Como realizar semantic search nos dados do cluster do Atlas

Este tutorial descreve como executar uma pesquisa deANN em um vetor no plot_embedding_voyage_3_large campo na sample_mflix.embedded_movies coleção no seu cluster. Para demonstrar isso, ele conduz você pelas seguintes etapas:

Crie um índice do MongoDB Vector Search no campo numérico chamado plot_embedding_voyage_3_large na coleção sample_mflix.embedded_movies.
Execute queries do MongoDB Vector Search no campo plot_embedding_voyage_3_large na coleção sample_mflix.embedded_movies.

➤ Use o menu suspenso Selecione seu idioma para selecionar o cliente a ser usado para criar o índice do MongoDB Vector Search e executar consultas.

Trabalhe com uma versão executável deste tutorial como um bloco de anotações Python.

Pré-requisitos

Antes de começar, conclua os pré-requisitos comuns. Este tutorial inclui exemplos para os seguintes clientes:

Crie o índice de Vector Search do MongoDB

Esta seção demonstra como criar um índice do MongoDB Vector Search no campo plot_embedding_voyage_3_large no collection sample_mflix.embedded_movies para executar queries vetoriais no campo.

Acesso necessário

Para criar um índice do MongoDB Vector Search, você deve ter Project Data Access Admin ou superior ao projeto.

Procedimento

No Atlas, VáGo para a Clusters página do seu projeto.

AVISO: Melhorias de navegação em andamento No momento, estamos implementando uma experiência de navegação nova e aprimorada. Se as etapas a seguir não corresponderem à sua visualização na IU do Atlas, consulte a documentação de visualização.

Se ainda não tiver sido exibido, selecione a organização que contém seu projeto no menu Organizations na barra de navegação.
Se ainda não estiver exibido, selecione o projeto desejado no menu Projects na barra de navegação.
Se ainda não estiver exibido, clique em Clusters na barra lateral.
A página Clusters é exibida.

Acesse a página Pesquisa do MongoDB do seu cluster.

Você pode acessar a página de pesquisa do MongoDB na barra lateral, o Data Explorer ou a página de detalhes do cluster.

Na barra lateral, clique em Atlas Search sob o título Services.
Se você não tiver clusters, clique em Create cluster para criar um. Para saber mais, consulte Criar um cluster.
Se o seu projeto tiver vários clusters, selecione o cluster que deseja usar no menu suspenso Select cluster e clique em Go to Atlas Search.
A página Atlas Search é exibida.

Clique no botão Browse Collections para o seu cluster.
Expanda o banco de dados e selecione a coleção.
Clique na guia Search Indexes da coleção.
A página Atlas Search é exibida.

Clique no nome do seu cluster.
Clique na aba Atlas Search.
A página Atlas Search é exibida.

Clique em Create Search Index.

Inicie a configuração do seu índice.

Faça as seguintes seleções na página e clique em Next.

Search Type	Selecione o tipo de índice Vector Search.
Index Name and Data Source	Especifique as seguintes informações: Index Name: `vector_index` Database and Collection: `sample_mflix` database `embedded_movies` collection
Configuration Method	For a guided experience, select Visual Editor. To edit the raw index definition, select JSON Editor.

IMPORTANTE:

Seu índice do MongoDB Search é denominado default por padrão. Se você manter esse nome, seu índice será o índice de pesquisa padrão para qualquer consulta do MongoDB Search que não especifique uma opção index diferente em seus operadores. Se você estiver criando vários índices, recomendamos que mantenha uma convenção de nomenclatura descritiva consistente em seus índices.

Defina o índice do MongoDB Vector Search .

Nesta etapa, você define um índice do tipo vectorSearch para os seguintes campos:

plot_embedding_voyage_3_large campo como o tipo vetor. O campo plot_embedding_voyage_3_large contém incorporações criadas utilizando o modelo de incorporação voyage-3-large da Voyage AI. A definição de índice especifica 2048 dimensões vetoriais e mede a similaridade usando dotProduct.
genres campo como o tipo de filtro para pré-filtrar dados por valores de cadeia de caracteres no campo.
year campo como o tipo de filtro para pré-filtrar dados por valores numéricos no campo.

O Atlas detecta automaticamente campos que contêm incorporações vetoriais, assim como suas dimensões correspondentes. Para a coleção sample_mflix.embedded_movies, os campos plot_embedding e plot_embedding_voyage_3_large são exibidos. Para este tutorial, você precisa indexar apenas o campo plot_embedding_voyage_3_large.

Para configurar o índice, faça o seguinte:

Selecione Dot Product no menu suspenso Similarity Method.
Clique em Advanced, depois selecione a quantização Scalar no menu suspenso.
Na seção Filter Field, especifique os campos genres e year para filtrar os dados.

Substitua a definição padrão pela seguinte definição de índice.

1 {
2   "fields": [
3     {
4       "type": "vector",
5       "path": "plot_embedding_voyage_3_large",
6       "numDimensions": 2048,
7       "similarity": "dotProduct",
8       "quantization": "scalar"
9     },
10     {
11       "type": "filter",
12       "path": "genres"
13     },
14     {
15       "type": "filter",
16       "path": "year"
17     }
18   ]
19 }

Clique em Next para revisar o índice.

Clique em Create Vector Search Index.

O Atlas exibe uma janela modal para que você saiba que seu índice está crescendo.

Feche a janela modal You're All Set! clicando no botão Close.

Verifique o status.

O índice recém-criado é exibido na aba Atlas Search. Enquanto o índice está construindo, o campo Status lê Build in Progress. Quando o índice terminar de construir, o campo Status lê Active.

Observação

Collections maiores demoram mais tempo para indexar. Você receberá uma notificação por e-mail quando seu índice terminar a criação.

Conecte-se ao seu cluster no `mongosh`.

Abra o mongosh em uma janela do terminal e conecte-se ao seu cluster. Para obter instruções detalhadas sobre como conectar, consulte Conectar via mongosh.

Mude para o banco de dados em que deseja criar o índice.

Exemplo

use sample_mflix

switched to db sample_mflix

Execute o método `db.collection.createSearchIndex()`.

A definição de índice a seguir indexa o campo plot_embedding_voyage_3_large como o tipo vector e os campos genres e year como o tipo filter.

O campo plot_embedding_voyage_3_large contém incorporações de 2048 dimensões vetoriais criadas usando o modelo de incorporação voyage-3-large da Voyage AI. O índice mede a similaridade usando a função dotProduct.

1 db.embedded_movies.createSearchIndex(
2   "vector_index", 
3   "vectorSearch", 
4   {
5     "fields": [
6       {
7         "type": "vector",
8         "path": "plot_embedding_voyage_3_large",
9         "numDimensions": 2048,
10         "similarity": "dotProduct"
11       },
12       {
13         "type": "filter",
14         "path": "genres"
15       },
16       {
17         "type": "filter",
18         "path": "year"
19       }
20     ]
21   }
22 );

Adicione o driver C# do MongoDB ao seu projeto .NET.

Adicione o Driver C# do MongoDB como dependência no seu projeto:

dotnet add package MongoDB.Driver

Defina o índice.

Crie um arquivo denominado IndexService.cs e copie e cole o seguinte código no arquivo.

Essa definição de índice indexa o campo plot_embedding_voyage_3_large como o tipo vector e os campos genres e year como o tipo filter em um índice do MongoDB Vector Search . O campo plot_embedding_voyage_3_large contém incorporações criadas usando o modelo de incorporação voyage-3-large da Voyage AI. A definição de índice especifica 2048 dimensões vetoriais e mede a similaridade usando a função dotProduct.

IndexService.cs

1 namespace query_quick_start;
2 
3 using MongoDB.Bson;
4 using MongoDB.Driver;
5 using System;
6 using System.Threading;
7 
8 public class IndexService
9 {
10     // Replace the placeholder with your Atlas connection string
11     private const string MongoConnectionString = "<connection-string>";
12     public void CreateVectorIndex()
13     {
14         try
15         {
16             // Connect to your Atlas cluster
17             var client = new MongoClient(MongoConnectionString);
18             var database = client.GetDatabase("sample_mflix");
19             var collection = database.GetCollection<BsonDocument>("embedded_movies");
20 
21             var searchIndexView = collection.SearchIndexes;
22             var name = "vector_index";
23             var type = SearchIndexType.VectorSearch;
24 
25             var definition = new BsonDocument
26             {
27                 { "fields", new BsonArray
28                     {
29                         new BsonDocument
30                         {
31                             { "type", "vector" },
32                             { "path", "plot_embedding_voyage_3_large" },
33                             { "numDimensions", 2048 },
34                             { "similarity", "dotProduct" },
35                             { "quantization", "scalar"}
36                         },
37                         new BsonDocument
38                         {
39                             {"type", "filter"},
40                             {"path", "genres"}
41                         },
42                         new BsonDocument
43                         {
44                             {"type", "filter"},
45                             {"path", "year"}
46                         }
47                     }
48                 }
49             };
50 
51             var model = new CreateSearchIndexModel(name, type, definition);
52 
53             searchIndexView.CreateOne(model);
54             Console.WriteLine($"New search index named {name} is building.");
55 
56             // Polling for index status
57             Console.WriteLine("Polling to check if the index is ready. This may take up to a minute.");
58             bool queryable = false;
59             while (!queryable)
60             {
61                 var indexes = searchIndexView.List();
62                 foreach (var index in indexes.ToEnumerable())
63                 {
64                     if (index["name"] == name)
65                     {
66                         queryable = index["queryable"].AsBoolean;
67                     }
68                 }
69                 if (!queryable)
70                 {
71                     Thread.Sleep(5000);
72                 }
73             }
74             Console.WriteLine($"{name} is ready for querying.");
75         }
76         catch (Exception e)
77         {
78             Console.WriteLine($"Exception: {e.Message}");
79         }
80     }
81 }

Substitua o `<connection-string>` no código e salve o arquivo.

Substitua <connection-string> pela string de conexão do seu cluster do Atlas ou da implantação local do Atlas.

Sua string de conexão deve usar o seguinte formato:

mongodb+srv://<db_username>:<db_password>@<clusterName>.<hostname>.mongodb.net

Para saber mais, consulte Conectar a um cluster via drivers.

Sua string de conexão deve usar o seguinte formato:

mongodb://localhost:<port-number>/?directConnection=true

Para saber mais, consulte Connection strings.

Update `Program.cs`.

Atualize Program.cs para inicializar o IndexService e chame o método para criar o índice.

Program.cs

using query_quick_start;
var indexService = new IndexService();
indexService.CreateVectorIndex();

Salve e execute o projeto.

Salve o arquivo e, em seguida, compile e execute seu projeto para criar o índice.

dotnet run query_quick_start.csproj

New search index named vector_index is building.
Polling to check if the index is ready. This may take up to a minute.
vector_index is ready for querying.

Adicione o Driver Go ao seu projeto.

Adicione o Driver Go como dependência no seu projeto:

go get go.mongodb.org/mongo-driver/v2/mongo

Defina o índice.

Crie um arquivo denominado vector-index.go e copie e cole o seguinte código no arquivo.

vector-index.go

1 package main
2 
3 import (
4 	"context"
5 	"fmt"
6 	"log"
7 	"time"
8 
9 	"go.mongodb.org/mongo-driver/v2/bson"
10 	"go.mongodb.org/mongo-driver/v2/mongo"
11 	"go.mongodb.org/mongo-driver/v2/mongo/options"
12 )
13 
14 func main() {
15 	ctx := context.Background()
16 
17 	// Replace the placeholder with your Atlas connection string
18 	const uri = "<connectionString>"
19 
20 	// Connect to your Atlas cluster
21 	clientOptions := options.Client().ApplyURI(uri)
22 	client, err := mongo.Connect(clientOptions)
23 	if err != nil {
24 		log.Fatalf("failed to connect to the server: %v", err)
25 	}
26 	defer func() { _ = client.Disconnect(ctx) }()
27 
28 	// Set the namespace
29 	coll := client.Database("sample_mflix").Collection("embedded_movies")
30 	indexName := "vector_index"
31 	opts := options.SearchIndexes().SetName(indexName).SetType("vectorSearch")
32 
33 	type vectorDefinitionField struct {
34 		Type          string `bson:"type"`
35 		Path          string `bson:"path"`
36 		NumDimensions int    `bson:"numDimensions"`
37 		Similarity    string `bson:"similarity"`
38 		Quantization  string `bson:"quantization"`
39 	}
40 
41 	type filterField struct {
42 		Type string `bson:"type"`
43 		Path string `bson:"path"`
44 	}
45 
46 	type indexDefinition struct {
47 		Fields []vectorDefinitionField `bson:"fields"`
48 	}
49 
50 	vectorDefinition := vectorDefinitionField{
51 		Type:          "vector",
52 		Path:          "plot_embedding_voyage_3_large",
53 		NumDimensions: 2048,
54 		Similarity:    "dotProduct",
55 		Quantization:  "scalar"}
56 	genreFilterDefinition := filterField{"filter", "genres"}
57 	yearFilterDefinition := filterField{"filter", "year"}
58 
59 	indexModel := mongo.SearchIndexModel{
60 		Definition: bson.D{{Key: "fields", Value: [3]interface{}{
61 			vectorDefinition,
62 			genreFilterDefinition,
63 			yearFilterDefinition}}},
64 		Options: opts,
65 	}
66 
67 	// Create the index
68 	searchIndexName, err := coll.SearchIndexes().CreateOne(ctx, indexModel)
69 	if err != nil {
70 		log.Fatalf("failed to create the search index: %v", err)
71 	}
72 	log.Println("New search index named " + searchIndexName + " is building.")
73 
74 	// Await the creation of the index.
75 	log.Println("Polling to check if the index is ready. This may take up to a minute.")
76 	searchIndexes := coll.SearchIndexes()
77 	var doc bson.Raw
78 	for doc == nil {
79 		cursor, err := searchIndexes.List(ctx, options.SearchIndexes().SetName(searchIndexName))
80 		if err != nil {
81 			fmt.Errorf("failed to list search indexes: %w", err)
82 		}
83 
84 		if !cursor.Next(ctx) {
85 			break
86 		}
87 
88 		name := cursor.Current.Lookup("name").StringValue()
89 		queryable := cursor.Current.Lookup("queryable").Boolean()
90 		if name == searchIndexName && queryable {
91 			doc = cursor.Current
92 		} else {
93 			time.Sleep(5 * time.Second)
94 		}
95 	}
96 
97 	log.Println(searchIndexName + " is ready for querying.")
98 }

Substitua o `<connection-string>` no código e salve o arquivo.

Substitua <connection-string> pela string de conexão do seu cluster do Atlas ou da implantação local do Atlas.

Sua string de conexão deve usar o seguinte formato:

mongodb+srv://<db_username>:<db_password>@<clusterName>.<hostname>.mongodb.net

Para saber mais, consulte Conectar a um cluster via drivers.

Sua string de conexão deve usar o seguinte formato:

mongodb://localhost:<port-number>/?directConnection=true

Para saber mais, consulte Connection strings.

Execute o seguinte comando para criar o índice.

go run vector-index.go

2024/10/17 09:38:21 Creating the index.
2024/10/17 09:38:22 Polling to confirm successful index creation.
2024/10/17 09:38:22 NOTE: This may take up to a minute.
2024/10/17 09:38:48 Name of Index Created: vector_index

Adicione o Java Sync Driver do MongoDB ao seu projeto.

Adicione a versão do driver Java 5.2 ou superior como uma dependência no seu projeto, dependendo do seu gerenciador de pacotes:

Se você estiver utilizando o Maven, adicione as seguintes dependências à array dependencies no arquivo pom.xml do seu projeto:

pom.xml

<dependencies>
   <!-- MongoDB Java Sync Driver v5.2.0 or later -->
   <dependency>
      <groupId>org.mongodb</groupId>
      <artifactId>mongodb-driver-sync</artifactId>
      <version>[5.2.0,)</version>
   </dependency>
</dependencies>

Execute seu gerenciador de pacote para instalar as dependências em seu projeto.

Para obter instruções de instalação mais detalhadas e compatibilidade de versões, consulte a documentação do MongoDB Java Driver.

Defina o índice.

Crie um arquivo denominado VectorIndex.java e copie e cole o seguinte código no arquivo.

VectorIndex.java

1 import com.mongodb.client.MongoClient;
2 import com.mongodb.client.MongoClients;
3 import com.mongodb.client.MongoCollection;
4 import com.mongodb.client.MongoDatabase;
5 import com.mongodb.client.model.SearchIndexModel;
6 import com.mongodb.client.model.SearchIndexType;
7 import org.bson.Document;
8 import org.bson.conversions.Bson;
9 
10 import java.util.Arrays;
11 import java.util.Collections;
12 import java.util.List;
13 
14 public class VectorIndex {
15 
16     public static void main(String[] args) {
17 
18         // Replace the placeholder with your Atlas connection string
19         String uri = "<connectionString>";
20 
21         // Connect to your Atlas cluster
22         try (MongoClient mongoClient = MongoClients.create(uri)) {
23 
24             // Set the namespace
25             MongoDatabase database = mongoClient.getDatabase("sample_mflix");
26             MongoCollection<Document> collection = database.getCollection("embedded_movies");
27 
28             // Define the index details with the filter fields
29             String indexName = "vector_index";
30             Bson definition = new Document(
31                 "fields",
32                 Arrays.asList(
33                     new Document("type", "vector")
34                         .append("path", "plot_embedding_voyage_3_large")
35                         .append("numDimensions", 2048)
36                         .append("similarity", "dotProduct")
37                         .append("quantization", "scalar"),
38                     new Document("type", "filter")
39                         .append("path", "genres"),
40                     new Document("type", "filter")
41                         .append("path", "year")));
42 
43             // Define the index model
44             SearchIndexModel indexModel = new SearchIndexModel(
45                 indexName,
46                 definition,
47                 SearchIndexType.vectorSearch());
48 
49             // Create the index using the defined model
50             List<String> result = collection.createSearchIndexes(Collections.singletonList(indexModel));
51             System.out.println("Successfully created vector index named: " + result.get(0));
52             System.out.println("It may take up to a minute for the index to leave the BUILDING status and become queryable.");
53 
54             // Wait for index to build and become queryable
55             System.out.println("Polling to confirm the index has left the BUILDING status.");
56             // No special handling in case of a timeout. Custom handling can be implemented.
57             waitForIndex(collection, indexName);
58         }
59     }
60 
61     /**
62      * Polls the collection to check whether the specified index is ready to query.
63      */
64     public static <T> boolean waitForIndex(final MongoCollection<T> collection, final String indexName) {
65         long startTime = System.nanoTime();
66         long timeoutNanos = TimeUnit.SECONDS.toNanos(60);
67         while (System.nanoTime() - startTime < timeoutNanos) {
68             Document indexRecord = StreamSupport.stream(collection.listSearchIndexes().spliterator(), false)
69                     .filter(index -> indexName.equals(index.getString("name")))
70                     .findAny().orElse(null);
71             if (indexRecord != null) {
72                 if ("FAILED".equals(indexRecord.getString("status"))) {
73                     throw new RuntimeException("Search index has FAILED status.");
74                 }
75                 if (indexRecord.getBoolean("queryable")) {
76                     System.out.println(indexName + " index is ready to query");
77                     return true;
78                 }
79             }
80             try {
81                 Thread.sleep(100); // busy-wait, avoid in production
82             } catch (InterruptedException e) {
83                 Thread.currentThread().interrupt();
84                 throw new RuntimeException(e);
85             }
86         }
87         return false;
88     }
89 }

Substitua o `<connection-string>` no código e salve o arquivo.

