,-0.026111709,0.015070647,0.036427446,0.01523183,0.060282588,
	}

	vectorSearchStage := bson.D{
		{"$vectorSearch", bson.D{
			{"index", "vector_index"},
			{"path", "plot_embedding_voyage_3_large"},
			{"queryVector", queryVector},
			{"exact", true},
			{"limit", 10},
		}}}

	projectStage := bson.D{
		{"$project", bson.D{
			{"_id", 0},
			{"plot", 1},
			{"title", 1},
			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
		}}}

	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
	if err != nil {
		log.Fatalf("failed to retrieve data from the server: %v", err)
	}
	// display the results
	type ProjectedMovieResult struct {
		Title string  `bson:"title"`
		Plot  string  `bson:"plot"`
		Score float64 `bson:"score"`
	}

	var results []ProjectedMovieResult
	if err = cursor.All(ctx, &results); err != nil {
		log.Fatalf("failed to unmarshal retrieved docs to ProjectedMovieResult objects: %v", err)
	}
	for _, result := range results {
		fmt.Printf("Title: %v \nPlot: %v \nScore: %v \n\n", result.Title, result.Plot, result.Score)
	}
}

```

```sh
Title: The Star
Plot: During WW2 the Russian Army sent a special group named "Zvezda" to fight the Nazis in their backyard.
Score: 0.7459506392478943

Title: P-51 Dragon Fighter
Plot: As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.
Score: 0.7430292367935181

Title: Fury
Plot: April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.
Score: 0.7428240776062012

Title: Memphis Belle
Plot: It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...
Score: 0.7340154647827148

Title: The Young Lions
Plot: The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...
Score: 0.7327103614807129

Title: White Tiger
Plot: Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.
Score: 0.732368528842926

Title: The Fallen
Plot: The story of ordinary men during WWII as seen from three different points of View.
Score: 0.7301670908927917

Title: War Pigs
Plot: A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.
Score: 0.7290490865707397

Title: The Red Baron
Plot: Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...
Score: 0.728823184967041

Title: Battle of Britain
Plot: In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.
Score: 0.7270985245704651
```

```js
import static com.mongodb.client.model.Aggregates.*;
import static com.mongodb.client.model.Projections.*;
import static com.mongodb.client.model.search.SearchPath.fieldPath;
import static java.util.Arrays.asList;

import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import com.mongodb.client.model.search.FieldSearchPath;
import com.mongodb.client.model.search.VectorSearchOptions;
import org.bson.Document;
import org.bson.conversions.Bson;

import java.util.List;

public class FilterQuery {
    public static void main(String[] args) {
        // Specify connection URI
        String uri = "<connection-string>";

        // Establish MongoDB connection
        try (MongoClient mongoClient = MongoClients.create(uri)) {
            MongoDatabase database = mongoClient.getDatabase("sample_mflix");
            MongoCollection<Document> collection = database.getCollection("embedded_movies");

            // Parameters
            List<Double> queryVector = 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,-0.007938282,-0.001239097,0.00737414,0.029335376,0.014828872,0.043519516,-0.029335376,-0.04287478,0.017166032,-0.015957156,0.004210916,0.029335376,-0.035299163,0.032559045,-0.02095384,0.026756443,-0.023210408,-0.001037618,0.008220353,-0.031914312,0.002216272,-0.030141294,0.007092069,0.015554197,-0.001229023,-0.014022955,-0.002981893,-0.006326448,-0.034976795,0.012411121,-0.024499875,-0.026111709,0.015070647,0.036427446,0.01523183,0.060282588);
            String indexName = "vector_index";
            FieldSearchPath fieldSearchPath = fieldPath("plot_embedding_voyage_3_large");
            long limit = 10;

            // Create ExactVectorSearchOptions for precise matching
            VectorSearchOptions options = VectorSearchOptions.exactVectorSearchOptions();

            // Define the aggregation pipeline
            List<Bson> pipeline = asList(
                vectorSearch(
                    fieldSearchPath,
                    queryVector,
                    indexName,
                    limit,
                    options
                ),
                project(
                    fields(
                        exclude("_id"),
                        include("title"),
                        include("plot"),
                        metaVectorSearchScore("score")
                    )
                )
            );

            // Run aggregation query and print results
            collection.aggregate(pipeline).forEach(doc -> System.out.println(doc.toJson()));
        }
    }
}

```

```js
{"plot": "During WW2 the Russian Army sent a special group named \"Zvezda\" to fight the Nazis in their backyard.", "title": "The Star", "score": 0.7459505200386047}
{"plot": "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.", "title": "P-51 Dragon Fighter", "score": 0.7430291771888733}
{"plot": "April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.", "title": "Fury", "score": 0.7428240180015564}
{"plot": "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...", "title": "Memphis Belle", "score": 0.7340154647827148}
{"plot": "The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...", "title": "The Young Lions", "score": 0.7327103614807129}
{"plot": "Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.", "title": "White Tiger", "score": 0.7323684692382812}
{"plot": "The story of ordinary men during WWII as seen from three different points of View.", "title": "The Fallen", "score": 0.7301670908927917}
{"plot": "A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.", "title": "War Pigs", "score": 0.7290489673614502}
{"plot": "Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...", "title": "The Red Baron", "score": 0.7288231253623962}
{"plot": "In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.", "title": "Battle of Britain", "score": 0.7270984649658203}
```

