如何对 Atlas 集群中的数据执行语义搜索

本教程介绍如何对集群上 sample_mflix.embedded_movies集合的 plot_embedding_voyage_3_large字段中的向量执行 ANN 搜索。为了演示这一点，它将带您完成以下步骤：

在 sample_mflix.embedded_movies集合中名为 plot_embedding_voyage_3_large 的数字字段上创建MongoDB Vector Search索引。
针对 sample_mflix.embedded_movies集合中的 plot_embedding_voyage_3_large字段运行MongoDB Vector Search 查询。

➤ 使用选择语言下拉菜单选择用于创建MongoDB Vector Search索引并运行查询的客户端。

使用本教程的可运行版本以作为 Python 笔记本。

先决条件

在开始之前，请完成通用先决条件。本教程包括以下客户端的示例：

创建MongoDB Vector Search 索引

本部分演示如何在 sample_mflix.embedded_movies集合中的 plot_embedding_voyage_3_large字段上创建MongoDB Vector Search索引，以便对该字段运行向量查询。

必需的访问权限

要创建MongoDB Vector Search索引，您必须对项目具有 Project Data Access Admin 或更高访问权限。

步骤

在Atlas中，转到集群的Search & Vector Search 页面。

您可以从 Search & Vector Search 选项或 Data Explorer 转到MongoDB搜索页面。

如果尚未显示，请从导航栏上的 Organizations 菜单中选择包含项目的组织。
如果尚未显示，请从导航栏的 Projects 菜单中选择您的项目。
在侧边栏中，单击 Database 标题下的 Search & Vector Search。
如果没有集群，则请单击 Create cluster 来创建一个。要了解更多信息，请参阅创建集群。
如果您的项目有多个集群，请从 Select cluster 下拉列表中选择要使用的集群，然后单击 Go to Atlas Search。
显示“搜索和向量搜索”页面。

如果尚未显示，请从导航栏上的 Organizations 菜单中选择包含项目的组织。
如果尚未显示，请从导航栏的 Projects 菜单中选择您的项目。
在侧边栏中，单击 Database 标题下的 Data Explorer。
展开数据库并选择集合。
单击该集合的 Indexes 标签页。
将显示 Atlas Search 页面。

单击 Create Search Index（保存并关闭）。

开始您的索引配置。

在页面上进行以下选择，然后单击 Next。

Search Type	选择 Vector Search 索引类型。
Index Name and Data Source	指定以下信息： Index Name: `vector_index` Database and Collection: `sample_mflix` database `embedded_movies` 集合
Configuration Method	For a guided experience, select Visual Editor. To edit the raw index definition, select JSON Editor.

重要提示：

默认下， MongoDB Search索引名为 default。如果保留此名称，则该索引将是任何未在运算符中指定其他 index 选项的MongoDB搜索查询的默认搜索索引。如果您要创建多个索引，我们建议您在所有索引之间保持一致的描述性命名约定。

定义MongoDB Vector Search索引。

在此步骤中，您将为以下字段定义 vectorSearch 类型的索引：

plot_embedding_voyage_3_large 字段作为向量类型。plot_embedding_voyage_3_large 字段包含使用 Voyage AI 的 voyage-3-large 嵌入模型创建的嵌入。此索引定义指定了 2048 个向量维度，并使用 dotProduct 来衡量相似性。
genres 字段作为筛选器类型，用于按字段中的字符串值对数据进行预筛选。
year 字段作为筛选器类型，用于按字段中的数值对数据进行预筛选。

Atlas 会自动检测包含向量嵌入的字段及其对应的维度。对于 sample_mflix.embedded_movies 集合，会显示 plot_embedding 和 plot_embedding_voyage_3_large 字段。在本教程中，您只需索引 plot_embedding_voyage_3_large 字段。

要配置该索引，请执行以下操作：

从 Similarity Method 下拉列表中选择 Dot Product。
单击 Advanced，然后从下拉菜单中选择 Scalar 量化。
在 Filter Field 部分，指定 genres 与 year 字段以按它们来过滤该数据。