Substitua <connection-string> pela string de conexão do seu cluster do Atlas ou da implantação local do Atlas.

Sua string de conexão deve usar o seguinte formato:

mongodb+srv://<db_username>:<db_password>@<clusterName>.<hostname>.mongodb.net

Para saber mais, consulte Conectar a um cluster via drivers.

Sua string de conexão deve usar o seguinte formato:

mongodb://localhost:<port-number>/?directConnection=true

Para saber mais, consulte Connection strings.

Execute o arquivo para criar o índice.

Execute o arquivo no seu IDE ou execute um comando a partir da linha de comando para executar o código.

javac VectorIndex.java
java VectorIndex

Successfully created a vector index named: [vector_index]
It may take up to a minute for the index to build before you can query using it.
Polling to confirm the index has completed building.
vector_index index is ready to query

Adicione o Driver Node.js do MongoDB ao seu projeto.

Adicione o Driver Node do MongoDB como dependência no seu projeto:

npm install mongodb

Dica

Os exemplos nesta página pressupõem que seu projeto gerencia módulos como CommonJS. Se estiver usando módulos ES, você deverá modificar a sintaxe de importação.

Defina o índice.

Crie um arquivo denominado vector-index.js e copie e cole o seguinte código no arquivo.

vector-index.js

1 const { MongoClient } = require("mongodb");
2 
3 // connect to your Atlas deployment
4 const uri =  "<connectionString>";
5 
6 const client = new MongoClient(uri);
7 
8 async function run() {
9    try {
10      const database = client.db("sample_mflix");
11      const collection = database.collection("embedded_movies");
12     
13      // define your MongoDB Vector Search index
14      const index = {
15          name: "vector_index",
16          type: "vectorSearch",
17          definition: {
18            "fields": [
19              {
20                "type": "vector",
21                "numDimensions": 2048,
22                "path": "plot_embedding_voyage_3_large",
23                "similarity": "dotProduct",
24                "quantization": "scalar"
25              },
26              {
27                "type": "filter",
28                "path": "genres"
29              },
30              {
31                "type": "filter",
32                "path": "year"
33              }
34            ]
35          }
36      }
37 
38      // run the helper method
39      const result = await collection.createSearchIndex(index);
40      console.log(`New search index named ${result} is building.`);
41 
42      // wait for the index to be ready to query
43      console.log("Polling to check if the index is ready. This may take up to a minute.")
44      let isQueryable = false;
45      while (!isQueryable) {
46        const cursor = collection.listSearchIndexes();
47        for await (const index of cursor) {
48          if (index.name === result) {
49            if (index.queryable) {
50              console.log(`${result} is ready for querying.`);
51              isQueryable = true;
52            } else {
53              await new Promise(resolve => setTimeout(resolve, 5000));
54            }
55          }
56        }
57      }
58    } finally {
59      await client.close();
60    }
61 }
62 run().catch(console.dir);

Substitua o `<connection-string>` no código e salve o arquivo.

Substitua <connection-string> pela string de conexão do seu cluster do Atlas ou da implantação local do Atlas.

Sua string de conexão deve usar o seguinte formato:

mongodb+srv://<db_username>:<db_password>@<clusterName>.<hostname>.mongodb.net

Para saber mais, consulte Conectar a um cluster via drivers.

Sua string de conexão deve usar o seguinte formato:

mongodb://localhost:<port-number>/?directConnection=true

Para saber mais, consulte Connection strings.

Execute o seguinte comando para criar o índice.

node vector-index.js

vector_index

Adicione o Driver PyMongo ao seu projeto.

Adicione o Driver PyMongo como dependência no seu projeto:

pip install pymongo

Defina o índice.

Crie um arquivo denominado vector-index.py e copie e cole o seguinte código no arquivo.

Essa definição de índice indexa o campo plot_embedding_voyage_3_large como o tipo vector e os campos genres e year como o tipo filter em um índice do MongoDB Vector Search . O campo plot_embedding_voyage_3_large contém incorporações criadas usando o modelo de incorporação voyage-3-large da Voyage AI. A definição de índice especifica 2048 dimensões vetoriais, mede a similaridade usando a função dotProduct e permite a quantização automática scalar para o processamento eficiente de seus vetores.

vector-index.py

1 from pymongo.mongo_client import MongoClient
2 from pymongo.operations import SearchIndexModel
3 import time
4 
5 # Connect to your Atlas deployment
6 uri = "<connectionString>"
7 client = MongoClient(uri)
8 
9 # Access your database and collection
10 database = client["sample_mflix"]
11 collection = database["embedded_movies"]
12 
13 # Create your index model, then create the search index
14 search_index_model = SearchIndexModel(
15   definition={
16     "fields": [
17       {
18         "type": "vector",
19         "path": "plot_embedding_voyage_3_large",
20         "numDimensions": 2048,
21         "similarity": "dotProduct",
22         "quantization": "scalar"
23       },
24       {
25         "type": "filter",
26         "path": "genres"
27       },
28       {
29         "type": "filter",
30         "path": "year"
31       }
32     ]
33   },
34   name="vector_index",
35   type="vectorSearch"
36 )
37 
38 result = collection.create_search_index(model=search_index_model)
39 print("New search index named " + result + " is building.")
40 
41 # Wait for initial sync to complete
42 print("Polling to check if the index is ready. This may take up to a minute.")
43 predicate=None
44 if predicate is None:
45   predicate = lambda index: index.get("queryable") is True
46 
47 while True:
48   indices = list(collection.list_search_indexes(result))
49   if len(indices) and predicate(indices[0]):
50     break
51   time.sleep(5)
52 print(result + " is ready for querying.")
53 
54 client.close()

Substitua o `<connection-string>` no código e salve o arquivo.

Substitua <connection-string> pela string de conexão do seu cluster do Atlas ou da implantação local do Atlas.

Sua string de conexão deve usar o seguinte formato:

mongodb+srv://<db_username>:<db_password>@<clusterName>.<hostname>.mongodb.net

Para saber mais, consulte Conectar a um cluster via drivers.

Sua string de conexão deve usar o seguinte formato:

mongodb://localhost:<port-number>/?directConnection=true

Para saber mais, consulte Connection strings.

Execute o seguinte comando para criar o índice.

python vector-index.py

vector_index

Executar queries usando a fase do pipeline de agregação `$vectorSearch`

Visão geral

Esta seção demonstra como consultar os dados de vetores indexados na coleção sample_mflix.embedded_movies usando o estágio $vectorSearch. Essas queries de amostra também demonstram os vários operadores de pipeline de agregação e query que podemos usar na query para pré-filtrar os dados nos quais realizamos a pesquisa semântica.

Procedimento

Prepare suas incorporações de query.

Salve as seguintes incorporações em um arquivo chamado query-embeddings.js:

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Conecte-se ao seu cluster no `mongosh`.

Abra o mongosh em uma janela do terminal e conecte-se ao seu cluster. Para obter instruções detalhadas sobre como conectar, consulte Conectar via mongosh.

Carregue as incorporações da query no `mongosh`.

Carregue o arquivo em mongosh para usar as incorporações na sua query:

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

Mudar para o banco de dados `sample_mflix`.

use sample_mflix

switched to db sample_mflix

Execute a query semântica do Atlas Search nos campos indexados.

As queries a seguir usam o estágio do pipeline $vectorSearch para pesquisar filmes que correspondam às incorporações de vetor especificadas. As queries especificam uma pesquisa para até 100 vizinhos mais próximos e limitam os resultados somente para 10 documentos. As queries também especificam um estágio $project para executar as seguintes ações:

Exclua o campo _id e inclua somente os campos title, genres, plot e year nos resultados.
Adicionar um campo chamado score que exibe a pontuação da pesquisa vetorial para cada documento nos resultados.

A query a seguir pesquisa o campo plot_embedding_voyage_3_large usando as incorporações vetoriais para a string aventura infantil. Ela especifica vários operadores de query de comparação por campo para pré-filtrar os documentos nos quais executar a pesquisar semântica.

O filtro usa o operador de pipeline de agregação $and para localizar documentos de filme que correspondam aos seguintes critérios:

Filtre pelo campo genres para encontrar filmes que não estão no gênero drama, western ou crime, mas sim no gênero action, adventure ou family.
Filtre pelo campo year para encontrar filmes que foram lançados entre os anos 1960 e 2000.

1 db.embedded_movies.aggregate([
2   {
3     "$vectorSearch": {
4       "index": "vector_index",
5       "path": "plot_embedding_voyage_3_large",
6       "filter": {
7         "$and": [{
8           "genres": { 
9             "$nin": ["Drama", "Western", "Crime"],
10             "$in": ["Action", "Adventure", "Family"]
11           }, 
12         }, {
13           "year": { 
14             "$gte": 1960,
15             "$lte": 2000 
16           }
17         }]
18       },
19       "queryVector": KIDS_ADVENTURE_EMBEDDING,
20       "numCandidates": 200,
21       "limit": 10
22     }
23   },
24   {
25     "$project": {
26       "_id": 0,
27       "title": 1,
28       "genres": 1,
29       "plot": 1,
30       "year": 1,
31       "score": { $meta: "vectorSearchScore" }
32     }
33   }
34 ])

1 [
2   {
3     plot: 'Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...',
4     genres: [ 'Action', 'Adventure', 'Comedy' ],
5     title: '3 Ninjas: High Noon at Mega Mountain',
6     year: 1998,
7     score: 0.7746343612670898
8   },
9   {
10     plot: "A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...",
11     genres: [ 'Action', 'Adventure', 'Family' ],
12     title: 'White Wolves: A Cry in the Wild II',
13     year: 1993,
14     score: 0.770106315612793
15   },
16   {
17     plot: 'A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.',
18     genres: [ 'Action', 'Adventure', 'Sci-Fi' ],
19     title: 'Space Raiders',
20     year: 1983,
21     score: 0.7569591999053955
22   },
23   {
24     plot: 'Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.',
25     genres: [ 'Adventure', 'Family', 'Fantasy' ],
26     title: 'The Ewok Adventure',
27     year: 1984,
28     score: 0.7515435218811035
29   },
30   {
31     plot: 'A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.',
32     genres: [ 'Adventure', 'Comedy', 'Fantasy' ],
33     title: 'Time Bandits',
34     year: 1981,
35     score: 0.7513599395751953
36   },
37   {
38     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.',
39     genres: [ 'Adventure', 'Family', 'Fantasy' ],
40     title: 'Chitty Chitty Bang Bang',
41     year: 1968,
42     score: 0.7492260932922363
43   },
44   {
45     plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.',
46     genres: [ 'Action', 'Adventure', 'Comedy' ],
47     title: 'Forest Warrior',
48     year: 1996,
49     score: 0.7473714351654053
50   },
51   {
52     plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.',
53     genres: [ 'Action', 'Adventure', 'Comedy' ],
54     title: 'Forest Warrior',
55     year: 1996,
56     score: 0.7473714351654053
57   },
58   {
59     plot: 'A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.',
60     genres: [ 'Action', 'Fantasy', 'Adventure' ],
61     title: 'Warriors of Virtue',
62     year: 1997,
63     score: 0.7464213371276855
64   },
65   {
66     plot: 'A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...',
67     genres: [ 'Animation', 'Adventure', 'Fantasy' ],
68     title: 'Taxandria',
69     year: 1994,
70     score: 0.7453246116638184
71   }
72 ]

A query a seguir pesquisa o campo plot_embedding_voyage_3_large usando as incorporações vetoriais para a string star wars. Ela especifica operadores de pipeline de agregação e de query de comparação para demonstrar um uso combinado dos operadores para filtrar os dados.

O filtro usa o operador de pipeline de agregação $or para localizar documentos de filme que correspondam a um dos seguintes critérios:

Filtre pelo campo genres para encontrar filmes que não são do gênero crime .
Filtre pelo campo year para encontrar filmes lançados no ano 2015 ou antes e pelo campo genres para encontrar filmes do gênero action .

1 db.embedded_movies.aggregate([
2   {
3     "$vectorSearch": {
4       "index": "vector_index",
5       "path": "plot_embedding_voyage_3_large",
6       "filter": {
7         "$or": [{
8           "genres": { "$ne": "Crime" }
9         }, {
10           "$and": [{
11             "year": { "$lte": 2015 }
12           }, {
13             "genres": { "$eq": "Action" }
14           }]
15         }]
16       },
17       "queryVector": STAR_WARS_EMBEDDING,
18       "numCandidates": 200,
19       "limit": 10
20     }
21   },
22   {
23     "$project": {
24       "_id": 0,
25       "title": 1,
26       "genres": 1,
27       "plot": 1,
28       "released": 1,
29       "score": { $meta: "vectorSearchScore" }
30     }
31   }
32 ])

1 [
2   {
3     plot: "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.",
4     genres: [ 'Action', 'Adventure', 'Fantasy' ],
5     title: 'Star Wars: Episode IV - A New Hope',
6     released: ISODate('1977-05-25T00:00:00.000Z'),
7     score: 0.79868483543396
8   },
9   {
10     plot: "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.",
11     genres: [ 'Action', 'Adventure', 'Sci-Fi' ],
12     title: 'Dune',
13     released: ISODate('1984-12-14T00:00:00.000Z'),
14     score: 0.7949700355529785
15   },
16   {
17     plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...',
18     genres: [ 'Action', 'Adventure', 'Sci-Fi' ],
19     title: 'Message from Space',
20     released: ISODate('1978-10-30T00:00:00.000Z'),
21     score: 0.7913978099822998
22   },
23   {
24     plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...',
25     genres: [ 'Action', 'Adventure', 'Sci-Fi' ],
26     title: 'Message from Space',
27     released: ISODate('1978-10-30T00:00:00.000Z'),
28     score: 0.7913978099822998
29   },
30   {
31     plot: 'After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.',
32     genres: [ 'Action', 'Adventure', 'Fantasy' ],
33     title: 'Star Wars: Episode V - The Empire Strikes Back',
34     released: ISODate('1980-06-20T00:00:00.000Z'),
35     score: 0.7809884548187256
36   },
37   {
38     plot: 'After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.',
39     genres: [ 'Action', 'Adventure', 'Fantasy' ],
40     title: 'Star Wars: Episode VI - Return of the Jedi',
41     released: ISODate('1983-05-25T00:00:00.000Z'),
42     score: 0.7784996032714844
43   },
44   {
45     plot: 'Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.',
46     genres: [ 'Action', 'Adventure', 'Fantasy' ],
47     title: 'Star Wars: Episode I - The Phantom Menace',
48     released: ISODate('1999-05-19T00:00:00.000Z'),
49     score: 0.7766742706298828
50   },
51   {
52     plot: 'The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...',
53     genres: [ 'Adventure', 'Family', 'Fantasy' ],
54     title: 'Ewoks: The Battle for Endor',
55     released: ISODate('1985-11-24T00:00:00.000Z'),
56     score: 0.7676119804382324
57   },
58   {
59     plot: 'A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.',
60     genres: [ 'Action', 'Adventure', 'Fantasy' ],
61     title: 'Krull',
62     released: ISODate('1983-07-29T00:00:00.000Z'),
63     score: 0.7624373435974121
64   },
65   {
66     plot: 'An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.',
67     genres: [ 'Action', 'Adventure', 'Fantasy' ],
68     title: 'Starcrash',
69     released: ISODate('1979-03-09T00:00:00.000Z'),
70     score: 0.7582714557647705
71   }
72 ]

Prepare suas incorporações de query.

Salve as seguintes incorporações em um arquivo chamado query-embeddings.js:

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Conecte-se ao seu cluster no `mongosh`.

Abra o mongosh em uma janela do terminal e conecte-se ao seu cluster. Para obter instruções detalhadas sobre como conectar, consulte Conectar via mongosh.

Carregue as incorporações da query no `mongosh`.

Carregue o arquivo em mongosh para usar as incorporações na sua query:

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

Mudar para o banco de dados `sample_mflix`.

use sample_mflix

switched to db sample_mflix

Execute a query semântica do Atlas Search nos campos indexados.

Exclua o campo _id e inclua somente os campos title, genres, plot e year nos resultados.
Adicionar um campo chamado score que exibe a pontuação da pesquisa vetorial para cada documento nos resultados.

O filtro usa o operador de pipeline de agregação $and para localizar documentos de filme que correspondam aos seguintes critérios:

Filtre pelo campo genres para encontrar filmes que não estão no gênero drama, western ou crime, mas sim no gênero action, adventure ou family.
Filtre pelo campo year para encontrar filmes que foram lançados entre os anos 1960 e 2000.

1 db.embedded_movies.aggregate([
2   {
3     "$vectorSearch": {
4       "index": "vector_index",
5       "path": "plot_embedding_voyage_3_large",
6       "filter": {
7         "$and": [{
8           "genres": { 
9             "$nin": ["Drama", "Western", "Crime"],
10             "$in": ["Action", "Adventure", "Family"]
11           }, 
12         }, {
13           "year": { 
14             "$gte": 1960,
15             "$lte": 2000 
16           }
17         }]
18       },
19       "queryVector": KIDS_ADVENTURE_EMBEDDING,
20       "numCandidates": 200,
21       "limit": 10
22     }
23   },
24   {
25     "$project": {
26       "_id": 0,
27       "title": 1,
28       "genres": 1,
29       "plot": 1,
30       "year": 1,
31       "score": { $meta: "vectorSearchScore" }
32     }
33   }
34 ])

1 [
2   {
3     plot: 'Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...',
4     genres: [ 'Action', 'Adventure', 'Comedy' ],
5     title: '3 Ninjas: High Noon at Mega Mountain',
6     year: 1998,
7     score: 0.7746343612670898
8   },
9   {
10     plot: "A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...",
11     genres: [ 'Action', 'Adventure', 'Family' ],
12     title: 'White Wolves: A Cry in the Wild II',
13     year: 1993,
14     score: 0.770106315612793
15   },
16   {
17     plot: 'A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.',
18     genres: [ 'Action', 'Adventure', 'Sci-Fi' ],
19     title: 'Space Raiders',
20     year: 1983,
21     score: 0.7569591999053955
22   },
23   {
24     plot: 'Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.',
25     genres: [ 'Adventure', 'Family', 'Fantasy' ],
26     title: 'The Ewok Adventure',
27     year: 1984,
28     score: 0.7515435218811035
29   },
30   {
31     plot: 'A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.',
32     genres: [ 'Adventure', 'Comedy', 'Fantasy' ],
33     title: 'Time Bandits',
34     year: 1981,
35     score: 0.7513599395751953
36   },
37   {
38     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.',
39     genres: [ 'Adventure', 'Family', 'Fantasy' ],
40     title: 'Chitty Chitty Bang Bang',
41     year: 1968,
42     score: 0.7492260932922363
43   },
44   {
45     plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.',
46     genres: [ 'Action', 'Adventure', 'Comedy' ],
47     title: 'Forest Warrior',
48     year: 1996,
49     score: 0.7473714351654053
50   },
51   {
52     plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.',
53     genres: [ 'Action', 'Adventure', 'Comedy' ],
54     title: 'Forest Warrior',
55     year: 1996,
56     score: 0.7473714351654053
57   },
58   {
59     plot: 'A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.',
60     genres: [ 'Action', 'Fantasy', 'Adventure' ],
61     title: 'Warriors of Virtue',
62     year: 1997,
63     score: 0.7464213371276855
64   },
65   {
66     plot: 'A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...',
67     genres: [ 'Animation', 'Adventure', 'Fantasy' ],
68     title: 'Taxandria',
69     year: 1994,
70     score: 0.7453246116638184
71   }
72 ]

O filtro usa o operador de pipeline de agregação $or para localizar documentos de filme que correspondam a um dos seguintes critérios:

Filtre pelo campo genres para encontrar filmes que não são do gênero crime .
Filtre pelo campo year para encontrar filmes lançados no ano 2015 ou antes e pelo campo genres para encontrar filmes do gênero action .