```js
const { MongoClient } = require("mongodb");

// connect to your Atlas cluster
const uri = "<connection-string>";

const client = new MongoClient(uri);

async function run() {
    try {
        await client.connect();

        // set namespace
        const database = client.db("sample_mflix");
        const coll = database.collection("embedded_movies");

        // define pipeline
        const agg = [
            {
              '$vectorSearch': {
                'index': 'vector_index',
                'path': 'plot_embedding_voyage_3_large',
                'queryVector': [
                  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                ],
                'exact': true,
                'limit': 10
              }
            }, {
              '$project': {
                '_id': 0,
                'plot': 1,
                'title': 1,
                'score': {
                  '$meta': 'vectorSearchScore'
                }
              }
            }
          ];
        // run pipeline
        const result = coll.aggregate(agg);

        // print results
        await result.forEach((doc) => console.dir(JSON.stringify(doc)));
    } finally {
        await client.close();
    }
}
run().catch(console.dir);

```

```js
'{"plot":"During WW2 the Russian Army sent a special group named \\"Zvezda\\" to fight the Nazis in their backyard.","title":"The Star","score":0.7459506392478943}'
`{"plot":"As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.","title":"P-51 Dragon Fighter","score":0.7430292367935181}`
'{"plot":"April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.","title":"Fury","score":0.7428240776062012}'
`{"plot":"It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...","title":"Memphis Belle","score":0.7340154647827148}`
'{"plot":"The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...","title":"The Young Lions","score":0.7327103614807129}'
'{"plot":"Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.","title":"White Tiger","score":0.732368528842926}'
'{"plot":"The story of ordinary men during WWII as seen from three different points of View.","title":"The Fallen","score":0.7301670908927917}'
'{"plot":"A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.","title":"War Pigs","score":0.7290490865707397}'
'{"plot":"Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...","title":"The Red Baron","score":0.728823184967041}'
'{"plot":"In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.","title":"Battle of Britain","score":0.7270985245704651}'
```

Work with a runnable version of this example as a [Python notebook](https://github.com/mongodb/docs-notebooks/blob/main/run-queries/enn.ipynb).

```python
import pymongo

# connect to your Atlas cluster
client = pymongo.MongoClient("<connection-string>")

# define pipeline
pipeline = [
  {
    '$vectorSearch': {
      'index': 'vector_index',
      'path': 'plot_embedding_voyage_3_large',
      'queryVector': 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      'exact': True,
      'limit': 10
    }
  }, {
    '$project': {
      '_id': 0,
      'plot': 1,
      'title': 1,
      'score': {
        '$meta': 'vectorSearchScore'
      }
    }
  }
]

# run pipeline
result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)

# print results
for i in result:
    print(i)

```

```js
{'plot': 'During WW2 the Russian Army sent a special group named "Zvezda" to fight the Nazis in their backyard.', 'title': 'The Star', 'score': 0.7459506392478943}
{'plot': "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.", 'title': 'P-51 Dragon Fighter', 'score': 0.7430292367935181}
{'plot': 'April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.', 'title': 'Fury', 'score': 0.7428240776062012}
{'plot': "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...", 'title': 'Memphis Belle', 'score': 0.7340154647827148}
{'plot': 'The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...', 'title': 'The Young Lions', 'score': 0.7327103614807129}
{'plot': 'Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.', 'title': 'White Tiger', 'score': 0.732368528842926}
{'plot': 'The story of ordinary men during WWII as seen from three different points of View.', 'title': 'The Fallen', 'score': 0.7301670908927917}
{'plot': 'A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.', 'title': 'War Pigs', 'score': 0.7290490865707397}
{'plot': 'Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...', 'title': 'The Red Baron', 'score': 0.728823184967041}
{'plot': 'In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.', 'title': 'Battle of Britain', 'score': 0.7270985245704651}
```

#### Save the following embeddings in a file named `query-embeddings.js`.

```javascript
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```

#### Load the file into [`mongosh`](https://www.mongodb.com/docs/mongodb-shell/#mongodb-binary-bin.mongosh) to use the embeddings in your query.

```javascript
load('/<path-to-file>/query-embeddings.js');
```