将默认定义替换为以下索引定义。

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 }

单击 Next（下一步）以查看索引。

单击 Create Vector Search Index（保存并关闭）。

Atlas 会显示一个模态窗口，让您知道您的索引正在构建中。

通过单击 Close（关闭）按钮关闭 You're All Set!（一切就绪！）模态窗口。

检查状态。

新创建的索引会显示在 Atlas Search 标签页上。在构建索引期间，Status 字段显示为 Build in Progress。索引构建完成后，Status 字段将显示为 Active。

注意

较大的集合需要较长的索引时间。索引构建完成后，您将收到电子邮件通知。

通过 `mongosh` 连接到您的集群。

在终端窗口中打开 mongosh 并连接到您的集群。有关连接的详细说明，请参阅通过 mongosh 连接。

切换到您要创建索引的数据库。

例子

use sample_mflix

switched to db sample_mflix

运行 `db.collection.createSearchIndex()` 方法。

以下索引定义将 plot_embedding_voyage_3_large 字段索引为 vector 类型，并将 genres 和 year 字段索引为 filter 类型。

"plot_embedding_voyage_3_large 字段包含使用 Voyage AI 的 voyage-3-large 嵌入模型创建的 2048 个向量维度嵌入。""该索引使用 dotProduct 函数来衡量相似度。"

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 );

将 MongoDB C# 驱动程序添加到 .NET 项目中。

将 MongoDB C# 驱动程序作为依赖项添加到项目中：

dotnet add package MongoDB.Driver

定义索引。

创建一个名为 IndexService.cs 的文件，然后将以下代码复制并粘贴到该文件中。

此索引定义在MongoDB Vector Search索引中将 plot_embedding_voyage_3_large字段索引为 vector 类型，并将 genres 和 year 字段索引为 filter 类型。plot_embedding_voyage_3_large字段包含使用 Voyage AI 的 voyage-3-large 嵌入模型创建的嵌入。索引定义指定了 2048 个向量维度，并使用 dotProduct 函数测量相似性。

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 }

`<connection-string>`替换代码中的，然后保存文件。

将 <connection-string> 替换为您的 Atlas 集群或本地部署的连接字符串。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅通过驱动程序连接到集群。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅连接字符串。

Update `Program.cs`.

更新 Program.cs 以初始化 IndexService 并调用该方法来创建索引。

Program.cs

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

保存并运行该项目。

保存文件，然后编译并运行您的项目以创建索引。

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.

将 Go 驱动程序添加到您的项目中。

将 Go 驱动程序作为依赖项添加到项目中：

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

定义索引。

创建一个名为 vector-index.go 的文件，然后将以下代码复制并粘贴到该文件中。

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 }

`<connection-string>`替换代码中的，然后保存文件。

将 <connection-string> 替换为您的 Atlas 集群或本地部署的连接字符串。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅通过驱动程序连接到集群。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅连接字符串。

运行以下命令以创建索引。

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

将 MongoDB Java Sync 驱动程序添加到您的项目中。

将 Java 驱动程序 5.2 或更高版本作为依赖项添加到您的项目中，具体取决于您的包管理器：

如果使用 Maven，请将以下依赖项添加到项目的 pom.xml文件的 dependencies大量中：

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>

运行包管理器以安装项目的依赖项。

有关更详细的安装说明和版本兼容性信息，请参阅 MongoDB Java 驱动程序文档。

定义索引。

创建一个名为 VectorIndex.java 的文件，然后将以下代码复制并粘贴到该文件中。

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 }

`<connection-string>`替换代码中的，然后保存文件。

将 <connection-string> 替换为您的 Atlas 集群或本地部署的连接字符串。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅通过驱动程序连接到集群。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅连接字符串。

运行该文件，以创建索引。

在 IDE 中运行该文件，或从命令行执行命令来运行代码。

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

将 MongoDB Node.js 驱动程序添加到您的项目中。

将 MongoDB Node 驱动程序作为依赖项添加到项目中：

npm install mongodb

提示

本页上的示例假设您的项目将模块作为 CommonJS 模块进行管理。而如果您使用的是 ES 模块，则必须修改导入语法。

定义索引。

创建一个名为 vector-index.js 的文件，然后将以下代码复制并粘贴到该文件中。

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);

`<connection-string>`替换代码中的，然后保存文件。

将 <connection-string> 替换为您的 Atlas 集群或本地部署的连接字符串。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅通过驱动程序连接到集群。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅连接字符串。