1 db.embedded_movies.aggregate([
2   {
3     "$vectorSearch": {
4       "index": "vector_index",
5       "path": "plot_embedding_voyage_3_large",
6       "filter": {
7         "$or": [{
8           "genres": { "$ne": "Crime" }
9         }, {
10           "$and": [{
11             "year": { "$lte": 2015 }
12           }, {
13             "genres": { "$eq": "Action" }
14           }]
15         }]
16       },
17       "queryVector": STAR_WARS_EMBEDDING,
18       "numCandidates": 200,
19       "limit": 10
20     }
21   },
22   {
23     "$project": {
24       "_id": 0,
25       "title": 1,
26       "genres": 1,
27       "plot": 1,
28       "released": 1,
29       "score": { $meta: "vectorSearchScore" }
30     }
31   }
32 ])

1 [
2   {
3     plot: "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.",
4     genres: [ 'Action', 'Adventure', 'Fantasy' ],
5     title: 'Star Wars: Episode IV - A New Hope',
6     released: ISODate('1977-05-25T00:00:00.000Z'),
7     score: 0.79868483543396
8   },
9   {
10     plot: "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.",
11     genres: [ 'Action', 'Adventure', 'Sci-Fi' ],
12     title: 'Dune',
13     released: ISODate('1984-12-14T00:00:00.000Z'),
14     score: 0.7949700355529785
15   },
16   {
17     plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...',
18     genres: [ 'Action', 'Adventure', 'Sci-Fi' ],
19     title: 'Message from Space',
20     released: ISODate('1978-10-30T00:00:00.000Z'),
21     score: 0.7913978099822998
22   },
23   {
24     plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...',
25     genres: [ 'Action', 'Adventure', 'Sci-Fi' ],
26     title: 'Message from Space',
27     released: ISODate('1978-10-30T00:00:00.000Z'),
28     score: 0.7913978099822998
29   },
30   {
31     plot: 'After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.',
32     genres: [ 'Action', 'Adventure', 'Fantasy' ],
33     title: 'Star Wars: Episode V - The Empire Strikes Back',
34     released: ISODate('1980-06-20T00:00:00.000Z'),
35     score: 0.7809884548187256
36   },
37   {
38     plot: 'After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.',
39     genres: [ 'Action', 'Adventure', 'Fantasy' ],
40     title: 'Star Wars: Episode VI - Return of the Jedi',
41     released: ISODate('1983-05-25T00:00:00.000Z'),
42     score: 0.7784996032714844
43   },
44   {
45     plot: 'Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.',
46     genres: [ 'Action', 'Adventure', 'Fantasy' ],
47     title: 'Star Wars: Episode I - The Phantom Menace',
48     released: ISODate('1999-05-19T00:00:00.000Z'),
49     score: 0.7766742706298828
50   },
51   {
52     plot: 'The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...',
53     genres: [ 'Adventure', 'Family', 'Fantasy' ],
54     title: 'Ewoks: The Battle for Endor',
55     released: ISODate('1985-11-24T00:00:00.000Z'),
56     score: 0.7676119804382324
57   },
58   {
59     plot: 'A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.',
60     genres: [ 'Action', 'Adventure', 'Fantasy' ],
61     title: 'Krull',
62     released: ISODate('1983-07-29T00:00:00.000Z'),
63     score: 0.7624373435974121
64   },
65   {
66     plot: 'An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.',
67     genres: [ 'Action', 'Adventure', 'Fantasy' ],
68     title: 'Starcrash',
69     released: ISODate('1979-03-09T00:00:00.000Z'),
70     score: 0.7582714557647705
71   }
72 ]

Crie um arquivo denominado `DataService.cs`.

Copie e cole o código do operador pré-filtro que deseja testar no arquivo `DataService.cs`.

Exclua o campo _id e inclua somente os campos title, genres, plot e year nos resultados.
Adicionar um campo chamado score que exibe a pontuação da pesquisa vetorial para cada documento nos resultados.

O filtro usa o operador de pipeline de agregação $and para localizar documentos de filme que correspondam aos seguintes critérios:

Filtre pelo campo genres para encontrar filmes que não estão no gênero drama, western ou crime, mas sim no gênero action, adventure ou family.
Filtre pelo campo year para encontrar filmes que foram lançados entre os anos 1960 e 2000.

DataService.cs

1 namespace query_quick_start;
2 
3 using MongoDB.Driver;
4 using MongoDB.Bson;
5 
6 public class DataService
7 {
8     private const string ConnectionString = "<connection-string>";
9     private static readonly MongoClient Client = new MongoClient(ConnectionString);
10     private static readonly IMongoDatabase Database = Client.GetDatabase("sample_mflix");
11     private static readonly IMongoCollection<BsonDocument> Collection = Database.GetCollection<BsonDocument>("embedded_movies");
12     
13     public List<BsonDocument>? PerformVectorQuery()
14     {
15         double[] queryVector = {
16             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17         };
18         var filter = Builders<BsonDocument>.Filter.And(
19             Builders<BsonDocument>.Filter.And(
20                 Builders<BsonDocument>.Filter.Nin("genres", ["Drama", "Western", "Crime"]),
21                 Builders<BsonDocument>.Filter.In("genres", ["Action", "Adventure", "Family"])
22             ),
23             Builders<BsonDocument>.Filter.And(
24                 Builders<BsonDocument>.Filter.Gte("year", 1960),
25                 Builders<BsonDocument>.Filter.Lte("year", 2000)
26             )
27         );
28   
29         var options = new VectorSearchOptions<BsonDocument>()
30         {
31             IndexName = "vector_index",
32             Filter = filter,
33             NumberOfCandidates = 200,
34         };
35         
36         var pipeline = new EmptyPipelineDefinition<BsonDocument>()
37             .VectorSearch("plot_embedding_voyage_3_large", queryVector, 10, options)
38             .Project(Builders<BsonDocument>.Projection
39                 .Exclude("_id")
40                 .Include("title")
41                 .Include("genres")
42                 .Include("plot")
43                 .Include("year")
44                 .Meta("score", "vectorSearchScore")
45             );
46         return Collection.Aggregate<BsonDocument>(pipeline).ToList();
47     }
48 }

O filtro usa o operador de pipeline de agregação $or para localizar documentos de filme que correspondam a um dos seguintes critérios:

Filtre pelo campo genres para encontrar filmes que não são do gênero crime .
Filtre pelo campo year para encontrar filmes lançados no ano 2015 ou antes e pelo campo genres para encontrar filmes do gênero action .

DataService.cs

1 namespace query_quick_start;
2 
3 using MongoDB.Driver;
4 using MongoDB.Bson;
5 
6 public class DataService
7 {
8     private const string ConnectionString = "<connection-string>";
9     private static readonly MongoClient Client = new MongoClient(ConnectionString);
10     private static readonly IMongoDatabase Database = Client.GetDatabase("sample_mflix");
11     private static readonly IMongoCollection<BsonDocument> Collection = Database.GetCollection<BsonDocument>("embedded_movies");
12     
13     public List<BsonDocument>? PerformVectorQuery()
14     {
15         double[] queryVector = {
16             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17         };
18         var filter = Builders<BsonDocument>.Filter.Or(
19             Builders<BsonDocument>.Filter.Ne("genres", "Crime"),
20             Builders<BsonDocument>.Filter.And(
21                 Builders<BsonDocument>.Filter.Lte("year", 2015),
22                 Builders<BsonDocument>.Filter.Eq("genres", "Action")
23             )
24         );
25   
26         var options = new VectorSearchOptions<BsonDocument>()
27         {
28             IndexName = "vector_index",
29             Filter = filter,
30             NumberOfCandidates = 200,
31         };
32         
33         var pipeline = new EmptyPipelineDefinition<BsonDocument>()
34             .VectorSearch("plot_embedding_voyage_3_large", queryVector, 10, options)
35             .Project(Builders<BsonDocument>.Projection
36                 .Exclude("_id")
37                 .Include("title")
38                 .Include("genres")
39                 .Include("plot")
40                 .Include("year")
41                 .Meta("score", "vectorSearchScore")
42             );
43         return Collection.Aggregate<BsonDocument>(pipeline).ToList();
44     }
45 }

Substitua `<connection-string>` na query e salve o arquivo.

Substitua <connection-string> pela string de conexão do seu cluster do Atlas ou da implantação local do Atlas.

Sua string de conexão deve usar o seguinte formato:

mongodb+srv://<db_username>:<db_password>@<clusterName>.<hostname>.mongodb.net

Para saber mais, consulte Conectar a um cluster via drivers.

Sua string de conexão deve usar o seguinte formato:

mongodb://localhost:<port-number>/?directConnection=true

Para saber mais, consulte Connection strings.

Update `Program.cs`.

Atualize Program.cs para inicializar o DataService e chamar o método para executar a query.

Program.cs

1 using query_quick_start;
2 
3 var dataService = new DataService();
4 var results = dataService.PerformVectorQuery();
5 if (results != null)
6 {
7 	foreach (var document in results)
8 	{
9 		Console.WriteLine(document);
10 	}
11 }
12 else
13 {
14 	Console.WriteLine("The query returned no results.");
15 }

Salve e execute o projeto.

Salve o arquivo e, em seguida, compile e execute seu projeto para realizar a consulta.

dotnet run query_quick_start.csproj

1 { "plot" : "Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...", "genres" : ["Action", "Adventure", "Comedy"], "title" : "3 Ninjas: High Noon at Mega Mountain", "year" : 1998, "score" : 0.77463436126708984 }
2 { "plot" : "A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...", "genres" : ["Action", "Adventure", "Family"], "title" : "White Wolves: A Cry in the Wild II", "year" : 1993, "score" : 0.77010631561279297 }
3 { "plot" : "A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.", "genres" : ["Action", "Adventure", "Sci-Fi"], "title" : "Space Raiders", "year" : 1983, "score" : 0.75695919990539551 }
4 { "plot" : "Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.", "genres" : ["Adventure", "Family", "Fantasy"], "title" : "The Ewok Adventure", "year" : 1984, "score" : 0.75154352188110352 }
5 { "plot" : "A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.", "genres" : ["Adventure", "Comedy", "Fantasy"], "title" : "Time Bandits", "year" : 1981, "score" : 0.75135993957519531 }
6 { "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.", "genres" : ["Adventure", "Family", "Fantasy"], "title" : "Chitty Chitty Bang Bang", "year" : 1968, "score" : 0.74922609329223633 }
7 { "plot" : "A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.", "genres" : ["Action", "Adventure", "Comedy"], "title" : "Forest Warrior", "year" : 1996, "score" : 0.74737143516540527 }
8 { "plot" : "A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.", "genres" : ["Action", "Adventure", "Comedy"], "title" : "Forest Warrior", "year" : 1996, "score" : 0.74737143516540527 }
9 { "plot" : "A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.", "genres" : ["Action", "Fantasy", "Adventure"], "title" : "Warriors of Virtue", "year" : 1997, "score" : 0.74642133712768555 }
10 { "plot" : "A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...", "genres" : ["Animation", "Adventure", "Fantasy"], "title" : "Taxandria", "year" : 1994, "score" : 0.74532461166381836 }

dotnet run query_quick_start.csproj

1 { "year" : 1977, "plot" : "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Star Wars: Episode IV - A New Hope", "score" : 0.79868483543395996 }
2 { "plot" : "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.", "genres" : ["Action", "Adventure", "Sci-Fi"], "title" : "Dune", "year" : 1984, "score" : 0.79497003555297852 }
3 { "plot" : "In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...", "genres" : ["Action", "Adventure", "Sci-Fi"], "title" : "Message from Space", "year" : 1978, "score" : 0.7913978099822998 }
4 { "plot" : "In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...", "genres" : ["Action", "Adventure", "Sci-Fi"], "title" : "Message from Space", "year" : 1978, "score" : 0.7913978099822998 }
5 { "year" : 1980, "plot" : "After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Star Wars: Episode V - The Empire Strikes Back", "score" : 0.78098845481872559 }
6 { "plot" : "After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Star Wars: Episode VI - Return of the Jedi", "year" : 1983, "score" : 0.77849960327148438 }
7 { "plot" : "Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Star Wars: Episode I - The Phantom Menace", "year" : 1999, "score" : 0.77667427062988281 }
8 { "plot" : "The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...", "genres" : ["Adventure", "Family", "Fantasy"], "title" : "Ewoks: The Battle for Endor", "year" : 1985, "score" : 0.76761198043823242 }
9 { "plot" : "A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Krull", "year" : 1983, "score" : 0.76243734359741211 }
10 { "plot" : "An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Starcrash", "year" : 1978, "score" : 0.75827145576477051 }

Crie um arquivo denominado `AtlasVectorSearchTutorial.go`.

Copie e cole o código do operador pré-filtro que deseja testar no arquivo `AtlasVectorSearchTutorial.go`.

Exclua o campo _id e inclua somente os campos title, genres, plot e year nos resultados.
Adicionar um campo chamado score que exibe a pontuação da pesquisa vetorial para cada documento nos resultados.

O filtro usa o operador de pipeline de agregação $and para localizar documentos de filme que correspondam aos seguintes critérios:

Filtre pelo campo genres para encontrar filmes que não estão no gênero drama, western ou crime, mas sim no gênero action, adventure ou family.
Filtre pelo campo year para encontrar filmes que foram lançados entre os anos 1960 e 2000.