#### Run the query.

```shell
db.embedded_movies.aggregate([
  {
    "$vectorSearch": {
      "index": "vector_index",
      "path": "plot_embedding_voyage_3_large",
      "queryVector": WORLD_WAR_EMBEDDING,
      "exact": true,
      "limit": 10
    }
  },
  {
    "$project": {
      "_id": 0,
      "plot": 1,
      "title": 1,
      "score": { $meta: "vectorSearchScore" }
    }
  }
])
```

```js
[
  {
    plot: 'During WW2 the Russian Army sent a special group named "Zvezda" to fight the Nazis in their backyard.',
    title: 'The Star',
    score: 0.7459506392478943
  },
  {
    plot: "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.",
    title: 'P-51 Dragon Fighter',
    score: 0.7430292367935181
  },
  {
    plot: 'April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.',
    title: 'Fury',
    score: 0.7428240776062012
  },
  {
    plot: "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...",
    title: 'Memphis Belle',
    score: 0.7340154647827148
  },
  {
    plot: 'The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...',
    title: 'The Young Lions',
    score: 0.7327103614807129
  },
  {
    plot: 'Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.',
    title: 'White Tiger',
    score: 0.732368528842926
  },
  {
    plot: 'The story of ordinary men during WWII as seen from three different points of View.',
    title: 'The Fallen',
    score: 0.7301670908927917
  },
  {
    plot: 'A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.',
    title: 'War Pigs',
    score: 0.7290490865707397
  },
  {
    plot: 'Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...',
    title: 'The Red Baron',
    score: 0.728823184967041
  },
  {
    plot: 'In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.',
    title: 'Battle of Britain',
    score: 0.7270985245704651
  }
]
```

```go
using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;

public class vectorSearchBasicQuery
{
  // define connection to your Atlas cluster
  private const string MongoConnectionString = "<connection-string>";

  public static void Main(string[] args){
    var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
    ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);

    // connect to your Atlas cluster
    var mongoClient = new MongoClient(MongoConnectionString);

    // define namespace
    var moviesDatabase = mongoClient.GetDatabase("sample_mflix");
    var moviesCollection = moviesDatabase.GetCollection<EmbeddedMovie>("embedded_movies");

    // define vector embeddings to search
    var vector = new[] 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7938282,-0.001239097,0.00737414,0.029335376,0.014828872,0.043519516,-0.029335376,-0.04287478,0.017166032,-0.015957156,0.004210916,0.029335376,-0.035299163,0.032559045,-0.02095384,0.026756443,-0.023210408,-0.001037618,0.008220353,-0.031914312,0.002216272,-0.030141294,0.007092069,0.015554197,-0.001229023,-0.014022955,-0.002981893,-0.006326448,-0.034976795,0.012411121,-0.024499875,-0.026111709,0.015070647,0.036427446,0.01523183,0.060282588};
    var options = new VectorSearchOptions<EmbeddedMovie>() {
        IndexName = "vector_index",
        Exact = true
    };

    // run query
    var results = moviesCollection.Aggregate()
                .VectorSearch(m => m.Embedding, vector, 10, options)
                .Project(Builders<EmbeddedMovie>.Projection
                  .Include(m => m.Title)
                  .Include(movie => movie.Plot))
                .ToList();

    // print results
    foreach (var movie in results)
      {
        Console.WriteLine(movie.ToJson());
      }
  }
}

[BsonIgnoreExtraElements]
public class EmbeddedMovie
{
    [BsonIgnoreIfDefault]
    public string Title { get; set; }
    public string Plot { get; set; }
    [BsonElement("plot_embedding_voyage_3_large")]
    public double[] Embedding { get; set; }
}
```

```sh
{ "_id" : { "$oid" : "573a13aaf29313caabd2144d" }, "plot" : "During WW2 the Russian Army sent a special group named \"Zvezda\" to fight the Nazis in their backyard.", "title" : "The Star" }
{ "_id" : { "$oid" : "573a13e1f29313caabdbc094" }, "plot" : "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.", "title" : "P-51 Dragon Fighter" }
{ "_id" : { "$oid" : "573a13e1f29313caabdbbce8" }, "plot" : "April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.", "title" : "Fury" }
{ "_id" : { "$oid" : "573a1399f29313caabcec130" }, "plot" : "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...", "title" : "Memphis Belle" }
{ "_id" : { "$oid" : "573a1394f29313caabce0d70" }, "plot" : "The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...", "title" : "The Young Lions" }
{ "_id" : { "$oid" : "573a13daf29313caabdad76b" }, "plot" : "Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.", "title" : "White Tiger" }
{ "_id" : { "$oid" : "573a13aef29313caabd2e8d0" }, "plot" : "The story of ordinary men during WWII as seen from three different points of View.", "title" : "The Fallen" }
{ "_id" : { "$oid" : "573a13f1f29313caabddb924" }, "plot" : "A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.", "title" : "War Pigs" }
{ "_id" : { "$oid" : "573a13adf29313caabd2a8cf" }, "plot" : "Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...", "title" : "The Red Baron" }
{ "_id" : { "$oid" : "573a1396f29313caabce39a8" }, "plot" : "In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.", "title" : "Battle of Britain" }
```

```go
package main

import (
	"context"
	"fmt"
	"log"

	"go.mongodb.org/mongo-driver/v2/bson"
	"go.mongodb.org/mongo-driver/v2/mongo"
	"go.mongodb.org/mongo-driver/v2/mongo/options"
)

func main() {
	ctx := context.Background()

	// Replace the placeholder with your Atlas connection string
	const uri = "<connection-string>"

	// Connect to your Atlas cluster
	clientOptions := options.Client().ApplyURI(uri)
	client, err := mongo.Connect(clientOptions)
	if err != nil {
		log.Fatalf("failed to connect to the server: %v", err)
	}
	defer func() { _ = client.Disconnect(ctx) }()

	// Set the namespace
	coll := client.Database("sample_mflix").Collection("embedded_movies")

	queryVector := [2048]float64{
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07938282,-0.001239097,0.00737414,0.029335376,0.014828872,0.043519516,-0.029335376,-0.04287478,0.017166032,-0.015957156,0.004210916,0.029335376,-0.035299163,0.032559045,-0.02095384,0.026756443,-0.023210408,-0.001037618,0.008220353,-0.031914312,0.002216272,-0.030141294,0.007092069,0.015554197,-0.001229023,-0.014022955,-0.002981893,-0.006326448,-0.034976795,0.012411121,-0.024499875,-0.026111709,0.015070647,0.036427446,0.01523183,0.060282588,
	}

	vectorSearchStage := bson.D{
		{"$vectorSearch", bson.D{
			{"index", "vector_index"},
			{"path", "plot_embedding_voyage_3_large"},
			{"queryVector", queryVector},
			{"exact", true},
			{"limit", 10},
		}}}

	projectStage := bson.D{
		{"$project", bson.D{
			{"_id", 0},
			{"plot", 1},
			{"title", 1},
			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
		}}}

	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
	if err != nil {
		log.Fatalf("failed to retrieve data from the server: %v", err)
	}
	// display the results
	type ProjectedMovieResult struct {
		Title string  `bson:"title"`
		Plot  string  `bson:"plot"`
		Score float64 `bson:"score"`
	}

	var results []ProjectedMovieResult
	if err = cursor.All(ctx, &results); err != nil {
		log.Fatalf("failed to unmarshal retrieved docs to ProjectedMovieResult objects: %v", err)
	}
	for _, result := range results {
		fmt.Printf("Title: %v \nPlot: %v \nScore: %v \n\n", result.Title, result.Plot, result.Score)
	}
}