运行以下命令以创建索引。

node vector-index.js

vector_index

将 PyMongo 驱动程序添加到您的项目中。

将 PyMongo 驱动程序作为依赖项添加到项目中：

pip install pymongo

定义索引。

创建一个名为 vector-index.py 的文件，然后将以下代码复制并粘贴到该文件中。

此索引定义在MongoDB Vector Search索引中将 plot_embedding_voyage_3_large字段索引为 vector 类型，并将 genres 和 year 字段索引为 filter 类型。plot_embedding_voyage_3_large字段包含使用 Voyage AI 的 voyage-3-large 嵌入模型创建的嵌入。索引定义指定 2048 向量维度，使用 dotProduct 函数测量相似性，并启用自动 scalar 量化以高效处理向量。

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()

`<connection-string>`替换代码中的，然后保存文件。

将 <connection-string> 替换为您的 Atlas 集群或本地部署的连接字符串。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅通过驱动程序连接到集群。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅连接字符串。

运行以下命令以创建索引。

python vector-index.py

vector_index

使用 `$vectorSearch` 聚合管道阶段运行查询

Overview

本节演示如何使用 $vectorSearch 阶段查询 sample_mflix.embedded_movies 集合中的索引向量数据。这些示例查询还演示了各种查询和聚合管道操作符，我们可以在查询中使用它们来对我们要执行语义搜索的数据进行预过滤。

步骤

准备您的查询嵌入。

将以下嵌入保存在名为 query-embeddings.js 的文件中：

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通过 `mongosh` 连接到您的集群。

在终端窗口中打开 mongosh 并连接到您的集群。有关连接的详细说明，请参阅通过 mongosh 连接。

将查询嵌入加载到 `mongosh`。

将文件加载到 mongosh，以便在查询中使用嵌入：

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

切换到 `sample_mflix` 数据库。

use sample_mflix

switched to db sample_mflix

针对索引字段运行语义Atlas Search查询。

以下查询使用 $vectorSearch 管道阶段搜索与指定向量嵌入匹配的电影。这些查询指定最多搜索 100 个最近邻，并将结果限制为仅 10 个文档。这些查询还指定了一个 $project 阶段以执行以下操作：

在结果中排除 _id 字段，而仅包含 title、genres、plot 和 year 字段。
添加一个名为 score 的字段，以显示结果中的每个文档的向量搜索分数。

以下查询使用向量嵌入在 plot_embedding_voyage_3_large 字段中搜索字符串 kids adventure。它为每个字段指定多个比较查询操作符，以对要执行语义搜索的文档进行预过滤。

该过滤器使用 $and 聚合管道操作符查找符合以下两个条件的电影文档：

按 genres 字段过滤，以查找不属于 drama、western 或 crime 类型但属于 action、adventure 或 family 类型的电影。
按 year 字段过滤，以查找在 1960 和 2000 年份（含这两个年份）之间发行的电影。

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 ]

以下查询使用向量嵌入在 plot_embedding_voyage_3_large 字段中搜索字符串 star wars。它指定了若干个聚合管道和比较查询操作符来演示如何组合使用操作符来过滤数据。

该过滤器使用 $or 聚合管道操作符来查找符合以下任一条件的电影文档：

按genres字段过滤，查找不属于crime类型的电影。
按 year 字段进行过滤可查找在 2015 年或之前上映的电影，按 genres 字段进行过滤可查找属于 action 类型的电影。

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 ]

准备您的查询嵌入。

将以下嵌入保存在名为 query-embeddings.js 的文件中：

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通过 `mongosh` 连接到您的集群。

在终端窗口中打开 mongosh 并连接到您的集群。有关连接的详细说明，请参阅通过 mongosh 连接。

将查询嵌入加载到 `mongosh`。

将文件加载到 mongosh，以便在查询中使用嵌入：

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

切换到 `sample_mflix` 数据库。

use sample_mflix

switched to db sample_mflix

针对索引字段运行语义Atlas Search查询。

在结果中排除 _id 字段，而仅包含 title、genres、plot 和 year 字段。
添加一个名为 score 的字段，以显示结果中的每个文档的向量搜索分数。

该过滤器使用 $and 聚合管道操作符查找符合以下两个条件的电影文档：

按 genres 字段过滤，以查找不属于 drama、western 或 crime 类型但属于 action、adventure 或 family 类型的电影。
按 year 字段过滤，以查找在 1960 和 2000 年份（含这两个年份）之间发行的电影。