1 package main
2 
3 import (
4 	"context"
5 	"fmt"
6 	"log"
7 
8 	"go.mongodb.org/mongo-driver/bson"
9 	"go.mongodb.org/mongo-driver/mongo"
10 	"go.mongodb.org/mongo-driver/mongo/options"
11 )
12 
13 func main() {
14 	ctx := context.Background()
15 
16 	// Replace the placeholder with your Atlas connection string
17 	const uri = "<connection-string>"
18 
19 	// Connect to your Atlas cluster
20 	clientOptions := options.Client().ApplyURI(uri)
21 	client, err := mongo.Connect(ctx, clientOptions)
22 	if err != nil {
23 		log.Fatalf("failed to connect to the server: %v", err)
24 	}
25 	defer func() { _ = client.Disconnect(ctx) }()
26 
27 	// Set the namespace
28 	coll := client.Database("sample_mflix").Collection("embedded_movies")
29 
30 	queryVector := [2048]float64{
31 		-0.021090532, -0.026399033, -0.024103465, -0.025538195, -0.000549233, 0.011836523, -0.013199517, -0.003766167, -0.005165028, -0.02238179, 0.037876874, 0.010617003, 0.010903949, -0.001354026, 0.006850836, -0.018005863, -0.02195137, 0.019512329, -0.041894119, -0.008357302, 0.027546817, -0.025251249, 0.004340059, -0.02195137, -0.003748232, -0.006205208, 0.021377478, 0.008931194, -0.00173961, -0.009827901, -0.016642869, -0.033572685, -0.026399033, 0.015208139, 0.010114847, -0.0233861, -0.011406104, -0.033142265, -0.008895326, -0.014347301, -0.019081909, -0.049067769, 0.034433521, -0.023673046, 0.004160717, -0.01334299, -0.06714537, 0.032568373, -0.022525262, -0.024677357, 0.011334368, 0.027403345, 0.026399033, -0.016786342, -0.015925504, 0.013916882, -0.005487842, -0.0233861, 0.026542507, -0.052798066, -0.025681669, -0.025394723, 0.014203828, 0.014921193, -0.031564061, 0.010760476, 0.010688739, 0.013916882, -0.037876874, 0.039598551, -0.000816003, 0.003766167, -0.001694775, 0.026972925, -0.009469219, 0.015351612, -0.007245387, 0.028981548, -0.035724778, 0.010688739, 0.001228488, 0.004106915, -0.024677357, 0.028551128, -0.033716157, -0.013486463, 0.018292809, -0.018221073, 0.009612692, -0.003622693, -0.001138817, -0.021234006, -0.045624416, 0.020803586, 0.007675806, -0.009612692, -0.021664424, -0.026685979, -0.025968615, 0.001775478, -0.007496465, 0.02051664, -0.054519743, 0.018221073, 0.014132091, -0.009684428, -0.025825141, -0.014921193, -0.057389203, -0.020660114, -0.028264182, -0.008931194, -0.019942747, -0.003228143, -0.014419037, 0.021234006, -0.004573202, 0.007317123, 0.018651491, -0.016571132, -0.036155198, -0.032855317, 0.000726332, -0.031851009, 0.018938437, 0.021234006, -0.048206929, 0.017934127, -0.013414727, -0.009469219, 0.064849801, 0.006348681, -0.039024659, 0.021377478, -0.022668736, -0.026829453, -0.019081909, 0.027977237, -0.004627005, -0.038450766, 0.004465597, -0.041894119, 0.008213829, 0.03055975, 0.052224174, -0.00277979, -0.032137953, -0.013629936, 0.022094844, -0.005918262, 0.020660114, 0.010617003, -0.020373167, -0.001614071, 0.021090532, -0.005523711, 0.004878082, -0.021090532, 0.029698912, 0.000726332, 0.003371616, -0.022238316, 0.008715985, 0.038737711, 0.013486463, -0.008536644, 0.040172443, 0.017503707, -0.028838074, 0.061693393, -0.003066736, 0.008285566, -0.034576993, 0.01578203, -0.02238179, 0.015925504, 0.066571474, -0.038737711, -0.050215553, 0.009325746, -0.010903949, -0.041607171, -0.006384549, 0.026972925, -0.000119374, -0.003066736, -0.024103465, 0.005093292, 0.028981548, 0.026829453, -0.001703742, 0.043041904, 0.010186584, 0.010688739, 0.004357993, -0.016571132, -0.010545266, -0.033142265, -0.005559579, -0.000365408, -0.00717365, 0.019655801, 0.047633037, 0.044476632, 0.01456251, -0.002977065, 0.025681669, -0.015423348, -0.02051664, -0.019512329, 0.014705983, 0.002977065, 0.03055975, -0.014347301, 0.024390411, 0.005882393, -0.012195205, 0.004071047, -0.028694602, 0.031277116, -0.010114847, 0.005272633, 0.017934127, 0.037589926, -0.046198308, -0.02195137, -0.037876874, 0.021234006, -0.034720469, -0.018005863, 0.03055975, -0.015495085, -0.035150886, 0.004178651, 0.005882393, 0.075753748, 0.00595413, -0.083214343, -0.016284186, 0.022238316, -0.032998793, -0.00491395, -0.009254009, -0.007819279, 0.046198308, -0.008464907, 0.014634247, 0.031707536, -0.00317434, -0.026255561, -0.010617003, -0.033285737, 0.020086221, -0.016858079, -0.012195205, -0.041894119, 0.000721849, 0.038163818, 0.02238179, 0.011406104, 0.010330057, 0.032137953, -0.01047353, 0.039311603, -0.01291257, -0.03099017, -0.018938437, -0.013271254, -0.001820314, -0.005380238, 0.003299879, -0.024533885, -0.001093982, 0.012123469, -0.005236765, 0.014132091, -0.018221073, 0.013629936, 0.022238316, -0.00317434, 0.034003101, 0.019081909, 0.008034488, -0.02912502, 0.026542507, -0.011334368, -0.077475421, 0.038163818, -0.003568891, 0.019081909, 0.019512329, 0.002385239, -0.032568373, -0.020373167, 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-0.024103465, -0.021377478, -0.00738886, -0.031707536, 0.017790653, -0.026829453, 0.007783411, -0.003335747, 0.024677357, 0.006384549, 0.035724778, -0.004017244, -0.018651491, -0.014060355, -0.029842386, -0.012553888, 0.006994309, -0.00317434, 0.018292809, 0.019942747, -0.01169305, 0.002456975, 0.010330057, -0.031707536, 0.00799862, -0.019655801, -0.006205208, -0.012769097, -0.035294361, 0.026112087, -0.004483532, 0.02094706, 0.019081909, 0.001676841, -0.040746335, -0.004035179, -0.014992929, 0.004375927, -0.049928606, -0.02051664, 0.004268322, 0.015351612, -0.037016038, -0.001452664, -0.021234006, -0.005738921, -0.051650282, -0.008285566, 0.012840834, -0.015925504, 0.018794963, -0.001228488, -0.035868254, -0.00347922, -0.003264011, 0.002528712, 0.01477772, -0.010545266, 0.018221073, 0.018149335, -0.028838074, -0.012984307, -0.037302982, -0.041607171, -0.043328848, -0.019799275, -0.019225383, -0.011047422, 0.011908259, 0.021664424, -0.012553888, 0.004662873, 0.005451974, -0.024533885, 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-0.048493877, 0.015638558, -0.036155198, -0.016427658, -0.000600793, 0.003281945, 0.022094844, -0.009110536, -0.017145025, -0.023242628, -0.014921193, 0.023673046, 0.02195137, -0.025394723, 0.003371616, -0.032998793, -0.000959476, -0.037589926, -0.013271254, -0.04476358, -0.015423348, -0.018651491, -0.049067769, 0.033429209, -0.002089326, -0.033716157, -0.000932575, -0.001080531, 0.036155198, -0.004106915, 0.005272633, -0.02195137, -0.010043111, -0.027403345, -0.035868254, 0.006814968, 0.039598551, 0.037302982, -0.041320227, -0.025394723, -0.025394723, -0.000699431, 0.003604759, 0.016355922, -0.00799862, -0.006994309, 0.035150886, 0.020229694, -0.007747543, 0.017647181, 0.026399033, -0.030416278, -0.011908259, 0.026542507, -0.012195205, 0.034146577, -0.006169339, -0.008859458, 0.0045194, 0.019799275, -0.031277116, -0.022812208, 0.007066045, 0.039885495, 0.001264356, -0.026542507, -0.016355922, 0.002214865, -0.018938437, -0.02955544, -0.008070357, -0.006420417, -0.001389895, 0.002241766, -0.018292809, 0.016355922, -0.002134161, 0.037302982, 0.00180238, -0.013199517, -0.020086221, -0.011621314, 0.021377478, -0.005272633, -0.02195137, -0.017216761, 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,
32 	}
33 
34 	genresFilterCondition := bson.D{
35 		{"$and", bson.A{
36 			bson.D{{"genres", bson.D{{"$nin", bson.A{"Drama", "Western", "Crime"}}}}},
37 			bson.D{{"genres", bson.D{{"$in", bson.A{"Action", "Adventure", "Family"}}}}},
38 		}}}
39 
40 	yearFilterCondition := bson.D{
41 		{"$and", bson.A{
42 			bson.D{{"year", bson.D{{"$gte", 1960}}}},
43 			bson.D{{"year", bson.D{{"$lte", 2000}}}},
44 		}},
45 	}
46 
47 	filter := bson.D{{"$and", bson.A{
48 		genresFilterCondition, yearFilterCondition,
49 	}},
50 	}
51 
52 	vectorSearchStage := bson.D{
53 		{"$vectorSearch", bson.D{
54 			{"index", "vector_index"},
55 			{"path", "plot_embedding_voyage_3_large"},
56 			{"filter", filter},
57 			{"queryVector", queryVector},
58 			{"numCandidates", 200},
59 			{"limit", 10},
60 		}},
61 	}
62 
63 	projectStage := bson.D{
64 		{"$project", bson.D{
65 			{"_id", 0},
66 			{"plot", 1},
67 			{"title", 1},
68 			{"genres", 1},
69 			{"year", 1},
70 			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
71 		}}}
72 
73 	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
74 	if err != nil {
75 		log.Fatalf("failed to retrieve data from the server: %v", err)
76 	}
77 	// display the results
78 	type ProjectedMovieResult struct {
79 		Title  string   `bson:"title"`
80 		Plot   string   `bson:"plot"`
81 		Genres []string `bson:"genres"`
82 		Year   int32    `bson:"year"`
83 		Score  float64  `bson:"score"`
84 	}
85 
86 	var results []ProjectedMovieResult
87 	if err = cursor.All(ctx, &results); err != nil {
88 		log.Fatalf("failed to unmarshal results to ProjectedMovieResult objects: %v", err)
89 	}
90 	for _, result := range results {
91 		fmt.Printf("Title: %v \nPlot: %v \nGenres: %v \nYear: %v \nScore: %v \n\n", result.Title, result.Plot, result.Genres, result.Year, result.Score)
92 	}
93 }

O filtro usa o operador de pipeline de agregação $or para localizar documentos de filme que correspondam a um dos seguintes critérios:

Filtre pelo campo genres para encontrar filmes que não são do gênero crime .
Filtre pelo campo year para encontrar filmes lançados no ano 2015 ou antes e pelo campo genres para encontrar filmes do gênero action .

1 package main
2 
3 import (
4 	"context"
5 	"fmt"
6 	"log"
7 
8 	"go.mongodb.org/mongo-driver/bson"
9 	"go.mongodb.org/mongo-driver/mongo"
10 	"go.mongodb.org/mongo-driver/mongo/options"
11 )
12 
13 func main() {
14 	ctx := context.Background()
15 
16 	// Replace the placeholder with your Atlas connection string
17 	const uri = "<connection-string>"
18 
19 	// Connect to your Atlas cluster
20 	clientOptions := options.Client().ApplyURI(uri)
21 	client, err := mongo.Connect(ctx, clientOptions)
22 	if err != nil {
23 		log.Fatalf("failed to connect to the server: %v", err)
24 	}
25 	defer func() { _ = client.Disconnect(ctx) }()
26 
27 	// Set the namespace
28 	coll := client.Database("sample_mflix").Collection("embedded_movies")
29 
30 	queryVector := [2048]float64{
31 		-0.025189938, 0.014741838, -0.013024342, -0.0197512, 0.011235285, 0.004651551, 0.043509893, 0.003112961, 0.013310592, -0.033348043, 0.037212405, -0.021039322, -0.026048684, 0.012809656, 0.029483676, 0.003578116, -0.044654887, 0.032632418, 0.014312465, -0.058967352, 0.025333062, -0.055246111, 0.02189807, -0.017604331, -0.002880384, 0.045227386, 0.004794675, 0.017604331, 0.023186192, -0.054673612, -0.011306847, -0.012523406, -0.012380281, 0.002540462, 0.015958399, -0.042364895, -0.001467028, -0.020180576, -0.058108605, -0.035065539, 0.010090288, -0.033348043, 0.058394853, -0.013883091, 0.002048471, -0.020753073, -0.029769925, 0.031916797, -0.014741838, -0.040933646, -0.004096943, 0.020753073, -0.002540462, 0.028052431, -0.02404494, 0.006547953, -0.003578116, 0.003757022, 0.019178702, -0.037784904, -0.02833868, 0.01753277, 0.029769925, 0.017747456, -0.031344298, 0.022899942, 0.006333265, 0.010376536, -0.024474313, -0.012094032, -0.004651551, 0.007764512, 0.017962143, 0.013811528, 0.037212405, -0.03148742, 0.000666424, 0.024474313, -0.021325571, 0.041219898, 0.011235285, 0.046658635, 0.019035578, 0.020753073, 0.010662786, -0.001726441, -0.012738093, -0.027193682, -0.014598713, -0.013167467, 0.013596841, 0.001932183, -0.010304974, -0.007478263, 0.005689205, 0.002987727, 0.005724986, 0.002325775, 0.002415228, -0.003828584, -0.029340552, -0.017318081, -0.070417322, 0.003810694, -0.013453716, -0.001628043, -0.027909305, 0.014026215, 0.009589351, 0.004902019, 0.028768053, -0.005259831, -0.010448099, 0.025189938, 0.038357403, 0.048662379, 0.039788652, 0.010448099, 0.001574371, 0.020323699, 0.005510299, 0.026907433, 0.043223642, -0.001153942, -0.010233412, 0.048376128, -0.056104861, 0.006691077, 0.015672149, -0.015028087, 0.036210533, -0.009231539, 0.010519661, 0.022899942, 0.025762435, -0.009052633, -0.0301993, 0.032203045, -0.00522405, 0.029626802, -0.02433119, -0.025619311, 0.016674021, 0.02404494, -0.009589351, -0.026334934, -0.04436864, -0.014455589, 0.02619181, 0.017604331, 0.02189807, -0.007728731, -0.021611821, -0.03363429, 0.008480135, -0.027479932, 0.025046812, -0.006047016, 0.020753073, 0.01016185, -0.034063663, 0.029483676, -0.019035578, 0.041506145, 0.013453716, -0.009159978, 0.007549825, 0.025189938, 0.005152487, -0.009446226, -0.009016853, 0.021325571, 0.030771798, -0.046944883, 0.001314958, 0.021182448, 0.047231134, -0.007048889, -0.030771798, -0.025905561, -0.000612752, -0.023186192, 0.011378409, 0.035065539, 0.007979199, 0.023901815, -0.004973582, 0.005188268, -0.046944883, 0.009374664, 0.047231134, 0.058967352, 0.043509893, 0.011449971, 0.017174957, -0.024188064, -0.025476186, -0.02833868, 0.033061791, 0.015314337, -0.018749328, 0.013382155, 0.007048889, 0.005975454, 0.005295612, -0.013310592, -0.022756819, -0.012523406, -0.03363429, -0.014527151, 0.011449971, 0.01202247, 0.044941138, -0.012594969, 0.002862493, 0.000572499, 0.030628674, -0.0098756, 0.020466823, 0.059539851, -0.00370335, 0.007335138, 0.023901815, 0.023758691, -0.005903892, 0.003918037, 0.013310592, 0.010090288, -0.012809656, -0.010376536, -0.01109216, -0.008086543, 0.012809656, -0.019894326, 0.012738093, 0.056391109, 0.029340552, -0.04436864, -0.001619098, 0.042364895, -0.027623056, 0.011593096, -0.031916797, -0.0301993, 0.032203045, -0.003757022, 0.017174957, 0.033491168, 0.003900147, 0.002325775, 0.006726858, 0.020180576, 0.017389644, 0.009088415, 0.018319955, -0.003631788, 0.00586811, -0.006691077, -0.014240902, -0.009052633, 0.031630546, 0.04436864, -0.022899942, -0.003327648, -0.006691077, 0.013310592, -0.035924286, -0.008158104, -0.005116706, -0.040647399, 0.002397338, 0.014455589, -0.030342424, 0.028624929, -0.031773672, 0.043509893, -0.001833785, -0.025619311, 0.032775544, -0.046944883, 0.013739966, -0.030485548, 0.018319955, 0.016745584, -0.020323699, -0.015815273, -0.020896198, -0.015171212, 0.026334934, 0.035638034, 0.008873728, 0.003291867, -0.02647806, 0.003649678, 0.003613897, 0.009804038, -0.013525278, 0.005367174, 0.007657168, -0.017103394, -0.015815273, -0.000398065, 0.013310592, 0.014240902, 0.003935928, 0.001735386, -0.018606203, 0.008265448, -0.068127327, 0.012165595, -0.007836075, 0.02189807, -0.000983982, 0.019178702, -0.009589351, -0.013739966, -0.007800293, 0.040361151, 0.027623056, -0.002540462, -0.03663991, 0.011163722, -0.016316209, -0.006333265, -0.010877473, -0.023329318, -0.021468697, 0.013596841, 0.032059919, 0.007442481, 0.02433119, -0.003613897, -0.013596841, 0.010448099, 0.010877473, -0.0098756, 0.033920541, -0.006691077, -0.039502401, -0.010877473, -0.016960271, 0.014097777, -0.008122323, 0.007478263, 0.010018725, -0.030485548, -0.011020597, 0.000317558, 0.00461577, 0.020466823, 0.070703574, -0.024617439, 0.002111088, -0.024617439, -0.004204286, -0.048662379, -0.006834202, 0.027766181, -0.002504681, 0.025189938, 0.033920541, -0.02833868, -0.000773768, -0.03578116, 0.015958399, 0.006369046, 0.033204917, -0.006762639, 0.02003745, -0.020180576, 0.015886836, -0.015385899, -0.029340552, -0.009446226, 0.015529023, -0.010376536, -0.012881218, -0.000715623, 0.014312465, -0.029197427, -0.000684315, 0.000360048, 0.015815273, -0.027050557, 0.006655296, 0.018892452, -0.021182448, 0.031201173, 0.014240902, -0.022756819, 0.004365302, -0.020609949, 0.008515916, -0.016244646, 0.001162888, 0.000084421, 0.003273976, -0.017819017, 0.000576971, 0.020753073, -0.004794675, 0.018105267, -0.013095905, -0.028052431, 0.004114834, 0.02833868, -0.027193682, -0.010877473, -0.002576244, 0.011879345, -0.017819017, 0.006726858, -0.021754947, -0.031773672, -0.013382155, 0.024903689, 0.013167467, 0.000033964, 0.034063663, 0.022613693, -0.038357403, -0.010018725, -0.017174957, -0.004418973, 0.02189807, -0.003166633, -0.009589351, 0.009303101, -0.036496785, -0.005760767, -0.006583733, -0.003596007, 0.014026215, -0.003828584, -0.02833868, -0.020896198, 0.001449137, 0.039502401, 0.012881218, 0.025476186, 0.000961619, -0.025762435, 0.002808821, 0.034922414, 0.004687332, -0.046658635, 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0.052097369, -0.003774913, 0.016316209, -0.027050557, 0.028195554, -0.007549825, -0.020466823, 0.014598713, -0.005939673, 0.003273976, -0.052097369, 0.002701478, -0.02404494, -0.005903892, 0.009947163, -0.00043161, 0.02189807, 0.042078644, -0.020609949, 0.007836075, 0.018892452, 0.001207614, 0.009159978, -0.029197427, -0.023329318, 0.004347411, -0.019464951, 0.020180576, 0.019894326, 0.00615436, 0.021468697, -0.017461207, -0.011879345, -0.002307885, 0.016101522, -0.029626802, -0.014455589, 0.020323699, 0.020753073, 0.018176829, -0.006082797, 0.027766181, 0.016530896, -0.008444354, 0.001806949, 0.029626802, -0.012451844, 0.023186192, 0.006869983, -0.034063663, -0.012094032, -0.021611821, -0.008050761, 0.05581861, -0.004257958, -0.025333062, -0.004526317, 0.018033706, 0.027479932, 0.025476186, 0.008802165, -0.009589351, 0.012809656, 0.012523406, 0.0400749, 0.018033706, 0.011020597, 0.014956526, 0.013883091, -0.006655296, 0.019608077, -0.03234617, 0.007585606, -0.036067411, -0.024617439, -0.001628043, 0.022041194, 0.026764309, -0.038643654, -0.009124196, -0.020323699, -0.013883091, 0.02404494, 0.002361557, -0.03234617, -0.0049378, 0.018606203, 0.022327444, 0.043509893, -0.030485548, -0.003560225, 0.007442481, 0.00370335, 0.011449971, 0.023472441, 0.000197915, -0.011950907, 0.023329318, -0.009804038, -0.025619311, 0.0074067, -0.003953818, 0.014312465, 0.048662379, -0.027193682, 0.019894326, -0.042364895, 0.003327648, 0.042937394, -0.040933646, -0.020466823, 0.056104861, 0.020896198, -0.014527151, -0.036210533, -0.022470569, 0.035924286, -0.013167467, -0.055532362, -0.006190141, -0.027909305, 0.012881218, 0.003005618, 0.005689205, 0.01109216, -0.016387772, -0.021468697, 0.018176829, -0.021611821, 0.032918669, 0.002951946, -0.008837947, -0.031773672, -0.029913051, 0.017318081, 0.017461207, -0.02833868, -0.027479932, -0.023615567, 0.037212405, -0.023615567, -0.02404494, 0.029626802, 0.002951946, 0.004043271, -0.001377575, 0.007800293, 0.024188064, -0.027336806, -0.002361557, -0.00307718, -0.025189938, 0.007192013, -0.000207978, 0.040933646, 0.010877473, -0.000720096, -0.006941545, 0.003059289, 0.032775544, -0.007657168, 0.019321827, -0.012094032, 0.042078644, -0.010591224, 0.011807784, -0.016173085, -0.015529023, -0.023615567, 0.016173085, -0.018606203, 0.007192013, -0.008587479, 0.000257177, 0.002245268, -0.011879345, 0.044082388, -0.005939673, -0.003059289, -0.013954652, -0.026621183, 0.039502401, -0.006440609, 0.014384027, 0.012094032, -0.034779288, -0.002379447, 0.023329318, 0.029483676, -0.002325775, -0.001565426, 0.025619311, 0.018606203, -0.016101522, -0.0301993, 0.002576244, 0.035208661, 0.002325775, -0.011664659, -0.022470569, -0.047231134, -0.016888708, -0.017747456, 0.05152487, 0.009374664, -0.010591224, 0.009303101, -0.005009362, -0.029197427, 0.001726441, -0.023758691, -0.002934055, -0.017461207, 0.018606203, -0.002665696, -0.003578116, -0.018606203, -0.004651551, -0.021325571, 0.005367174, -0.009124196, 0.016888708, -0.01295278, 0.002048471, -0.011593096, 0.017604331, -0.008515916, 0.006082797, -0.036067411, -0.027336806, -0.010018725, -0.001306012, 0.026334934, -0.019321827, -0.030914923, -0.026764309, -0.0024689, -0.005581861, -0.002755149, 0.019464951, -0.01295278, 0.011163722, 0.000639588, 0.025476186, 0.029483676, 0.042651143, -0.011306847, 0.002737259, 0.010090288, -0.015600586, 0.038357403, 0.029197427, -0.008193886, 0.044082388, 0.032489292, -0.00123445, -0.008372792, 0.009124196, -0.00309507, -0.041792396, 0.007764512, -0.009947163, 0.044941138, 0.030056175, -0.013024342, -0.019321827, 0.019321827, 0.008551697, -0.053814866, 0.038071156, -0.037784904, 0.012165595, -0.008444354, -0.029626802, -0.006905764, -0.028195554, -0.01080591, -0.0098756, -0.032203045, 0.040361151, -0.033920541, 0.004454754, -0.036067411, 0.011879345, -0.011235285, 0.020609949, -0.004579989, 0.0074067, -0.017103394, 0.01789058, 0.011449971, -0.007836075, 0.000427138, -0.007120451, 0.008337011, 0.00123445, -0.003273976, -0.007263576, -0.011449971, 0.022756819, 0.002576244, -0.013310592, -0.013382155, -0.011664659, -0.013453716, -0.005152487, -0.050379876, -0.034636162, -0.011306847, 0.015028087, 0.008480135, -0.047517382, -0.00586811, -0.008301229, -0.01416934, 0.000876638, 0.000326503, 0.01080591, 0.004150615, 0.005259831, -0.008837947, 0.017031832, -0.016316209, -0.036210533, -0.013883091, -0.000295195, 0.014240902, 0.020753073, -0.022899942, -0.038929902, 0.00586811, -0.008050761, 0.00016437, -0.001932183, 0.001789058, 0.017031832, 0.045227386, -0.016745584, -0.005689205, 0.008372792, 0.008301229, -0.016674021, -0.004222177, 0.005832329, 0.016173085, -0.009374664, -0.006869983, -0.052669868, 0.035065539, 0.000123557, 0.007478263, 0.033491168, 0.054387365, 0.002254213, -0.007836075, -0.020323699, -0.019178702, -0.010376536, -0.039788652, -0.032632418, -0.012380281, -0.002540462, -0.016602458, -0.022756819, 0.019608077, 0.001887456, 0.032918669, 0.008050761, -0.013739966, 0.006547953, -0.016674021, 0.001574371, 0.019321827, -0.016960271, -0.031201173, 0.027766181, 0.006655296, 0.020753073, 0.009804038, 0.024903689, -0.043509893, 0.015815273, -0.017962143, -0.043223642, 0.033920541, -0.007764512, -0.006762639, 0.017819017, -0.026621183, 0.046658635, -0.004490536, 0.024188064, -0.010304974, 0.004651551, 0.047231134, -0.038071156, 0.009589351, -0.033920541, -0.027050557, 0.050093625, 0.008515916, -0.025189938, -0.008050761, 0.011950907, 0.004973582, 0.014527151, -0.009374664, -0.003721241, 0.019608077, 0.049807377, 0.016602458, 0.02404494,
32 	}
33 
34 	genresFilterCondition := bson.D{{"genres", bson.D{{"$ne", "Crime"}}}}
35 
36 	yearAndGenresFilterCondition := bson.D{
37 		{"$and", bson.A{
38 			bson.D{{"year", bson.D{{"$lte", 2015}}}},
39 			bson.D{{"genres", bson.D{{"$eq", "Action"}}}},
40 		}},
41 	}
42 
43 	filter := bson.D{{"$or", bson.A{
44 		genresFilterCondition, yearAndGenresFilterCondition,
45 	}},
46 	}
47 
48 	vectorSearchStage := bson.D{
49 		{"$vectorSearch", bson.D{
50 			{"index", "vector_index"},
51 			{"path", "plot_embedding_voyage_3_large"},
52 			{"filter", filter},
53 			{"queryVector", queryVector},
54 			{"numCandidates", 200},
55 			{"limit", 10},
56 		}},
57 	}
58 
59 	projectStage := bson.D{
60 		{"$project", bson.D{
61 			{"_id", 0},
62 			{"plot", 1},
63 			{"title", 1},
64 			{"genres", 1},
65 			{"year", 1},
66 			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
67 		}}}
68 
69 	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
70 	if err != nil {
71 		log.Fatalf("failed to retrieve data from the server: %v", err)
72 	}
73 	// display the results
74 	type ProjectedMovieResult struct {
75 		Title  string   `bson:"title"`
76 		Plot   string   `bson:"plot"`
77 		Genres []string `bson:"genres"`
78 		Year   int32    `bson:"year"`
79 		Score  float64  `bson:"score"`
80 	}
81 
82 	var results []ProjectedMovieResult
83 	if err = cursor.All(ctx, &results); err != nil {
84 		log.Fatalf("failed to unmarshal results to ProjectedMovieResult objects: %v", err)
85 	}
86 	for _, result := range results {
87 		fmt.Printf("Title: %v \nPlot: %v \nGenres: %v \nYear: %v \nScore: %v \n\n", result.Title, result.Plot, result.Genres, result.Year, result.Score)
88 	}
89 }