```

```sh
Title: The Star
Plot: During WW2 the Russian Army sent a special group named "Zvezda" to fight the Nazis in their backyard.
Score: 0.7459506392478943

Title: P-51 Dragon Fighter
Plot: As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.
Score: 0.7430292367935181

Title: Fury
Plot: April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.
Score: 0.7428240776062012

Title: Memphis Belle
Plot: It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...
Score: 0.7340154647827148

Title: The Young Lions
Plot: The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...
Score: 0.7327103614807129

Title: White Tiger
Plot: Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.
Score: 0.732368528842926

Title: The Fallen
Plot: The story of ordinary men during WWII as seen from three different points of View.
Score: 0.7301670908927917

Title: War Pigs
Plot: A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.
Score: 0.7290490865707397

Title: The Red Baron
Plot: Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...
Score: 0.728823184967041

Title: Battle of Britain
Plot: In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.
Score: 0.7270985245704651
```

```js
import static com.mongodb.client.model.Aggregates.*;
import static com.mongodb.client.model.Projections.*;
import static com.mongodb.client.model.search.SearchPath.fieldPath;
import static java.util.Arrays.asList;

import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import com.mongodb.client.model.search.FieldSearchPath;
import com.mongodb.client.model.search.VectorSearchOptions;
import org.bson.Document;
import org.bson.conversions.Bson;

import java.util.List;

public class FilterQuery {
    public static void main(String[] args) {
        // Specify connection URI
        String uri = "<connection-string>";

        // Establish MongoDB connection
        try (MongoClient mongoClient = MongoClients.create(uri)) {
            MongoDatabase database = mongoClient.getDatabase("sample_mflix");
            MongoCollection<Document> collection = database.getCollection("embedded_movies");

            // Parameters
            List<Double> queryVector = 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,-0.007938282,-0.001239097,0.00737414,0.029335376,0.014828872,0.043519516,-0.029335376,-0.04287478,0.017166032,-0.015957156,0.004210916,0.029335376,-0.035299163,0.032559045,-0.02095384,0.026756443,-0.023210408,-0.001037618,0.008220353,-0.031914312,0.002216272,-0.030141294,0.007092069,0.015554197,-0.001229023,-0.014022955,-0.002981893,-0.006326448,-0.034976795,0.012411121,-0.024499875,-0.026111709,0.015070647,0.036427446,0.01523183,0.060282588);
            String indexName = "vector_index";
            FieldSearchPath fieldSearchPath = fieldPath("plot_embedding_voyage_3_large");
            long limit = 10;

            // Create ExactVectorSearchOptions for precise matching
            VectorSearchOptions options = VectorSearchOptions.exactVectorSearchOptions();

            // Define the aggregation pipeline
            List<Bson> pipeline = asList(
                vectorSearch(
                    fieldSearchPath,
                    queryVector,
                    indexName,
                    limit,
                    options
                ),
                project(
                    fields(
                        exclude("_id"),
                        include("title"),
                        include("plot"),
                        metaVectorSearchScore("score")
                    )
                )
            );

            // Run aggregation query and print results
            collection.aggregate(pipeline).forEach(doc -> System.out.println(doc.toJson()));
        }
    }
}