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 ]

该过滤器使用 $or 聚合管道操作符来查找符合以下任一条件的电影文档：

按genres字段过滤，查找不属于crime类型的电影。
按 year 字段进行过滤可查找在 2015 年或之前上映的电影，按 genres 字段进行过滤可查找属于 action 类型的电影。

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 ]

创建一个名为 `DataService.cs` 的文件。

将想要尝试的预过滤运算符的代码复制并粘贴到 `DataService.cs` 文件中。

在结果中排除 _id 字段，而仅包含 title、genres、plot 和 year 字段。
添加一个名为 score 的字段，以显示结果中的每个文档的向量搜索分数。

该过滤器使用 $and 聚合管道操作符查找符合以下两个条件的电影文档：

按 genres 字段过滤，以查找不属于 drama、western 或 crime 类型但属于 action、adventure 或 family 类型的电影。
按 year 字段过滤，以查找在 1960 和 2000 年份（含这两个年份）之间发行的电影。

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 }

该过滤器使用 $or 聚合管道操作符来查找符合以下任一条件的电影文档：

按genres字段过滤，查找不属于crime类型的电影。
按 year 字段进行过滤可查找在 2015 年或之前上映的电影，按 genres 字段进行过滤可查找属于 action 类型的电影。

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 }

替换查询中的 `<connection-string>`，然后保存该文件。

将 <connection-string> 替换为您的 Atlas 集群或本地部署的连接字符串。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅通过驱动程序连接到集群。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅连接字符串。

Update `Program.cs`.

更新 Program.cs 以初始化 DataService 并调用该方法来执行查询。

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 }

保存并运行该项目。

保存文件，然后编译并运行您的项目以执行查询。

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 }

创建一个名为 `AtlasVectorSearchTutorial.go` 的文件。

将想要尝试的预过滤运算符的代码复制并粘贴到 `AtlasVectorSearchTutorial.go` 文件中。

在结果中排除 _id 字段，而仅包含 title、genres、plot 和 year 字段。
添加一个名为 score 的字段，以显示结果中的每个文档的向量搜索分数。

该过滤器使用 $and 聚合管道操作符查找符合以下两个条件的电影文档：

按 genres 字段过滤，以查找不属于 drama、western 或 crime 类型但属于 action、adventure 或 family 类型的电影。
按 year 字段过滤，以查找在 1960 和 2000 年份（含这两个年份）之间发行的电影。

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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0.041320227, 0.000363166, -0.003730298, 0.002851526, -0.024103465, 0.003515089, -0.0135582, -0.003497155, -0.006814968, 0.014060355, 0.027116399, -0.003192274, 0.011406104, 0.042468011, -0.036442146, -0.007245387, 0.032424901, -0.038737711, 0.008680117, -0.035581306, 0.027546817, 0.021664424, -0.000757717, -0.022238316, 0.018221073, -0.006205208, 0.005093292, 0.001264356, -0.002116227, 0.001098465, 0.017431971, -0.042181063, 0.010760476, 0.033285737, 0.002708053, -0.007352991, -0.009827901, -0.031994481, -0.020803586, 0.009971374, -0.014849456, -0.003658562, 0.024964303, -0.001793413, 0.021090532, 0.01578203, 0.012984307, 0.006922573, -0.032711845, -0.013701673, 0.00390964, 0.017503707, -0.015351612, 0.006922573, 0.028694602, 0.012266942, -0.027259871, 0.007675806, -0.002295568, -0.020086221, 0.00595413, -0.027833764, 0.001551302, 0.008644248, -0.002187963, 0.00040576, 0.024964303, 0.013916882, -0.015925504, 0.014347301, -0.011549577, 0.018938437, -0.032424901, 0.003730298, 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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 }

该过滤器使用 $or 聚合管道操作符来查找符合以下任一条件的电影文档：

按genres字段过滤，查找不属于crime类型的电影。
按 year 字段进行过滤可查找在 2015 年或之前上映的电影，按 genres 字段进行过滤可查找属于 action 类型的电影。

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 }

替换查询中的 `<connection-string>`，然后保存该文件。

将 <connection-string> 替换为您的 Atlas 集群或本地部署的连接字符串。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅通过驱动程序连接到集群。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅连接字符串。