Substitua `<connection-string>` na query e salve o arquivo.

Substitua <connection-string> pela string de conexão do seu cluster do Atlas ou da implantação local do Atlas.

Sua string de conexão deve usar o seguinte formato:

mongodb+srv://<db_username>:<db_password>@<clusterName>.<hostname>.mongodb.net

Para saber mais, consulte Conectar a um cluster via drivers.

Sua string de conexão deve usar o seguinte formato:

mongodb://localhost:<port-number>/?directConnection=true

Para saber mais, consulte Connection strings.

Compile e execute o arquivo `AtlasVectorSearchTutorial.go`.

go run AtlasVectorSearchTutorial.go

1 Title: 3 Ninjas: High Noon at Mega Mountain 
2 Plot: Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ... 
3 Genres: [Action Adventure Comedy] 
4 Year: 1998 
5 Score: 0.7746343612670898 
6 
7 Title: White Wolves: A Cry in the Wild II 
8 Plot: A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new... 
9 Genres: [Action Adventure Family] 
10 Year: 1993 
11 Score: 0.770106315612793 
12 
13 Title: Space Raiders 
14 Plot: A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates. 
15 Genres: [Action Adventure Sci-Fi] 
16 Year: 1983 
17 Score: 0.7569591999053955 
18 
19 Title: The Ewok Adventure 
20 Plot: Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents. 
21 Genres: [Adventure Family Fantasy] 
22 Year: 1984 
23 Score: 0.7515435218811035 
24 
25 Title: Time Bandits 
26 Plot: A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal. 
27 Genres: [Adventure Comedy Fantasy] 
28 Year: 1981 
29 Score: 0.7513599395751953 
30 
31 Title: Chitty Chitty Bang Bang 
32 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. 
33 Genres: [Adventure Family Fantasy] 
34 Year: 1968 
35 Score: 0.7492260932922363 
36 
37 Title: Forest Warrior 
38 Plot: A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks. 
39 Genres: [Action Adventure Comedy] 
40 Year: 1996 
41 Score: 0.7473714351654053 
42 
43 Title: Forest Warrior 
44 Plot: A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks. 
45 Genres: [Action Adventure Comedy] 
46 Year: 1996 
47 Score: 0.7473714351654053 
48 
49 Title: Warriors of Virtue 
50 Plot: A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors. 
51 Genres: [Action Fantasy Adventure] 
52 Year: 1997 
53 Score: 0.7464213371276855 
54 
55 Title: Taxandria 
56 Plot: A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see... 
57 Genres: [Animation Adventure Fantasy] 
58 Year: 1994 
59 Score: 0.7453246116638184

go run AtlasVectorSearchTutorial.go

1 Title: Star Wars: Episode IV - A New Hope 
2 Plot: Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader. 
3 Genres: [Action Adventure Fantasy] 
4 Year: 1977 
5 Score: 0.79868483543396 
6 
7 Title: Dune 
8 Plot: A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule. 
9 Genres: [Action Adventure Sci-Fi] 
10 Year: 1984 
11 Score: 0.7949700355529785 
12 
13 Title: Message from Space 
14 Plot: In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ... 
15 Genres: [Action Adventure Sci-Fi] 
16 Year: 1978 
17 Score: 0.7913978099822998 
18 
19 Title: Message from Space 
20 Plot: In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ... 
21 Genres: [Action Adventure Sci-Fi] 
22 Year: 1978 
23 Score: 0.7913978099822998 
24 
25 Title: Star Wars: Episode V - The Empire Strikes Back 
26 Plot: After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke. 
27 Genres: [Action Adventure Fantasy] 
28 Year: 1980 
29 Score: 0.7809884548187256 
30 
31 Title: Star Wars: Episode VI - Return of the Jedi 
32 Plot: After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force. 
33 Genres: [Action Adventure Fantasy] 
34 Year: 1983 
35 Score: 0.7784996032714844 
36 
37 Title: Star Wars: Episode I - The Phantom Menace 
38 Plot: Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory. 
39 Genres: [Action Adventure Fantasy] 
40 Year: 1999 
41 Score: 0.7766742706298828 
42 
43 Title: Ewoks: The Battle for Endor 
44 Plot: The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ... 
45 Genres: [Adventure Family Fantasy] 
46 Year: 1985 
47 Score: 0.7676119804382324 
48 
49 Title: Krull 
50 Plot: A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet. 
51 Genres: [Action Adventure Fantasy] 
52 Year: 1983 
53 Score: 0.7624373435974121 
54 
55 Title: Starcrash 
56 Plot: An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn. 
57 Genres: [Action Adventure Fantasy] 
58 Year: 1978 
59 Score: 0.7582714557647705

Crie um arquivo denominado `AtlasVectorSearchTutorial.java`.

Copie e cole o código do operador pré-filtro que deseja testar no arquivo `AtlasVectorSearchTutorial.java`.

Exclua o campo _id e inclua somente os campos title, genres, plot e year nos resultados.
Adicionar um campo chamado score que exibe a pontuação da pesquisa vetorial para cada documento nos resultados.

O filtro usa o operador de pipeline de agregação $and para localizar documentos de filme que correspondam aos seguintes critérios:

Filtre pelo campo genres para encontrar filmes que não estão no gênero drama, western ou crime, mas sim no gênero action, adventure ou family.
Filtre pelo campo year para encontrar filmes que foram lançados entre os anos 1960 e 2000.

1 import static com.mongodb.client.model.Aggregates.*;
2 import static com.mongodb.client.model.Projections.*;
3 import static com.mongodb.client.model.search.SearchPath.fieldPath;
4 import static java.util.Arrays.asList;
5 
6 import com.mongodb.client.MongoClient;
7 import com.mongodb.client.MongoClients;
8 import com.mongodb.client.MongoCollection;
9 import com.mongodb.client.MongoDatabase;
10 import com.mongodb.client.model.*;
11 import com.mongodb.client.model.search.VectorSearchOptions;
12 import java.util.Arrays;
13 import java.util.List;
14 import com.mongodb.client.model.search.FieldSearchPath;
15 import org.bson.Document;
16 import org.bson.conversions.Bson;
17 
18 public class AtlasVectorSearchTutorial {
19   public static void main( String[] args ) {
20     // specify connection
21     String uri = "<connection-string>";
22 
23     // establish connection and set namespace
24     try (MongoClient mongoClient = MongoClients.create(uri)) {
25       MongoDatabase database = mongoClient.getDatabase("sample_mflix");
26       MongoCollection<Document> collection = database.getCollection("embedded_movies");
27       
28   	  // define $vectorSearch query options 
29 	    List<Double> queryVector = 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30 	    String indexName = "vector_index";
31 	    FieldSearchPath fieldSearchPath = fieldPath("plot_embedding_voyage_3_large");
32 	    int numCandidates = 200;
33       int limit = 10;
34       List<String> genresNotInCriteria = Arrays.asList("Drama", "Western", "Crime");
35       List<String> genresInCriteria = Arrays.asList("Action", "Adventure", "Family");
36       Bson criteria = Filters.and(
37                     Filters.nin("genres", genresNotInCriteria), 
38                     Filters.in("genres", genresInCriteria), 
39                     Filters.gte("year", 1960), 
40                     Filters.lte("year", 2000));
41       VectorSearchOptions options = VectorSearchOptions
42                     .approximateVectorSearchOptions(numCandidates)
43                     .filter(criteria);
44       
45       // define pipeline 
46       List<Bson> pipeline = asList(
47           vectorSearch(
48            fieldSearchPath,
49            queryVector,
50            indexName,
51            limit,
52            options),
53           project(
54            fields(exclude("_id"), include("title"), include("plot"), include("year"),
55         		   include("genres"), metaVectorSearchScore("score"))));
56       
57 	  // run query and print results
58       collection.aggregate(pipeline)
59         .forEach(doc -> System.out.println(doc.toJson()));	
60     }
61   }
62 }

O filtro usa o operador de pipeline de agregação $or para localizar documentos de filme que correspondam a um dos seguintes critérios:

Filtre pelo campo genres para encontrar filmes que não são do gênero crime .
Filtre pelo campo year para encontrar filmes lançados no ano 2015 ou antes e pelo campo genres para encontrar filmes do gênero action .

1 import static com.mongodb.client.model.Aggregates.*;
2 import static com.mongodb.client.model.Projections.*;
3 import static com.mongodb.client.model.search.SearchPath.fieldPath;
4 import static java.util.Arrays.asList;
5 
6 import com.mongodb.client.MongoClient;
7 import com.mongodb.client.MongoClients;
8 import com.mongodb.client.MongoCollection;
9 import com.mongodb.client.MongoDatabase;
10 import com.mongodb.client.model.*;
11 import com.mongodb.client.model.search.VectorSearchOptions;
12 import java.util.List;
13 import com.mongodb.client.model.search.FieldSearchPath;
14 import org.bson.Document;
15 import org.bson.conversions.Bson;
16 
17 public class AtlasVectorSearchTutorial {
18   public static void main( String[] args ) {
19     // specify connection
20     String uri = "<connection-string>";
21 
22     // establish connection and set namespace
23     try (MongoClient mongoClient = MongoClients.create(uri)) {
24       MongoDatabase database = mongoClient.getDatabase("sample_mflix");
25       MongoCollection<Document> collection = database.getCollection("embedded_movies");
26       
27   	  // define $vectorSearch query options 
28 	    List<Double> queryVector = 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3,-0.017962143,-0.043223642,0.033920541,-0.007764512,-0.006762639,0.017819017,-0.026621183,0.046658635,-0.004490536,0.024188064,-0.010304974,0.004651551,0.047231134,-0.038071156,0.009589351,-0.033920541,-0.027050557,0.050093625,0.008515916,-0.025189938,-0.008050761,0.011950907,0.004973582,0.014527151,-0.009374664,-0.003721241,0.019608077,0.049807377,0.016602458,0.02404494));
29 	    String indexName = "vector_index";
30 	    FieldSearchPath fieldSearchPath = fieldPath("plot_embedding_voyage_3_large");
31 	    int numCandidates = 200;
32       int limit = 10;
33       Bson criteria = Filters.or(
34                     Filters.lte("year", 2015),
35                     Filters.and(
36                             Filters.lte("year", 2015),
37                             Filters.eq("genres", "Action")));
38       VectorSearchOptions options = VectorSearchOptions
39                     .approximateVectorSearchOptions(numCandidates)
40                     .filter(criteria);
41       
42       // define pipeline 
43       List<Bson> pipeline = asList(
44           vectorSearch(
45            fieldSearchPath,
46            queryVector,
47            indexName,
48            limit,
49            options),
50           project(
51            fields(exclude("_id"), include("title"), include("plot"), include("year"),
52         		   include("genres"), metaVectorSearchScore("score"))));
53       
54 	    // run query and print results
55       collection.aggregate(pipeline)
56         .forEach(doc -> System.out.println(doc.toJson()));	
57     }
58   }
59 }

Substitua `<connection-string>` na query e salve o arquivo.

Substitua <connection-string> pela string de conexão do seu cluster do Atlas ou da implantação local do Atlas.

Sua string de conexão deve usar o seguinte formato:

mongodb+srv://<db_username>:<db_password>@<clusterName>.<hostname>.mongodb.net

Para saber mais, consulte Conectar a um cluster via drivers.

Sua string de conexão deve usar o seguinte formato:

mongodb://localhost:<port-number>/?directConnection=true

Para saber mais, consulte Connection strings.