```

```js
{"plot": "During WW2 the Russian Army sent a special group named \"Zvezda\" to fight the Nazis in their backyard.", "title": "The Star", "score": 0.7459505200386047}
{"plot": "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.", "title": "P-51 Dragon Fighter", "score": 0.7430291771888733}
{"plot": "April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.", "title": "Fury", "score": 0.7428240180015564}
{"plot": "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...", "title": "Memphis Belle", "score": 0.7340154647827148}
{"plot": "The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...", "title": "The Young Lions", "score": 0.7327103614807129}
{"plot": "Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.", "title": "White Tiger", "score": 0.7323684692382812}
{"plot": "The story of ordinary men during WWII as seen from three different points of View.", "title": "The Fallen", "score": 0.7301670908927917}
{"plot": "A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.", "title": "War Pigs", "score": 0.7290489673614502}
{"plot": "Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...", "title": "The Red Baron", "score": 0.7288231253623962}
{"plot": "In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.", "title": "Battle of Britain", "score": 0.7270984649658203}
```

```js
const { MongoClient } = require("mongodb");

// connect to your Atlas cluster
const uri = "<connection-string>";

const client = new MongoClient(uri);

async function run() {
    try {
        await client.connect();

        // set namespace
        const database = client.db("sample_mflix");
        const coll = database.collection("embedded_movies");

        // define pipeline
        const agg = [
            {
              '$vectorSearch': {
                'index': 'vector_index',
                'path': 'plot_embedding_voyage_3_large',
                'queryVector': [
                  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                ],
                'exact': true,
                'limit': 10
              }
            }, {
              '$project': {
                '_id': 0,
                'plot': 1,
                'title': 1,
                'score': {
                  '$meta': 'vectorSearchScore'
                }
              }
            }
          ];
        // run pipeline
        const result = coll.aggregate(agg);

        // print results
        await result.forEach((doc) => console.dir(JSON.stringify(doc)));
    } finally {
        await client.close();
    }
}
run().catch(console.dir);

```

```js
'{"plot":"During WW2 the Russian Army sent a special group named \\"Zvezda\\" to fight the Nazis in their backyard.","title":"The Star","score":0.7459506392478943}'
`{"plot":"As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.","title":"P-51 Dragon Fighter","score":0.7430292367935181}`
'{"plot":"April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.","title":"Fury","score":0.7428240776062012}'
`{"plot":"It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...","title":"Memphis Belle","score":0.7340154647827148}`
'{"plot":"The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...","title":"The Young Lions","score":0.7327103614807129}'
'{"plot":"Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.","title":"White Tiger","score":0.732368528842926}'
'{"plot":"The story of ordinary men during WWII as seen from three different points of View.","title":"The Fallen","score":0.7301670908927917}'
'{"plot":"A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.","title":"War Pigs","score":0.7290490865707397}'
'{"plot":"Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...","title":"The Red Baron","score":0.728823184967041}'
'{"plot":"In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.","title":"Battle of Britain","score":0.7270985245704651}'
```

Work with a runnable version of this example as a [Python notebook](https://github.com/mongodb/docs-notebooks/blob/main/run-queries/enn.ipynb).

```python
import pymongo

# connect to your Atlas cluster
client = pymongo.MongoClient("<connection-string>")

# define pipeline
pipeline = [
  {
    '$vectorSearch': {
      'index': 'vector_index',
      'path': 'plot_embedding_voyage_3_large',
      'queryVector': 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      'exact': True,
      'limit': 10
    }
  }, {
    '$project': {
      '_id': 0,
      'plot': 1,
      'title': 1,
      'score': {
        '$meta': 'vectorSearchScore'
      }
    }
  }
]

# run pipeline
result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)

# print results
for i in result:
    print(i)