Compile e execute o arquivo `AtlasVectorSearchTutorial.java`.

javac AtlasVectorSearchTutorial.java
java AtlasVectorSearchTutorial

1 {
2   "plot": 'Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...',
3   "genres": [ 'Action', 'Adventure', 'Comedy' ],
4   "title": '3 Ninjas: High Noon at Mega Mountain',
5   "year": 1998,
6   "score": 0.7746343612670898
7 },
8 {
9   "plot": "A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...",
10   "genres": [ 'Action', 'Adventure', 'Family' ],
11   "title": 'White Wolves: A Cry in the Wild II',
12   "year": 1993,
13   "score": 0.770106315612793
14 },
15 {
16   "plot": 'A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.',
17   "genres": [ 'Action', 'Adventure', 'Sci-Fi' ],
18   "title": 'Space Raiders',
19   "year": 1983,
20   "score": 0.7569591999053955
21 },
22 {
23   "plot": 'Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.',
24   "genres": [ 'Adventure', 'Family', 'Fantasy' ],
25   "title": 'The Ewok Adventure',
26   "year": 1984,
27   "score": 0.7515435218811035
28 },
29 {
30   "plot": 'A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.',
31   "genres": [ 'Adventure', 'Comedy', 'Fantasy' ],
32   "title": 'Time Bandits',
33   "year": 1981,
34   "score": 0.7513599395751953
35 },
36 {
37   "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.',
38   "genres": [ 'Adventure', 'Family', 'Fantasy' ],
39   "title": 'Chitty Chitty Bang Bang',
40   "year": 1968,
41   "score": 0.7492260932922363
42 },
43 {
44   "plot": 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.',
45   "genres": [ 'Action', 'Adventure', 'Comedy' ],
46   "title": 'Forest Warrior',
47   "year": 1996,
48   "score": 0.7473714351654053
49 },
50 {
51   "plot": 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.',
52   "genres": [ 'Action', 'Adventure', 'Comedy' ],
53   "title": 'Forest Warrior',
54   "year": 1996,
55   "score": 0.7473714351654053
56 },
57 {
58   "plot": 'A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.',
59   "genres": [ 'Action', 'Fantasy', 'Adventure' ],
60   "title": 'Warriors of Virtue',
61   "year": 1997,
62   "score": 0.7464213371276855
63 },
64 {
65   "plot": 'A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...',
66   "genres": [ 'Animation', 'Adventure', 'Fantasy' ],
67   "title": 'Taxandria',
68   "year": 1994,
69   "score": 0.7453246116638184
70 }

javac AtlasVectorSearchTutorial.java
java AtlasVectorSearchTutorial

1 {
2   "plot": "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.",
3   "genres": [ 'Action', 'Adventure', 'Fantasy' ],
4   "title": 'Star Wars: Episode IV - A New Hope',
5   "released": ISODate('1977-05-25T00:00:00.000Z'),
6   "score": 0.79868483543396
7 },
8 {
9   "plot": "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.",
10   "genres": [ 'Action', 'Adventure', 'Sci-Fi' ],
11   "title": 'Dune',
12   "released": ISODate('1984-12-14T00:00:00.000Z'),
13   "score": 0.7949700355529785
14 },
15 {
16   "plot": 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...',
17   "genres": [ 'Action', 'Adventure', 'Sci-Fi' ],
18   "title": 'Message from Space',
19   "released": ISODate('1978-10-30T00:00:00.000Z'),
20   "score": 0.7913978099822998
21 },
22 {
23   "plot": 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...',
24   "genres": [ 'Action', 'Adventure', 'Sci-Fi' ],
25   "title": 'Message from Space',
26   "released": ISODate('1978-10-30T00:00:00.000Z'),
27   "score": 0.7913978099822998
28 },
29 {
30   "plot": 'After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.',
31   "genres": [ 'Action', 'Adventure', 'Fantasy' ],
32   "title": 'Star Wars: Episode V - The Empire Strikes Back',
33   "released": ISODate('1980-06-20T00:00:00.000Z'),
34   "score": 0.7809884548187256
35 },
36 {
37   "plot": 'After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.',
38   "genres": [ 'Action', 'Adventure', 'Fantasy' ],
39   "title": 'Star Wars: Episode VI - Return of the Jedi',
40   "released": ISODate('1983-05-25T00:00:00.000Z'),
41   "score": 0.7784996032714844
42 },
43 {
44   "plot": 'Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.',
45   "genres": [ 'Action', 'Adventure', 'Fantasy' ],
46   "title": 'Star Wars: Episode I - The Phantom Menace',
47   "released": ISODate('1999-05-19T00:00:00.000Z'),
48   "score": 0.7766742706298828
49 },
50 {
51   "plot": 'The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...',
52   "genres": [ 'Adventure', 'Family', 'Fantasy' ],
53   "title": 'Ewoks: The Battle for Endor',
54   "released": ISODate('1985-11-24T00:00:00.000Z'),
55   "score": 0.7676119804382324
56 },
57 {
58   "plot": 'A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.',
59   "genres": [ 'Action', 'Adventure', 'Fantasy' ],
60   "title": 'Krull',
61   "released": ISODate('1983-07-29T00:00:00.000Z'),
62   "score": 0.7624373435974121
63 },
64 {
65   "plot": 'An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.',
66   "genres": [ 'Action', 'Adventure', 'Fantasy' ],
67   "title": 'Starcrash',
68   "released": ISODate('1979-03-09T00:00:00.000Z'),
69   "score": 0.7582714557647705
70 }

Crie um arquivo denominado `atlas-vector-search-tutorial.js`.

Copie e cole a query de amostra para o operador pré-filtro que deseja testar no arquivo `atlas-vector-search-tutorial.js` .

Exclua o campo _id e inclua somente os campos title, genres, plot e year nos resultados.
Adicionar um campo chamado score que exibe a pontuação da pesquisa vetorial para cada documento nos resultados.

O filtro usa o operador de pipeline de agregação $and para localizar documentos de filme que correspondam aos seguintes critérios:

Filtre pelo campo genres para encontrar filmes que não estão no gênero drama, western ou crime, mas sim no gênero action, adventure ou family.
Filtre pelo campo year para encontrar filmes que foram lançados entre os anos 1960 e 2000.

1 const { MongoClient } = require("mongodb");
2 
3 // connect to your Atlas cluster
4 const uri = "<connection-string>";
5     
6 const client = new MongoClient(uri);
7 
8 async function run() {
9   try {
10     await client.connect();
11 
12     // set namespace
13     const database = client.db("sample_mflix");
14     const coll = database.collection("embedded_movies");
15 
16     // define pipeline
17     const agg = [
18       {
19         '$vectorSearch': {
20           'index': 'vector_index', 
21           'path': 'plot_embedding_voyage_3_large', 
22           'filter': {
23             '$and': [
24               {
25                 'genres': {
26                   '$nin': [
27                     'Drama', 'Western', 'Crime'
28                   ], 
29                   '$in': [
30                     'Action', 'Adventure', 'Family'
31                   ]
32                 }
33               }, {
34                 'year': {
35                   '$gte': 1960, 
36                   '$lte': 2000
37                 }
38               }
39             ]
40           }, 
41           'queryVector': 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
42           'numCandidates': 200, 
43           'limit': 10
44         }
45       }, {
46         '$project': {
47           '_id': 0, 
48           'title': 1, 
49           'genres': 1, 
50           'plot': 1, 
51           'year': 1, 
52           'score': {
53             '$meta': 'vectorSearchScore'
54           }
55         }
56       }
57     ];
58 
59     // run pipeline
60     const result = coll.aggregate(agg);
61 
62     // print results
63     await result.forEach((doc) => console.dir(JSON.stringify(doc)));
64   } finally {
65     await client.close();
66   }
67 }
68 run().catch(console.dir);

O filtro usa o operador de pipeline de agregação $or para localizar documentos de filme que correspondam a um dos seguintes critérios:

Filtre pelo campo genres para encontrar filmes que não são do gênero crime .
Filtre pelo campo year para encontrar filmes lançados no ano 2015 ou antes e pelo campo genres para encontrar filmes do gênero action .

1 const { MongoClient } = require("mongodb");
2 
3 // connect to your Atlas cluster
4 const uri = "<connection-string>";
5     
6 const client = new MongoClient(uri);
7 
8 async function run() {
9   try {
10     await client.connect();
11 
12     // set namespace
13     const database = client.db("sample_mflix");
14     const coll = database.collection("embedded_movies");
15 
16     // define pipeline
17     const agg = [
18       {
19         '$vectorSearch': {
20           'index': 'vector_index', 
21           'path': 'plot_embedding_voyage_3_large', 
22           'filter': {
23             '$or': [
24               {
25                 'genres': {
26                   '$ne': 'Crime'
27                 }
28               }, {
29                 '$and': [
30                   {
31                     'year': {
32                       '$lte': 2015
33                     }
34                   }, {
35                     'genres': {
36                       '$eq': 'Action'
37                     }
38                   }
39                 ]
40               }
41             ]
42           }, 
43           'queryVector': 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7962143,-0.043223642,0.033920541,-0.007764512,-0.006762639,0.017819017,-0.026621183,0.046658635,-0.004490536,0.024188064,-0.010304974,0.004651551,0.047231134,-0.038071156,0.009589351,-0.033920541,-0.027050557,0.050093625,0.008515916,-0.025189938,-0.008050761,0.011950907,0.004973582,0.014527151,-0.009374664,-0.003721241,0.019608077,0.049807377,0.016602458,0.02404494], 
44           'numCandidates': 200, 
45           'limit': 10
46         }
47       }, {
48         '$project': {
49           '_id': 0, 
50           'title': 1, 
51           'genres': 1, 
52           'plot': 1, 
53           'released': 1, 
54           'score': {
55             '$meta': 'vectorSearchScore'
56           }
57         }
58       }
59     ];
60 
61     // run pipeline
62     const result = coll.aggregate(agg);
63 
64     // print results
65     await result.forEach((doc) => console.dir(JSON.stringify(doc)));
66   } finally {
67     await client.close();
68   }
69 }
70 run().catch(console.dir);

Substitua `<connection-string>` na query e salve o arquivo.

Substitua <connection-string> pela string de conexão do seu cluster do Atlas ou da implantação local do Atlas.

Sua string de conexão deve usar o seguinte formato:

mongodb+srv://<db_username>:<db_password>@<clusterName>.<hostname>.mongodb.net

Para saber mais, consulte Conectar a um cluster via drivers.

Sua string de conexão deve usar o seguinte formato:

mongodb://localhost:<port-number>/?directConnection=true

Para saber mais, consulte Connection strings.

Consulta sua collection.

Execute o seguinte comando para consultar sua collection:

node atlas-vector-search-tutorial.js

'{"plot":"Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...","genres":["Action","Adventure","Comedy"],"title":"3 Ninjas: High Noon at Mega Mountain","year":1998,"score":0.7746343612670898}'
`{"plot":"A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...","genres":["Action","Adventure","Family"],"title":"White Wolves: A Cry in the Wild II","year":1993,"score":0.770106315612793}`
'{"plot":"A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.","genres":["Action","Adventure","Sci-Fi"],"title":"Space Raiders","year":1983,"score":0.7569591999053955}'
'{"plot":"Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.","genres":["Adventure","Family","Fantasy"],"title":"The Ewok Adventure","year":1984,"score":0.7515435218811035}'
'{"plot":"A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.","genres":["Adventure","Comedy","Fantasy"],"title":"Time Bandits","year":1981,"score":0.7513599395751953}'
'{"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.","genres":["Adventure","Family","Fantasy"],"title":"Chitty Chitty Bang Bang","year":1968,"score":0.7492260932922363}'
'{"plot":"A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.","genres":["Action","Adventure","Comedy"],"title":"Forest Warrior","year":1996,"score":0.7473714351654053}'
'{"plot":"A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.","genres":["Action","Adventure","Comedy"],"title":"Forest Warrior","year":1996,"score":0.7473714351654053}'
'{"plot":"A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.","genres":["Action","Fantasy","Adventure"],"title":"Warriors of Virtue","year":1997,"score":0.7464213371276855}'
'{"plot":"A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...","genres":["Animation","Adventure","Fantasy"],"title":"Taxandria","year":1994,"score":0.7453246116638184}'

node atlas-search-tutorial.js

`{"plot":"Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.","genres":["Action","Adventure","Fantasy"],"title":"Star Wars: Episode IV - A New Hope","released":"1977-05-25T00:00:00.000Z","score":0.79868483543396}`
`{"plot":"A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.","genres":["Action","Adventure","Sci-Fi"],"title":"Dune","released":"1984-12-14T00:00:00.000Z","score":0.7949700355529785}`
'{"plot":"In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...","genres":["Action","Adventure","Sci-Fi"],"title":"Message from Space","released":"1978-10-30T00:00:00.000Z","score":0.7913978099822998}'
'{"plot":"In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...","genres":["Action","Adventure","Sci-Fi"],"title":"Message from Space","released":"1978-10-30T00:00:00.000Z","score":0.7913978099822998}'
'{"plot":"After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.","genres":["Action","Adventure","Fantasy"],"title":"Star Wars: Episode V - The Empire Strikes Back","released":"1980-06-20T00:00:00.000Z","score":0.7809884548187256}'
'{"plot":"After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.","genres":["Action","Adventure","Fantasy"],"title":"Star Wars: Episode VI - Return of the Jedi","released":"1983-05-25T00:00:00.000Z","score":0.7784996032714844}'
'{"plot":"Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.","genres":["Action","Adventure","Fantasy"],"title":"Star Wars: Episode I - The Phantom Menace","released":"1999-05-19T00:00:00.000Z","score":0.7766742706298828}'
'{"plot":"The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...","genres":["Adventure","Family","Fantasy"],"title":"Ewoks: The Battle for Endor","released":"1985-11-24T00:00:00.000Z","score":0.7676119804382324}'
'{"plot":"A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.","genres":["Action","Adventure","Fantasy"],"title":"Krull","released":"1983-07-29T00:00:00.000Z","score":0.7624373435974121}'
'{"plot":"An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.","genres":["Action","Adventure","Fantasy"],"title":"Starcrash","released":"1979-03-09T00:00:00.000Z","score":0.7582714557647705}'

Crie um arquivo denominado `atlas-vector-search-tutorial.py`.

Copie e cole a query do operador de pré-filtro que deseja testar no arquivo `atlas-vector-search-tutorial.py` .

Exclua o campo _id e inclua somente os campos title, genres, plot e year nos resultados.
Adicionar um campo chamado score que exibe a pontuação da pesquisa vetorial para cada documento nos resultados.

O filtro usa o operador de pipeline de agregação $and para localizar documentos de filme que correspondam aos seguintes critérios:

Filtre pelo campo genres para encontrar filmes que não estão no gênero drama, western ou crime, mas sim no gênero action, adventure ou family.
Filtre pelo campo year para encontrar filmes que foram lançados entre os anos 1960 e 2000.

1 import pymongo
2 
3 # connect to your Atlas cluster
4 client = pymongo.MongoClient("<connection-string>")
5 
6 # define pipeline
7 pipeline = [
8   {
9     '$vectorSearch': {
10       'index': 'vector_index', 
11         'path': 'plot_embedding_voyage_3_large', 
12         'filter': {
13           '$and': [
14             {
15               'genres': {
16                 '$nin': [
17                   'Drama', 'Western', 'Crime'
18                 ], 
19                 '$in': [
20                   'Action', 'Adventure', 'Family'
21                 ]
22               }
23             }, {
24               'year': {
25                 '$gte': 1960, 
26                 '$lte': 2000
27               }
28             }
29           ]
30         }, 
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
32        'numCandidates': 200, 
33        'limit': 10
34     }
35   }, {
36     '$project': {
37       '_id': 0, 
38       'title': 1, 
39       'genres': 1, 
40       'plot': 1, 
41       'year': 1, 
42       'score': {
43         '$meta': 'vectorSearchScore'
44       }
45     }
46   }
47 ]
48 
49 # run pipeline
50 result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)
51 
52 # print results
53 for i in result:
54     print(i)

O filtro usa o operador de pipeline de agregação $or para localizar documentos de filme que correspondam a um dos seguintes critérios:

Filtre pelo campo genres para encontrar filmes que não são do gênero crime .
Filtre pelo campo year para encontrar filmes lançados no ano 2015 ou antes e pelo campo genres para encontrar filmes do gênero action .

1 import pymongo
2 
3 # connect to your Atlas cluster
4 client = pymongo.MongoClient("<connection-string>")
5 
6 # define pipeline
7 pipeline = [
8   {
9     '$vectorSearch': {
10       'index': 'vector_index', 
11       'path': 'plot_embedding_voyage_3_large', 
12       'filter': {
13         '$or': [
14           {
15             'genres': {
16               '$ne': 'Crime'
17             }
18           }, {
19             '$and': [
20               {
21                 'year': {
22                   '$lte': 2015
23                 }
24               }, {
25                 'genres': {
26                   '$eq': 'Action'
27                 }
28               }
29             ]
30           }
31         ]
32       }, 
33       'queryVector': 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7962143,-0.043223642,0.033920541,-0.007764512,-0.006762639,0.017819017,-0.026621183,0.046658635,-0.004490536,0.024188064,-0.010304974,0.004651551,0.047231134,-0.038071156,0.009589351,-0.033920541,-0.027050557,0.050093625,0.008515916,-0.025189938,-0.008050761,0.011950907,0.004973582,0.014527151,-0.009374664,-0.003721241,0.019608077,0.049807377,0.016602458,0.02404494], 
34       'numCandidates': 200, 
35       'limit': 10
36     }
37   }, {
38     '$project': {
39       '_id': 0, 
40       'title': 1, 
41       'genres': 1, 
42       'plot': 1, 
43       'year': 1, 
44       'score': {
45         '$meta': 'vectorSearchScore'
46       }
47     }
48   }
49 ]
50 
51 # run pipeline
52 result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)
53 
54 # print results
55 for i in result:
56     print(i)

Substitua `<connection-string>` na query e salve o arquivo.

Substitua <connection-string> pela string de conexão do seu cluster do Atlas ou da implantação local do Atlas.

Sua string de conexão deve usar o seguinte formato:

mongodb+srv://<db_username>:<db_password>@<clusterName>.<hostname>.mongodb.net

Para saber mais, consulte Conectar a um cluster via drivers.

Sua string de conexão deve usar o seguinte formato:

mongodb://localhost:<port-number>/?directConnection=true

Para saber mais, consulte Connection strings.