```

```js
{'plot': 'During WW2 the Russian Army sent a special group named "Zvezda" to fight the Nazis in their backyard.', 'title': 'The Star', 'score': 0.7459506392478943}
{'plot': "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.", 'title': 'P-51 Dragon Fighter', 'score': 0.7430292367935181}
{'plot': 'April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.', 'title': 'Fury', 'score': 0.7428240776062012}
{'plot': "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...", 'title': 'Memphis Belle', 'score': 0.7340154647827148}
{'plot': 'The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...', 'title': 'The Young Lions', 'score': 0.7327103614807129}
{'plot': 'Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.', 'title': 'White Tiger', 'score': 0.732368528842926}
{'plot': 'The story of ordinary men during WWII as seen from three different points of View.', 'title': 'The Fallen', 'score': 0.7301670908927917}
{'plot': 'A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.', 'title': 'War Pigs', 'score': 0.7290490865707397}
{'plot': 'Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...', 'title': 'The Red Baron', 'score': 0.728823184967041}
{'plot': 'In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.', 'title': 'Battle of Britain', 'score': 0.7270985245704651}
```

```js
db.movies.aggregate([
  {
    "$vectorSearch": {
      "index": "vector_index",
      "path": "fullplot",
      "query": {
        "text": "solo traveler discovering new cultures"
      },
      "model": "voyage-4",
      "exact": true,
      "limit": 10
    }
  },
  {
    "$project": {
      "_id": 0,
      "fullplot": 1,
      "title": 1,
      "score": { $meta: "vectorSearchScore" }
    }
  }
])
```

```js
[
  {
    title: 'Hotel Very Welcome',
    fullplot: "Five Europeans in Asia. Josh and Adam, friends from England, are on holiday. Josh runs out of money and complains as Adam plays with the purse strings. Svenja, also in Thailand, has missed a flight and calls a travel agent whose English and ability to assist are limited. A phone friendship develops that might lead to more. In India, Liam is an Irish lad looking for experiences as he smokes dope and thinks about a baby he's fathered during a one-night stand. Marion is taking dance and meditation at an ashram as she seeks to grow; she's guessed that her relationship with her boyfriend back in Germany is kaput. Does anyone make a self-discovery?",
    score: 0.7484908699989319
  },
  {
    title: 'Hong Kong Confidential',
    fullplot: "One week in one of the most exotic and picturesque cities of the world. The day of changes comes when Amaya meets a charming Englishman, Paul and it dramatically changes Amaya's perception of her cultural and personal identity.",
    score: 0.7475266456604004
  },
  {
    title: 'Along the Roadside',
    fullplot: 'Two young people from different parts of the world, their vastly different cultures and their journey of self-discovery during the drive to the largest music festival in California.',
    score: 0.7325069308280945
  },
  {
    title: 'Genghis Blues',
    fullplot: 'The extraordinary odyssey of a U.S. musician of Cape Verdean ancestry to Tannu Tuva, in central Asia, where nomadic people throat sing more than one note simultaneously, using vocal harmonics. A bluesman, Paul Pena, blind and recently widowed, taught himself throat singing and was by chance invited to the 1995 throat-singing symposium in Kyzyl. Helped by the "Friends of Tuva," Pena makes the arduous journey. Singing in the deep, rumbling kargyraa style, Pena gives inspired performances at the festival, composes songs in Tuvan, washes his face in sacred rivers, expresses the disorientation of blindness in foreign surroundings, and makes a human connection with everyone he meets.',
    score: 0.7244479656219482
  },
  {
    title: 'Sansa',
    fullplot: 'Sansa is a young man. The camera pursues him, takes a peep at him, tries to catch his face, his look, his cap. The camera gets out of breath running after the man, becoming an observer, a friend into his endless trip between the stations of Paris, the streets of Spain and Portugal, Italy and Hungary, Burkina Faso and Egypt, India, the illuminated roads and boards and lounges of Japan. Sansa is a free-minded and impulsive. He is a man who will accost people on the street - women - to be courted, next minute - to be forgotten. He will get into trouble, but behind the next corner he will run away. May be the next train will take him to the end of his adventure ...',
    score: 0.714179277420044
  },
  {
    title: 'Open Road',
    fullplot: 'Angie, a young Brazilian artist, abandons her old life and embarks on a journey around the country. Running from her past, and searching for her foundation in life, Angie finds not only herself but love in its many forms.',
    score: 0.7122741937637329
  },
  {
    title: 'Tracks',
    fullplot: 'A young woman goes on a 1,700-mile trek across the deserts of West Australia with four camels and her faithful dog.',
    score: 0.7122684121131897
  },
  {
    title: 'For Some Inexplicable Reason',
    fullplot: 'A trip to Lisbon helps a nerdy guy who is quickly approaching 30 finally get his mojo back.',
    score: 0.711905837059021
  },
  {
    title: 'The Salt of the Earth',
    fullplot: "For the last 40 years, the photographer Sebastièo Salgado has been travelling through the continents, in the footsteps of an ever-changing humanity. He has witnessed some of the major events of our recent history; international conflicts, starvation and exodus. He is now embarking on the discovery of pristine territories, of wild fauna and flora, and of grandiose landscapes as part of a huge photographic project which is a tribute to the planet's beauty.",
    score: 0.7106886506080627
  },
  {
    fullplot: `Barry Egan hates himself and hates his life. The only male among eight siblings, Barry is treated poorly by his overbearing sisters without them probably even realizing it. Despite owning his own business, he has gotten nowhere in life largely because of his insecurities. He leads a solitary life, which allows him to hide his violent outbursts that occur when he's frustrated. His solitude however allows him to think, he stumbling upon a scheme to travel the world on a pittance, travel which he has never done. Concurrently, he meets two people who pull him in two different directions. The first is Lena Leonard, a friend of his sister Elizabeth. Barry is slow to realize that Lena is attracted to him, he making her make all the first moves. Lena is eventually able to get Barry out of his shell, she who sticks around despite his obvious problems. His burgeoning relationship and thus new life with Lena is threatened by the second, "Georgia", who he contacted in an effort to alleviate his loneliness. Georgia and her "band of brothers" do whatever they can get get out of Barry what they want, no matter the price to Barry.`,
    title: 'Punch-Drunk Love',
    score: 0.7085450887680054
  }
]
```

```js
const { MongoClient } = require("mongodb");

// connect to your Atlas cluster
const uri = "<connection-string>";

const client = new MongoClient(uri);

async function run() {
    try {
        await client.connect();

        // set namespace
        const database = client.db("sample_mflix");
        const coll = database.collection("movies");

        // define pipeline
        const agg = [
            {
              '$vectorSearch': {
                'index': 'vector_index',
                'path': 'fullplot',
                'query': {
                    "text": "solo traveler discovering new cultures"
                },
                'model': 'voyage-4',
                'exact': true,
                'limit': 10
              }
            }, {
              '$project': {
                '_id': 0,
                'fullplot': 1,
                'title': 1,
                'score': {
                  '$meta': 'vectorSearchScore'
                }
              }
            }
          ];
        // run pipeline
        const result = coll.aggregate(agg);

        // print results
        await result.forEach((doc) => console.dir(JSON.stringify(doc)));
    } finally {
        await client.close();
    }
}
run().catch(console.dir);

```

```js
`{"title":"Hotel Very Welcome","fullplot":"Five Europeans in Asia. Josh and Adam, friends from England, are on holiday. Josh runs out of money and complains as Adam plays with the purse strings. Svenja, also in Thailand, has missed a flight and calls a travel agent whose English and ability to assist are limited. A phone friendship develops that might lead to more. In India, Liam is an Irish lad looking for experiences as he smokes dope and thinks about a baby he's fathered during a one-night stand. Marion is taking dance and meditation at an ashram as she seeks to grow; she's guessed that her relationship with her boyfriend back in Germany is kaput. Does anyone make a self-discovery?","score":0.7484908699989319}`
`{"title":"Hong Kong Confidential","fullplot":"One week in one of the most exotic and picturesque cities of the world. The day of changes comes when Amaya meets a charming Englishman, Paul and it dramatically changes Amaya's perception of her cultural and personal identity.","score":0.7475266456604004}`
'{"title":"Along the Roadside","fullplot":"Two young people from different parts of the world, their vastly different cultures and their journey of self-discovery during the drive to the largest music festival in California.","score":0.7325069308280945}'
'{"title":"Genghis Blues","fullplot":"The extraordinary odyssey of a U.S. musician of Cape Verdean ancestry to Tannu Tuva, in central Asia, where nomadic people throat sing more than one note simultaneously, using vocal harmonics. A bluesman, Paul Pena, blind and recently widowed, taught himself throat singing and was by chance invited to the 1995 throat-singing symposium in Kyzyl. Helped by the \\"Friends of Tuva,\\" Pena makes the arduous journey. Singing in the deep, rumbling kargyraa style, Pena gives inspired performances at the festival, composes songs in Tuvan, washes his face in sacred rivers, expresses the disorientation of blindness in foreign surroundings, and makes a human connection with everyone he meets.","score":0.7244479656219482}'
'{"title":"Sansa","fullplot":"Sansa is a young man. The camera pursues him, takes a peep at him, tries to catch his face, his look, his cap. The camera gets out of breath running after the man, becoming an observer, a friend into his endless trip between the stations of Paris, the streets of Spain and Portugal, Italy and Hungary, Burkina Faso and Egypt, India, the illuminated roads and boards and lounges of Japan. Sansa is a free-minded and impulsive. He is a man who will accost people on the street - women - to be courted, next minute - to be forgotten. He will get into trouble, but behind the next corner he will run away. May be the next train will take him to the end of his adventure ...","score":0.714179277420044}'
'{"title":"Open Road","fullplot":"Angie, a young Brazilian artist, abandons her old life and embarks on a journey around the country. Running from her past, and searching for her foundation in life, Angie finds not only herself but love in its many forms.","score":0.7122741937637329}'
'{"title":"Tracks","fullplot":"A young woman goes on a 1,700-mile trek across the deserts of West Australia with four camels and her faithful dog.","score":0.7122684121131897}'
'{"title":"For Some Inexplicable Reason","fullplot":"A trip to Lisbon helps a nerdy guy who is quickly approaching 30 finally get his mojo back.","score":0.711905837059021}'
`{"title":"The Salt of the Earth","fullplot":"For the last 40 years, the photographer Sebastièo Salgado has been travelling through the continents, in the footsteps of an ever-changing humanity. He has witnessed some of the major events of our recent history; international conflicts, starvation and exodus. He is now embarking on the discovery of pristine territories, of wild fauna and flora, and of grandiose landscapes as part of a huge photographic project which is a tribute to the planet's beauty.","score":0.7106886506080627}`
`{"fullplot":"Barry Egan hates himself and hates his life. The only male among eight siblings, Barry is treated poorly by his overbearing sisters without them probably even realizing it. Despite owning his own business, he has gotten nowhere in life largely because of his insecurities. He leads a solitary life, which allows him to hide his violent outbursts that occur when he's frustrated. His solitude however allows him to think, he stumbling upon a scheme to travel the world on a pittance, travel which he has never done. Concurrently, he meets two people who pull him in two different directions. The first is Lena Leonard, a friend of his sister Elizabeth. Barry is slow to realize that Lena is attracted to him, he making her make all the first moves. Lena is eventually able to get Barry out of his shell, she who sticks around despite his obvious problems. His burgeoning relationship and thus new life with Lena is threatened by the second, \\"Georgia\\", who he contacted in an effort to alleviate his loneliness. Georgia and her \\"band of brothers\\" do whatever they can get get out of Barry what they want, no matter the price to Barry.","title":"Punch-Drunk Love","score":0.7085450887680054}`
```

```python
import pymongo

# connect to your Atlas cluster
client = pymongo.MongoClient("mongodb://adminUser:adminUserPWD@localhost:27017/?authSource=admin&directConnection=true")

# define pipeline
pipeline = [
  {
    '$vectorSearch': {
      'index': 'vector_index',
      'path': 'fullplot',
      'query': {
        "text": "solo traveler discovering new cultures"
      },
      'model': 'voyage-4',
      'exact': True,
      'limit': 10
    }
  }, {
    '$project': {
      '_id': 0,
      'fullplot': 1,
      'title': 1,
      'score': {
        '$meta': 'vectorSearchScore'
      }
    }
  }
]

# run pipeline
result = client["sample_mflix"]["movies"].aggregate(pipeline)

# print results
for i in result:
    print(i)