Execute o comando para consultar sua coleção.

python atlas-vector-search-tutorial.py

{'plot': 'Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...', 'genres': ['Action', 'Adventure', 'Comedy'], 'title': '3 Ninjas: High Noon at Mega Mountain', 'year': 1998, 'score': 0.7746343612670898}
{'plot': "A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...", 'genres': ['Action', 'Adventure', 'Family'], 'title': 'White Wolves: A Cry in the Wild II', 'year': 1993, 'score': 0.770106315612793}
{'plot': 'A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.', 'genres': ['Action', 'Adventure', 'Sci-Fi'], 'title': 'Space Raiders', 'year': 1983, 'score': 0.7569591999053955}
{'plot': 'Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.', 'genres': ['Adventure', 'Family', 'Fantasy'], 'title': 'The Ewok Adventure', 'year': 1984, 'score': 0.7515435218811035}
{'plot': 'A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.', 'genres': ['Adventure', 'Comedy', 'Fantasy'], 'title': 'Time Bandits', 'year': 1981, 'score': 0.7513599395751953}
{'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.', 'genres': ['Adventure', 'Family', 'Fantasy'], 'title': 'Chitty Chitty Bang Bang', 'year': 1968, 'score': 0.7492260932922363}
{'plot': 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.', 'genres': ['Action', 'Adventure', 'Comedy'], 'title': 'Forest Warrior', 'year': 1996, 'score': 0.7473714351654053}
{'plot': 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.', 'genres': ['Action', 'Adventure', 'Comedy'], 'title': 'Forest Warrior', 'year': 1996, 'score': 0.7473714351654053}
{'plot': 'A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.', 'genres': ['Action', 'Fantasy', 'Adventure'], 'title': 'Warriors of Virtue', 'year': 1997, 'score': 0.7464213371276855}
{'plot': 'A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...', 'genres': ['Animation', 'Adventure', 'Fantasy'], 'title': 'Taxandria', 'year': 1994, 'score': 0.7453246116638184}

python atlas-vector-search-tutorial.py

{'year': 1977, 'plot': "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.", 'genres': ['Action', 'Adventure', 'Fantasy'], 'title': 'Star Wars: Episode IV - A New Hope', 'score': 0.79868483543396}
{'plot': "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.", 'genres': ['Action', 'Adventure', 'Sci-Fi'], 'title': 'Dune', 'year': 1984, 'score': 0.7949700355529785}
{'plot': 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...', 'genres': ['Action', 'Adventure', 'Sci-Fi'], 'title': 'Message from Space', 'year': 1978, 'score': 0.7913978099822998}
{'plot': 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...', 'genres': ['Action', 'Adventure', 'Sci-Fi'], 'title': 'Message from Space', 'year': 1978, 'score': 0.7913978099822998}
{'year': 1980, 'plot': 'After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.', 'genres': ['Action', 'Adventure', 'Fantasy'], 'title': 'Star Wars: Episode V - The Empire Strikes Back', 'score': 0.7809884548187256}
{'plot': 'After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.', 'genres': ['Action', 'Adventure', 'Fantasy'], 'title': 'Star Wars: Episode VI - Return of the Jedi', 'year': 1983, 'score': 0.7784996032714844}
{'plot': 'Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.', 'genres': ['Action', 'Adventure', 'Fantasy'], 'title': 'Star Wars: Episode I - The Phantom Menace', 'year': 1999, 'score': 0.7766742706298828}
{'plot': 'The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...', 'genres': ['Adventure', 'Family', 'Fantasy'], 'title': 'Ewoks: The Battle for Endor', 'year': 1985, 'score': 0.7676119804382324}
{'plot': 'A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.', 'genres': ['Action', 'Adventure', 'Fantasy'], 'title': 'Krull', 'year': 1983, 'score': 0.7624373435974121}
{'plot': 'An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.', 'genres': ['Action', 'Adventure', 'Fantasy'], 'title': 'Starcrash', 'year': 1978, 'score': 0.7582714557647705}

Voltar

RAG local

Pesquisa híbrida

1	{
2	"fields": [
3	{
4	"type": "vector",
5	"path": "plot_embedding_voyage_3_large",
6	"numDimensions": 2048,
7	"similarity": "dotProduct",
8	"quantization": "scalar"
9	},
10	{
11	"type": "filter",
12	"path": "genres"
13	},
14	{
15	"type": "filter",
16	"path": "year"
17	}
18	]
19	}

1	db.embedded_movies.createSearchIndex(
2	"vector_index",
3	"vectorSearch",
4	{
5	"fields": [
6	{
7	"type": "vector",
8	"path": "plot_embedding_voyage_3_large",
9	"numDimensions": 2048,
10	"similarity": "dotProduct"
11	},
12	{
13	"type": "filter",
14	"path": "genres"
15	},
16	{
17	"type": "filter",
18	"path": "year"
19	}
20	]
21	}
22	);

1	namespace query_quick_start;
2
3	using MongoDB.Bson;
4	using MongoDB.Driver;
5	using System;
6	using System.Threading;
7
8	public class IndexService
9	{
10	// Replace the placeholder with your Atlas connection string
11	private const string MongoConnectionString = "<connection-string>";
12	public void CreateVectorIndex()
13	{
14	try
15	{
16	// Connect to your Atlas cluster
17	var client = new MongoClient(MongoConnectionString);
18	var database = client.GetDatabase("sample_mflix");
19	var collection = database.GetCollection<BsonDocument>("embedded_movies");
20
21	var searchIndexView = collection.SearchIndexes;
22	var name = "vector_index";
23	var type = SearchIndexType.VectorSearch;
24
25	var definition = new BsonDocument
26	{
27	{ "fields", new BsonArray
28	{
29	new BsonDocument
30	{
31	{ "type", "vector" },
32	{ "path", "plot_embedding_voyage_3_large" },
33	{ "numDimensions", 2048 },
34	{ "similarity", "dotProduct" },
35	{ "quantization", "scalar"}
36	},
37	new BsonDocument
38	{
39	{"type", "filter"},
40	{"path", "genres"}
41	},
42	new BsonDocument
43	{
44	{"type", "filter"},
45	{"path", "year"}
46	}
47	}
48	}
49	};
50
51	var model = new CreateSearchIndexModel(name, type, definition);
52
53	searchIndexView.CreateOne(model);
54	Console.WriteLine($"New search index named {name} is building.");
55
56	// Polling for index status
57	Console.WriteLine("Polling to check if the index is ready. This may take up to a minute.");
58	bool queryable = false;
59	while (!queryable)
60	{
61	var indexes = searchIndexView.List();
62	foreach (var index in indexes.ToEnumerable())
63	{
64	if (index["name"] == name)
65	{
66	queryable = index["queryable"].AsBoolean;
67	}
68	}
69	if (!queryable)
70	{
71	Thread.Sleep(5000);
72	}
73	}
74	Console.WriteLine($"{name} is ready for querying.");
75	}
76	catch (Exception e)
77	{
78	Console.WriteLine($"Exception: {e.Message}");
79	}
80	}
81	}

1	package main
2
3	import (
4	"context"
5	"fmt"
6	"log"
7	"time"
8
9	"go.mongodb.org/mongo-driver/v2/bson"
10	"go.mongodb.org/mongo-driver/v2/mongo"
11	"go.mongodb.org/mongo-driver/v2/mongo/options"
12	)
13
14	func main() {
15	ctx := context.Background()
16
17	// Replace the placeholder with your Atlas connection string
18	const uri = "<connectionString>"
19
20	// Connect to your Atlas cluster
21	clientOptions := options.Client().ApplyURI(uri)
22	client, err := mongo.Connect(clientOptions)
23	if err != nil {
24	log.Fatalf("failed to connect to the server: %v", err)
25	}
26	defer func() { _ = client.Disconnect(ctx) }()
27
28	// Set the namespace
29	coll := client.Database("sample_mflix").Collection("embedded_movies")
30	indexName := "vector_index"
31	opts := options.SearchIndexes().SetName(indexName).SetType("vectorSearch")
32
33	type vectorDefinitionField struct {
34	Type string `bson:"type"`
35	Path string `bson:"path"`
36	NumDimensions int `bson:"numDimensions"`
37	Similarity string `bson:"similarity"`
38	Quantization string `bson:"quantization"`
39	}
40
41	type filterField struct {
42	Type string `bson:"type"`
43	Path string `bson:"path"`
44	}
45
46	type indexDefinition struct {
47	Fields []vectorDefinitionField `bson:"fields"`
48	}
49
50	vectorDefinition := vectorDefinitionField{
51	Type: "vector",
52	Path: "plot_embedding_voyage_3_large",
53	NumDimensions: 2048,
54	Similarity: "dotProduct",
55	Quantization: "scalar"}
56	genreFilterDefinition := filterField{"filter", "genres"}
57	yearFilterDefinition := filterField{"filter", "year"}
58
59	indexModel := mongo.SearchIndexModel{
60	Definition: bson.D{{Key: "fields", Value: [3]interface{}{
61	vectorDefinition,
62	genreFilterDefinition,
63	yearFilterDefinition}}},
64	Options: opts,
65	}
66
67	// Create the index
68	searchIndexName, err := coll.SearchIndexes().CreateOne(ctx, indexModel)
69	if err != nil {
70	log.Fatalf("failed to create the search index: %v", err)
71	}
72	log.Println("New search index named " + searchIndexName + " is building.")
73
74	// Await the creation of the index.
75	log.Println("Polling to check if the index is ready. This may take up to a minute.")
76	searchIndexes := coll.SearchIndexes()
77	var doc bson.Raw
78	for doc == nil {
79	cursor, err := searchIndexes.List(ctx, options.SearchIndexes().SetName(searchIndexName))
80	if err != nil {
81	fmt.Errorf("failed to list search indexes: %w", err)
82	}
83
84	if !cursor.Next(ctx) {
85	break
86	}
87
88	name := cursor.Current.Lookup("name").StringValue()
89	queryable := cursor.Current.Lookup("queryable").Boolean()
90	if name == searchIndexName && queryable {
91	doc = cursor.Current
92	} else {
93	time.Sleep(5 * time.Second)
94	}
95	}
96
97	log.Println(searchIndexName + " is ready for querying.")
98	}

1	import com.mongodb.client.MongoClient;
2	import com.mongodb.client.MongoClients;
3	import com.mongodb.client.MongoCollection;
4	import com.mongodb.client.MongoDatabase;
5	import com.mongodb.client.model.SearchIndexModel;
6	import com.mongodb.client.model.SearchIndexType;
7	import org.bson.Document;
8	import org.bson.conversions.Bson;
9
10	import java.util.Arrays;
11	import java.util.Collections;
12	import java.util.List;
13
14	public class VectorIndex {
15
16	public static void main(String[] args) {
17
18	// Replace the placeholder with your Atlas connection string
19	String uri = "<connectionString>";
20
21	// Connect to your Atlas cluster
22	try (MongoClient mongoClient = MongoClients.create(uri)) {
23
24	// Set the namespace
25	MongoDatabase database = mongoClient.getDatabase("sample_mflix");
26	MongoCollection<Document> collection = database.getCollection("embedded_movies");
27
28	// Define the index details with the filter fields
29	String indexName = "vector_index";
30	Bson definition = new Document(
31	"fields",
32	Arrays.asList(
33	new Document("type", "vector")
34	.append("path", "plot_embedding_voyage_3_large")
35	.append("numDimensions", 2048)
36	.append("similarity", "dotProduct")
37	.append("quantization", "scalar"),
38	new Document("type", "filter")
39	.append("path", "genres"),
40	new Document("type", "filter")
41	.append("path", "year")));
42
43	// Define the index model
44	SearchIndexModel indexModel = new SearchIndexModel(
45	indexName,
46	definition,
47	SearchIndexType.vectorSearch());
48
49	// Create the index using the defined model
50	List<String> result = collection.createSearchIndexes(Collections.singletonList(indexModel));
51	System.out.println("Successfully created vector index named: " + result.get(0));
52	System.out.println("It may take up to a minute for the index to leave the BUILDING status and become queryable.");
53
54	// Wait for index to build and become queryable
55	System.out.println("Polling to confirm the index has left the BUILDING status.");
56	// No special handling in case of a timeout. Custom handling can be implemented.
57	waitForIndex(collection, indexName);
58	}
59	}
60
61	/**
62	* Polls the collection to check whether the specified index is ready to query.
63	*/
64	public static <T> boolean waitForIndex(final MongoCollection<T> collection, final String indexName) {
65	long startTime = System.nanoTime();
66	long timeoutNanos = TimeUnit.SECONDS.toNanos(60);
67	while (System.nanoTime() - startTime < timeoutNanos) {
68	Document indexRecord = StreamSupport.stream(collection.listSearchIndexes().spliterator(), false)
69	.filter(index -> indexName.equals(index.getString("name")))
70	.findAny().orElse(null);
71	if (indexRecord != null) {
72	if ("FAILED".equals(indexRecord.getString("status"))) {
73	throw new RuntimeException("Search index has FAILED status.");
74	}
75	if (indexRecord.getBoolean("queryable")) {
76	System.out.println(indexName + " index is ready to query");
77	return true;
78	}
79	}
80	try {
81	Thread.sleep(100); // busy-wait, avoid in production
82	} catch (InterruptedException e) {
83	Thread.currentThread().interrupt();
84	throw new RuntimeException(e);
85	}
86	}
87	return false;
88	}
89	}

1	const { MongoClient } = require("mongodb");
2
3	// connect to your Atlas deployment
4	const uri = "<connectionString>";
5
6	const client = new MongoClient(uri);
7
8	async function run() {
9	try {
10	const database = client.db("sample_mflix");
11	const collection = database.collection("embedded_movies");
12
13	// define your MongoDB Vector Search index
14	const index = {
15	name: "vector_index",
16	type: "vectorSearch",
17	definition: {
18	"fields": [
19	{
20	"type": "vector",
21	"numDimensions": 2048,
22	"path": "plot_embedding_voyage_3_large",
23	"similarity": "dotProduct",
24	"quantization": "scalar"
25	},
26	{
27	"type": "filter",
28	"path": "genres"
29	},
30	{
31	"type": "filter",
32	"path": "year"
33	}
34	]
35	}
36	}
37
38	// run the helper method
39	const result = await collection.createSearchIndex(index);
40	console.log(`New search index named ${result} is building.`);
41
42	// wait for the index to be ready to query
43	console.log("Polling to check if the index is ready. This may take up to a minute.")
44	let isQueryable = false;
45	while (!isQueryable) {
46	const cursor = collection.listSearchIndexes();
47	for await (const index of cursor) {
48	if (index.name === result) {
49	if (index.queryable) {
50	console.log(`${result} is ready for querying.`);
51	isQueryable = true;
52	} else {
53	await new Promise(resolve => setTimeout(resolve, 5000));
54	}
55	}
56	}
57	}
58	} finally {
59	await client.close();
60	}
61	}
62	run().catch(console.dir);

1	from pymongo.mongo_client import MongoClient
2	from pymongo.operations import SearchIndexModel
3	import time
4
5	# Connect to your Atlas deployment
6	uri = "<connectionString>"
7	client = MongoClient(uri)
8
9	# Access your database and collection
10	database = client["sample_mflix"]
11	collection = database["embedded_movies"]
12
13	# Create your index model, then create the search index
14	search_index_model = SearchIndexModel(
15	definition={
16	"fields": [
17	{
18	"type": "vector",
19	"path": "plot_embedding_voyage_3_large",
20	"numDimensions": 2048,
21	"similarity": "dotProduct",
22	"quantization": "scalar"
23	},
24	{
25	"type": "filter",
26	"path": "genres"
27	},
28	{
29	"type": "filter",
30	"path": "year"
31	}
32	]
33	},
34	name="vector_index",
35	type="vectorSearch"
36	)
37
38	result = collection.create_search_index(model=search_index_model)
39	print("New search index named " + result + " is building.")
40
41	# Wait for initial sync to complete
42	print("Polling to check if the index is ready. This may take up to a minute.")
43	predicate=None
44	if predicate is None:
45	predicate = lambda index: index.get("queryable") is True
46
47	while True:
48	indices = list(collection.list_search_indexes(result))
49	if len(indices) and predicate(indices[0]):
50	break
51	time.sleep(5)
52	print(result + " is ready for querying.")
53
54	client.close()

1	db.embedded_movies.aggregate([
2	{
3	"$vectorSearch": {
4	"index": "vector_index",
5	"path": "plot_embedding_voyage_3_large",
6	"filter": {
7	"$and": [{
8	"genres": {
9	"$nin": ["Drama", "Western", "Crime"],
10	"$in": ["Action", "Adventure", "Family"]
11	},
12	}, {
13	"year": {
14	"$gte": 1960,
15	"$lte": 2000
16	}
17	}]
18	},
19	"queryVector": KIDS_ADVENTURE_EMBEDDING,
20	"numCandidates": 200,
21	"limit": 10
22	}
23	},
24	{
25	"$project": {
26	"_id": 0,
27	"title": 1,
28	"genres": 1,
29	"plot": 1,
30	"year": 1,
31	"score": { $meta: "vectorSearchScore" }
32	}
33	}
34	])

1	[
2	{
3	plot: 'Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...',
4	genres: [ 'Action', 'Adventure', 'Comedy' ],
5	title: '3 Ninjas: High Noon at Mega Mountain',
6	year: 1998,
7	score: 0.7746343612670898
8	},
9	{
10	plot: "A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...",
11	genres: [ 'Action', 'Adventure', 'Family' ],
12	title: 'White Wolves: A Cry in the Wild II',
13	year: 1993,
14	score: 0.770106315612793
15	},
16	{
17	plot: 'A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.',
18	genres: [ 'Action', 'Adventure', 'Sci-Fi' ],
19	title: 'Space Raiders',
20	year: 1983,
21	score: 0.7569591999053955
22	},
23	{
24	plot: 'Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.',
25	genres: [ 'Adventure', 'Family', 'Fantasy' ],
26	title: 'The Ewok Adventure',
27	year: 1984,
28	score: 0.7515435218811035
29	},
30	{
31	plot: 'A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.',
32	genres: [ 'Adventure', 'Comedy', 'Fantasy' ],
33	title: 'Time Bandits',
34	year: 1981,
35	score: 0.7513599395751953
36	},
37	{
38	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.',
39	genres: [ 'Adventure', 'Family', 'Fantasy' ],
40	title: 'Chitty Chitty Bang Bang',
41	year: 1968,
42	score: 0.7492260932922363
43	},
44	{
45	plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.',
46	genres: [ 'Action', 'Adventure', 'Comedy' ],
47	title: 'Forest Warrior',
48	year: 1996,
49	score: 0.7473714351654053
50	},
51	{
52	plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.',
53	genres: [ 'Action', 'Adventure', 'Comedy' ],
54	title: 'Forest Warrior',
55	year: 1996,
56	score: 0.7473714351654053
57	},
58	{
59	plot: 'A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.',
60	genres: [ 'Action', 'Fantasy', 'Adventure' ],
61	title: 'Warriors of Virtue',
62	year: 1997,
63	score: 0.7464213371276855
64	},
65	{
66	plot: 'A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...',
67	genres: [ 'Animation', 'Adventure', 'Fantasy' ],
68	title: 'Taxandria',
69	year: 1994,
70	score: 0.7453246116638184
71	}
72	]

1	[
2	{
3	plot: "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.",
4	genres: [ 'Action', 'Adventure', 'Fantasy' ],
5	title: 'Star Wars: Episode IV - A New Hope',
6	released: ISODate('1977-05-25T00:00:00.000Z'),
7	score: 0.79868483543396
8	},
9	{
10	plot: "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.",
11	genres: [ 'Action', 'Adventure', 'Sci-Fi' ],
12	title: 'Dune',
13	released: ISODate('1984-12-14T00:00:00.000Z'),
14	score: 0.7949700355529785
15	},
16	{
17	plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...',
18	genres: [ 'Action', 'Adventure', 'Sci-Fi' ],
19	title: 'Message from Space',
20	released: ISODate('1978-10-30T00:00:00.000Z'),
21	score: 0.7913978099822998
22	},
23	{
24	plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...',
25	genres: [ 'Action', 'Adventure', 'Sci-Fi' ],
26	title: 'Message from Space',
27	released: ISODate('1978-10-30T00:00:00.000Z'),
28	score: 0.7913978099822998
29	},
30	{
31	plot: 'After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.',
32	genres: [ 'Action', 'Adventure', 'Fantasy' ],
33	title: 'Star Wars: Episode V - The Empire Strikes Back',
34	released: ISODate('1980-06-20T00:00:00.000Z'),
35	score: 0.7809884548187256
36	},
37	{
38	plot: 'After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.',
39	genres: [ 'Action', 'Adventure', 'Fantasy' ],
40	title: 'Star Wars: Episode VI - Return of the Jedi',
41	released: ISODate('1983-05-25T00:00:00.000Z'),
42	score: 0.7784996032714844
43	},
44	{
45	plot: 'Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.',
46	genres: [ 'Action', 'Adventure', 'Fantasy' ],
47	title: 'Star Wars: Episode I - The Phantom Menace',
48	released: ISODate('1999-05-19T00:00:00.000Z'),
49	score: 0.7766742706298828
50	},
51	{
52	plot: 'The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...',
53	genres: [ 'Adventure', 'Family', 'Fantasy' ],
54	title: 'Ewoks: The Battle for Endor',
55	released: ISODate('1985-11-24T00:00:00.000Z'),
56	score: 0.7676119804382324
57	},
58	{
59	plot: 'A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.',
60	genres: [ 'Action', 'Adventure', 'Fantasy' ],
61	title: 'Krull',
62	released: ISODate('1983-07-29T00:00:00.000Z'),
63	score: 0.7624373435974121
64	},
65	{
66	plot: 'An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.',
67	genres: [ 'Action', 'Adventure', 'Fantasy' ],
68	title: 'Starcrash',
69	released: ISODate('1979-03-09T00:00:00.000Z'),
70	score: 0.7582714557647705
71	}
72	]