```

```js
{'title': 'Hotel Very Welcome', 'fullplot': "Five Europeans in Asia. Josh and Adam, friends from England, are on holiday. Josh runs out of money and complains as Adam plays with the purse strings. Svenja, also in Thailand, has missed a flight and calls a travel agent whose English and ability to assist are limited. A phone friendship develops that might lead to more. In India, Liam is an Irish lad looking for experiences as he smokes dope and thinks about a baby he's fathered during a one-night stand. Marion is taking dance and meditation at an ashram as she seeks to grow; she's guessed that her relationship with her boyfriend back in Germany is kaput. Does anyone make a self-discovery?", 'score': 0.7484908699989319}
{'title': 'Hong Kong Confidential', 'fullplot': "One week in one of the most exotic and picturesque cities of the world. The day of changes comes when Amaya meets a charming Englishman, Paul and it dramatically changes Amaya's perception of her cultural and personal identity.", 'score': 0.7475266456604004}
{'title': 'Along the Roadside', 'fullplot': 'Two young people from different parts of the world, their vastly different cultures and their journey of self-discovery during the drive to the largest music festival in California.', 'score': 0.7325069308280945}
{'title': 'Genghis Blues', 'fullplot': 'The extraordinary odyssey of a U.S. musician of Cape Verdean ancestry to Tannu Tuva, in central Asia, where nomadic people throat sing more than one note simultaneously, using vocal harmonics. A bluesman, Paul Pena, blind and recently widowed, taught himself throat singing and was by chance invited to the 1995 throat-singing symposium in Kyzyl. Helped by the "Friends of Tuva," Pena makes the arduous journey. Singing in the deep, rumbling kargyraa style, Pena gives inspired performances at the festival, composes songs in Tuvan, washes his face in sacred rivers, expresses the disorientation of blindness in foreign surroundings, and makes a human connection with everyone he meets.', 'score': 0.7244479656219482}
{'title': 'Sansa', 'fullplot': 'Sansa is a young man. The camera pursues him, takes a peep at him, tries to catch his face, his look, his cap. The camera gets out of breath running after the man, becoming an observer, a friend into his endless trip between the stations of Paris, the streets of Spain and Portugal, Italy and Hungary, Burkina Faso and Egypt, India, the illuminated roads and boards and lounges of Japan. Sansa is a free-minded and impulsive. He is a man who will accost people on the street - women - to be courted, next minute - to be forgotten. He will get into trouble, but behind the next corner he will run away. May be the next train will take him to the end of his adventure ...', 'score': 0.714179277420044}
{'title': 'Open Road', 'fullplot': 'Angie, a young Brazilian artist, abandons her old life and embarks on a journey around the country. Running from her past, and searching for her foundation in life, Angie finds not only herself but love in its many forms.', 'score': 0.7122741937637329}
{'title': 'Tracks', 'fullplot': 'A young woman goes on a 1,700-mile trek across the deserts of West Australia with four camels and her faithful dog.', 'score': 0.7122684121131897}
{'title': 'For Some Inexplicable Reason', 'fullplot': 'A trip to Lisbon helps a nerdy guy who is quickly approaching 30 finally get his mojo back.', 'score': 0.711905837059021}
{'title': 'The Salt of the Earth', 'fullplot': "For the last 40 years, the photographer Sebastièo Salgado has been travelling through the continents, in the footsteps of an ever-changing humanity. He has witnessed some of the major events of our recent history; international conflicts, starvation and exodus. He is now embarking on the discovery of pristine territories, of wild fauna and flora, and of grandiose landscapes as part of a huge photographic project which is a tribute to the planet's beauty.", 'score': 0.7106886506080627}
{'fullplot': 'Barry Egan hates himself and hates his life. The only male among eight siblings, Barry is treated poorly by his overbearing sisters without them probably even realizing it. Despite owning his own business, he has gotten nowhere in life largely because of his insecurities. He leads a solitary life, which allows him to hide his violent outbursts that occur when he\'s frustrated. His solitude however allows him to think, he stumbling upon a scheme to travel the world on a pittance, travel which he has never done. Concurrently, he meets two people who pull him in two different directions. The first is Lena Leonard, a friend of his sister Elizabeth. Barry is slow to realize that Lena is attracted to him, he making her make all the first moves. Lena is eventually able to get Barry out of his shell, she who sticks around despite his obvious problems. His burgeoning relationship and thus new life with Lena is threatened by the second, "Georgia", who he contacted in an effort to alleviate his loneliness. Georgia and her "band of brothers" do whatever they can get get out of Barry what they want, no matter the price to Barry.', 'title': 'Punch-Drunk Love', 'score': 0.7085450887680054}
```