1	using query_quick_start;
2
3	var dataService = new DataService();
4	var results = dataService.PerformVectorQuery();
5	if (results != null)
6	{
7	foreach (var document in results)
8	{
9	Console.WriteLine(document);
10	}
11	}
12	else
13	{
14	Console.WriteLine("The query returned no results.");
15	}

1	{ "plot" : "Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...", "genres" : ["Action", "Adventure", "Comedy"], "title" : "3 Ninjas: High Noon at Mega Mountain", "year" : 1998, "score" : 0.77463436126708984 }
2	{ "plot" : "A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...", "genres" : ["Action", "Adventure", "Family"], "title" : "White Wolves: A Cry in the Wild II", "year" : 1993, "score" : 0.77010631561279297 }
3	{ "plot" : "A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.", "genres" : ["Action", "Adventure", "Sci-Fi"], "title" : "Space Raiders", "year" : 1983, "score" : 0.75695919990539551 }
4	{ "plot" : "Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.", "genres" : ["Adventure", "Family", "Fantasy"], "title" : "The Ewok Adventure", "year" : 1984, "score" : 0.75154352188110352 }
5	{ "plot" : "A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.", "genres" : ["Adventure", "Comedy", "Fantasy"], "title" : "Time Bandits", "year" : 1981, "score" : 0.75135993957519531 }
6	{ "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.", "genres" : ["Adventure", "Family", "Fantasy"], "title" : "Chitty Chitty Bang Bang", "year" : 1968, "score" : 0.74922609329223633 }
7	{ "plot" : "A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.", "genres" : ["Action", "Adventure", "Comedy"], "title" : "Forest Warrior", "year" : 1996, "score" : 0.74737143516540527 }
8	{ "plot" : "A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.", "genres" : ["Action", "Adventure", "Comedy"], "title" : "Forest Warrior", "year" : 1996, "score" : 0.74737143516540527 }
9	{ "plot" : "A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.", "genres" : ["Action", "Fantasy", "Adventure"], "title" : "Warriors of Virtue", "year" : 1997, "score" : 0.74642133712768555 }
10	{ "plot" : "A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...", "genres" : ["Animation", "Adventure", "Fantasy"], "title" : "Taxandria", "year" : 1994, "score" : 0.74532461166381836 }

1	{ "year" : 1977, "plot" : "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Star Wars: Episode IV - A New Hope", "score" : 0.79868483543395996 }
2	{ "plot" : "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.", "genres" : ["Action", "Adventure", "Sci-Fi"], "title" : "Dune", "year" : 1984, "score" : 0.79497003555297852 }
3	{ "plot" : "In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...", "genres" : ["Action", "Adventure", "Sci-Fi"], "title" : "Message from Space", "year" : 1978, "score" : 0.7913978099822998 }
4	{ "plot" : "In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...", "genres" : ["Action", "Adventure", "Sci-Fi"], "title" : "Message from Space", "year" : 1978, "score" : 0.7913978099822998 }
5	{ "year" : 1980, "plot" : "After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Star Wars: Episode V - The Empire Strikes Back", "score" : 0.78098845481872559 }
6	{ "plot" : "After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Star Wars: Episode VI - Return of the Jedi", "year" : 1983, "score" : 0.77849960327148438 }
7	{ "plot" : "Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Star Wars: Episode I - The Phantom Menace", "year" : 1999, "score" : 0.77667427062988281 }
8	{ "plot" : "The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...", "genres" : ["Adventure", "Family", "Fantasy"], "title" : "Ewoks: The Battle for Endor", "year" : 1985, "score" : 0.76761198043823242 }
9	{ "plot" : "A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Krull", "year" : 1983, "score" : 0.76243734359741211 }
10	{ "plot" : "An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Starcrash", "year" : 1978, "score" : 0.75827145576477051 }

1	Title: 3 Ninjas: High Noon at Mega Mountain
2	Plot: Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...
3	Genres: [Action Adventure Comedy]
4	Year: 1998
5	Score: 0.7746343612670898
6
7	Title: White Wolves: A Cry in the Wild II
8	Plot: A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...
9	Genres: [Action Adventure Family]
10	Year: 1993
11	Score: 0.770106315612793
12
13	Title: Space Raiders
14	Plot: A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.
15	Genres: [Action Adventure Sci-Fi]
16	Year: 1983
17	Score: 0.7569591999053955
18
19	Title: The Ewok Adventure
20	Plot: Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.
21	Genres: [Adventure Family Fantasy]
22	Year: 1984
23	Score: 0.7515435218811035
24
25	Title: Time Bandits
26	Plot: A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.
27	Genres: [Adventure Comedy Fantasy]
28	Year: 1981
29	Score: 0.7513599395751953
30
31	Title: Chitty Chitty Bang Bang
32	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.
33	Genres: [Adventure Family Fantasy]
34	Year: 1968
35	Score: 0.7492260932922363
36
37	Title: Forest Warrior
38	Plot: A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.
39	Genres: [Action Adventure Comedy]
40	Year: 1996
41	Score: 0.7473714351654053
42
43	Title: Forest Warrior
44	Plot: A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.
45	Genres: [Action Adventure Comedy]
46	Year: 1996
47	Score: 0.7473714351654053
48
49	Title: Warriors of Virtue
50	Plot: A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.
51	Genres: [Action Fantasy Adventure]
52	Year: 1997
53	Score: 0.7464213371276855
54
55	Title: Taxandria
56	Plot: A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...
57	Genres: [Animation Adventure Fantasy]
58	Year: 1994
59	Score: 0.7453246116638184

1	Title: Star Wars: Episode IV - A New Hope
2	Plot: Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.
3	Genres: [Action Adventure Fantasy]
4	Year: 1977
5	Score: 0.79868483543396
6
7	Title: Dune
8	Plot: A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.
9	Genres: [Action Adventure Sci-Fi]
10	Year: 1984
11	Score: 0.7949700355529785
12
13	Title: Message from Space
14	Plot: In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...
15	Genres: [Action Adventure Sci-Fi]
16	Year: 1978
17	Score: 0.7913978099822998
18
19	Title: Message from Space
20	Plot: In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...
21	Genres: [Action Adventure Sci-Fi]
22	Year: 1978
23	Score: 0.7913978099822998
24
25	Title: Star Wars: Episode V - The Empire Strikes Back
26	Plot: After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.
27	Genres: [Action Adventure Fantasy]
28	Year: 1980
29	Score: 0.7809884548187256
30
31	Title: Star Wars: Episode VI - Return of the Jedi
32	Plot: After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.
33	Genres: [Action Adventure Fantasy]
34	Year: 1983
35	Score: 0.7784996032714844
36
37	Title: Star Wars: Episode I - The Phantom Menace
38	Plot: Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.
39	Genres: [Action Adventure Fantasy]
40	Year: 1999
41	Score: 0.7766742706298828
42
43	Title: Ewoks: The Battle for Endor
44	Plot: The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...
45	Genres: [Adventure Family Fantasy]
46	Year: 1985
47	Score: 0.7676119804382324
48
49	Title: Krull
50	Plot: A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.
51	Genres: [Action Adventure Fantasy]
52	Year: 1983
53	Score: 0.7624373435974121
54
55	Title: Starcrash
56	Plot: An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.
57	Genres: [Action Adventure Fantasy]
58	Year: 1978
59	Score: 0.7582714557647705

1	{
2	"plot": 'Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...',
3	"genres": [ 'Action', 'Adventure', 'Comedy' ],
4	"title": '3 Ninjas: High Noon at Mega Mountain',
5	"year": 1998,
6	"score": 0.7746343612670898
7	},
8	{
9	"plot": "A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...",
10	"genres": [ 'Action', 'Adventure', 'Family' ],
11	"title": 'White Wolves: A Cry in the Wild II',
12	"year": 1993,
13	"score": 0.770106315612793
14	},
15	{
16	"plot": 'A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.',
17	"genres": [ 'Action', 'Adventure', 'Sci-Fi' ],
18	"title": 'Space Raiders',
19	"year": 1983,
20	"score": 0.7569591999053955
21	},
22	{
23	"plot": 'Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.',
24	"genres": [ 'Adventure', 'Family', 'Fantasy' ],
25	"title": 'The Ewok Adventure',
26	"year": 1984,
27	"score": 0.7515435218811035
28	},
29	{
30	"plot": 'A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.',
31	"genres": [ 'Adventure', 'Comedy', 'Fantasy' ],
32	"title": 'Time Bandits',
33	"year": 1981,
34	"score": 0.7513599395751953
35	},
36	{
37	"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.',
38	"genres": [ 'Adventure', 'Family', 'Fantasy' ],
39	"title": 'Chitty Chitty Bang Bang',
40	"year": 1968,
41	"score": 0.7492260932922363
42	},
43	{
44	"plot": 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.',
45	"genres": [ 'Action', 'Adventure', 'Comedy' ],
46	"title": 'Forest Warrior',
47	"year": 1996,
48	"score": 0.7473714351654053
49	},
50	{
51	"plot": 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.',
52	"genres": [ 'Action', 'Adventure', 'Comedy' ],
53	"title": 'Forest Warrior',
54	"year": 1996,
55	"score": 0.7473714351654053
56	},
57	{
58	"plot": 'A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.',
59	"genres": [ 'Action', 'Fantasy', 'Adventure' ],
60	"title": 'Warriors of Virtue',
61	"year": 1997,
62	"score": 0.7464213371276855
63	},
64	{
65	"plot": 'A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...',
66	"genres": [ 'Animation', 'Adventure', 'Fantasy' ],
67	"title": 'Taxandria',
68	"year": 1994,
69	"score": 0.7453246116638184
70	}

1	{
2	"plot": "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.",
3	"genres": [ 'Action', 'Adventure', 'Fantasy' ],
4	"title": 'Star Wars: Episode IV - A New Hope',
5	"released": ISODate('1977-05-25T00:00:00.000Z'),
6	"score": 0.79868483543396
7	},
8	{
9	"plot": "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.",
10	"genres": [ 'Action', 'Adventure', 'Sci-Fi' ],
11	"title": 'Dune',
12	"released": ISODate('1984-12-14T00:00:00.000Z'),
13	"score": 0.7949700355529785
14	},
15	{
16	"plot": 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...',
17	"genres": [ 'Action', 'Adventure', 'Sci-Fi' ],
18	"title": 'Message from Space',
19	"released": ISODate('1978-10-30T00:00:00.000Z'),
20	"score": 0.7913978099822998
21	},
22	{
23	"plot": 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...',
24	"genres": [ 'Action', 'Adventure', 'Sci-Fi' ],
25	"title": 'Message from Space',
26	"released": ISODate('1978-10-30T00:00:00.000Z'),
27	"score": 0.7913978099822998
28	},
29	{
30	"plot": 'After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.',
31	"genres": [ 'Action', 'Adventure', 'Fantasy' ],
32	"title": 'Star Wars: Episode V - The Empire Strikes Back',
33	"released": ISODate('1980-06-20T00:00:00.000Z'),
34	"score": 0.7809884548187256
35	},
36	{
37	"plot": 'After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.',
38	"genres": [ 'Action', 'Adventure', 'Fantasy' ],
39	"title": 'Star Wars: Episode VI - Return of the Jedi',
40	"released": ISODate('1983-05-25T00:00:00.000Z'),
41	"score": 0.7784996032714844
42	},
43	{
44	"plot": 'Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.',
45	"genres": [ 'Action', 'Adventure', 'Fantasy' ],
46	"title": 'Star Wars: Episode I - The Phantom Menace',
47	"released": ISODate('1999-05-19T00:00:00.000Z'),
48	"score": 0.7766742706298828
49	},
50	{
51	"plot": 'The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...',
52	"genres": [ 'Adventure', 'Family', 'Fantasy' ],
53	"title": 'Ewoks: The Battle for Endor',
54	"released": ISODate('1985-11-24T00:00:00.000Z'),
55	"score": 0.7676119804382324
56	},
57	{
58	"plot": 'A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.',
59	"genres": [ 'Action', 'Adventure', 'Fantasy' ],
60	"title": 'Krull',
61	"released": ISODate('1983-07-29T00:00:00.000Z'),
62	"score": 0.7624373435974121
63	},
64	{
65	"plot": 'An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.',
66	"genres": [ 'Action', 'Adventure', 'Fantasy' ],
67	"title": 'Starcrash',
68	"released": ISODate('1979-03-09T00:00:00.000Z'),
69	"score": 0.7582714557647705
70	}

Pré-requisitos

Crie o índice de Vector Search do MongoDB

Acesso necessário

Procedimento

No Atlas, VáGo para a .leafygreen-ui-8n27nz{font-style:normal;font-weight:700;}Clusters página do seu projeto.

Acesse a página Pesquisa do MongoDB do seu cluster.

Clique em Create Search Index.

Inicie a configuração do seu índice.

Defina o índice do MongoDB Vector Search .

Clique em Next para revisar o índice.

Clique em Create Vector Search Index.

Feche a janela modal You're All Set! clicando no botão Close.

Verifique o status.

Observação

Conecte-se ao seu cluster no mongosh.

Mude para o banco de dados em que deseja criar o índice.

Exemplo

Execute o método db.collection.createSearchIndex().

Adicione o driver C# do MongoDB ao seu projeto .NET.

Defina o índice.

Substitua o <connection-string> no código e salve o arquivo.

Update Program.cs.

Salve e execute o projeto.

Adicione o Driver Go ao seu projeto.

Defina o índice.

Substitua o <connection-string> no código e salve o arquivo.

Execute o seguinte comando para criar o índice.

Adicione o Java Sync Driver do MongoDB ao seu projeto.

Defina o índice.

Substitua o <connection-string> no código e salve o arquivo.

Execute o arquivo para criar o índice.

Adicione o Driver Node.js do MongoDB ao seu projeto.

Dica

Defina o índice.

Substitua o <connection-string> no código e salve o arquivo.

Execute o seguinte comando para criar o índice.

Adicione o Driver PyMongo ao seu projeto.

Defina o índice.

Substitua o <connection-string> no código e salve o arquivo.

Execute o seguinte comando para criar o índice.

Executar queries usando a fase do pipeline de agregação $vectorSearch

Visão geral

Procedimento

Prepare suas incorporações de query.

Conecte-se ao seu cluster no mongosh.

Carregue as incorporações da query no mongosh.

Mudar para o banco de dados sample_mflix.

Execute a query semântica do Atlas Search nos campos indexados.

Prepare suas incorporações de query.

Conecte-se ao seu cluster no mongosh.

Carregue as incorporações da query no mongosh.

Mudar para o banco de dados sample_mflix.

Execute a query semântica do Atlas Search nos campos indexados.

Crie um arquivo denominado DataService.cs.

Copie e cole o código do operador pré-filtro que deseja testar no arquivo DataService.cs.

Substitua <connection-string> na query e salve o arquivo.

Update Program.cs.

Salve e execute o projeto.

Crie um arquivo denominado AtlasVectorSearchTutorial.go.

Copie e cole o código do operador pré-filtro que deseja testar no arquivo AtlasVectorSearchTutorial.go.

Substitua <connection-string> na query e salve o arquivo.

Compile e execute o arquivo AtlasVectorSearchTutorial.go.

Crie um arquivo denominado AtlasVectorSearchTutorial.java.

Copie e cole o código do operador pré-filtro que deseja testar no arquivo AtlasVectorSearchTutorial.java.

Substitua <connection-string> na query e salve o arquivo.

Compile e execute o arquivo AtlasVectorSearchTutorial.java.

Crie um arquivo denominado atlas-vector-search-tutorial.js.

Copie e cole a query de amostra para o operador pré-filtro que deseja testar no arquivo atlas-vector-search-tutorial.js .

Substitua <connection-string> na query e salve o arquivo.

Consulta sua collection.

Crie um arquivo denominado atlas-vector-search-tutorial.py.

Copie e cole a query do operador de pré-filtro que deseja testar no arquivo atlas-vector-search-tutorial.py .

Substitua <connection-string> na query e salve o arquivo.

Execute o comando para consultar sua coleção.

Receber um selo de habilidade

No Atlas, VáGo para a Clusters página do seu projeto.

Conecte-se ao seu cluster no `mongosh`.

Execute o método `db.collection.createSearchIndex()`.

Substitua o `<connection-string>` no código e salve o arquivo.

Update `Program.cs`.

Substitua o `<connection-string>` no código e salve o arquivo.

Substitua o `<connection-string>` no código e salve o arquivo.

Substitua o `<connection-string>` no código e salve o arquivo.

Substitua o `<connection-string>` no código e salve o arquivo.

Executar queries usando a fase do pipeline de agregação `$vectorSearch`

Conecte-se ao seu cluster no `mongosh`.

Carregue as incorporações da query no `mongosh`.

Mudar para o banco de dados `sample_mflix`.

Conecte-se ao seu cluster no `mongosh`.

Carregue as incorporações da query no `mongosh`.

Mudar para o banco de dados `sample_mflix`.

Crie um arquivo denominado `DataService.cs`.

Copie e cole o código do operador pré-filtro que deseja testar no arquivo `DataService.cs`.

Substitua `<connection-string>` na query e salve o arquivo.

Update `Program.cs`.

Crie um arquivo denominado `AtlasVectorSearchTutorial.go`.

Copie e cole o código do operador pré-filtro que deseja testar no arquivo `AtlasVectorSearchTutorial.go`.

Substitua `<connection-string>` na query e salve o arquivo.

Compile e execute o arquivo `AtlasVectorSearchTutorial.go`.

Crie um arquivo denominado `AtlasVectorSearchTutorial.java`.

Copie e cole o código do operador pré-filtro que deseja testar no arquivo `AtlasVectorSearchTutorial.java`.

Substitua `<connection-string>` na query e salve o arquivo.

Compile e execute o arquivo `AtlasVectorSearchTutorial.java`.

Crie um arquivo denominado `atlas-vector-search-tutorial.js`.

Copie e cole a query de amostra para o operador pré-filtro que deseja testar no arquivo `atlas-vector-search-tutorial.js` .

Substitua `<connection-string>` na query e salve o arquivo.

Crie um arquivo denominado `atlas-vector-search-tutorial.py`.

Copie e cole a query do operador de pré-filtro que deseja testar no arquivo `atlas-vector-search-tutorial.py` .

Substitua `<connection-string>` na query e salve o arquivo.