编译并运行 `AtlasVectorSearchTutorial.go` 文件。

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

创建一个名为 `AtlasVectorSearchTutorial.java` 的文件。

将想要尝试的预过滤运算符的代码复制并粘贴到 `AtlasVectorSearchTutorial.java` 文件中。

在结果中排除 _id 字段，而仅包含 title、genres、plot 和 year 字段。
添加一个名为 score 的字段，以显示结果中的每个文档的向量搜索分数。

该过滤器使用 $and 聚合管道操作符查找符合以下两个条件的电影文档：

按 genres 字段过滤，以查找不属于 drama、western 或 crime 类型但属于 action、adventure 或 family 类型的电影。
按 year 字段过滤，以查找在 1960 和 2000 年份（含这两个年份）之间发行的电影。

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 }

该过滤器使用 $or 聚合管道操作符来查找符合以下任一条件的电影文档：

按genres字段过滤，查找不属于crime类型的电影。
按 year 字段进行过滤可查找在 2015 年或之前上映的电影，按 genres 字段进行过滤可查找属于 action 类型的电影。

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 }

替换查询中的 `<connection-string>`，然后保存该文件。

将 <connection-string> 替换为您的 Atlas 集群或本地部署的连接字符串。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅通过驱动程序连接到集群。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅连接字符串。

编译并运行 `AtlasVectorSearchTutorial.java` 文件。

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 }

创建一个名为 `atlas-vector-search-tutorial.js` 的文件。

复制您要尝试的预过滤运算符的示例查询，并将其粘贴到 `atlas-vector-search-tutorial.js` 文件中。

在结果中排除 _id 字段，而仅包含 title、genres、plot 和 year 字段。
添加一个名为 score 的字段，以显示结果中的每个文档的向量搜索分数。

该过滤器使用 $and 聚合管道操作符查找符合以下两个条件的电影文档：

按 genres 字段过滤，以查找不属于 drama、western 或 crime 类型但属于 action、adventure 或 family 类型的电影。
按 year 字段过滤，以查找在 1960 和 2000 年份（含这两个年份）之间发行的电影。

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);

该过滤器使用 $or 聚合管道操作符来查找符合以下任一条件的电影文档：

按genres字段过滤，查找不属于crime类型的电影。
按 year 字段进行过滤可查找在 2015 年或之前上映的电影，按 genres 字段进行过滤可查找属于 action 类型的电影。

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);

替换查询中的 `<connection-string>`，然后保存该文件。

将 <connection-string> 替换为您的 Atlas 集群或本地部署的连接字符串。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅通过驱动程序连接到集群。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅连接字符串。

查询您的集合。

运行以下命令来查询您的集合：

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}'

创建一个名为 `atlas-vector-search-tutorial.py` 的文件。

将想要尝试的预过滤运算符的查询复制并粘贴到 `atlas-vector-search-tutorial.py` 文件中。

在结果中排除 _id 字段，而仅包含 title、genres、plot 和 year 字段。
添加一个名为 score 的字段，以显示结果中的每个文档的向量搜索分数。

该过滤器使用 $and 聚合管道操作符查找符合以下两个条件的电影文档：

按 genres 字段过滤，以查找不属于 drama、western 或 crime 类型但属于 action、adventure 或 family 类型的电影。
按 year 字段过滤，以查找在 1960 和 2000 年份（含这两个年份）之间发行的电影。

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         }, 
31         'queryVector': 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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)

该过滤器使用 $or 聚合管道操作符来查找符合以下任一条件的电影文档：

按genres字段过滤，查找不属于crime类型的电影。
按 year 字段进行过滤可查找在 2015 年或之前上映的电影，按 genres 字段进行过滤可查找属于 action 类型的电影。

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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
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)

替换查询中的 `<connection-string>`，然后保存该文件。

将 <connection-string> 替换为您的 Atlas 集群或本地部署的连接字符串。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅通过驱动程序连接到集群。

连接字符串应使用以下格式：

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

要学习；了解更多信息，请参阅连接字符串。

运行命令以查询您的集合。

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}

后退

本地 RAG

来年

混合搜索

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	}

先决条件

创建MongoDB Vector Search 索引

必需的访问权限

步骤

在Atlas中，转到集群的.leafygreen-ui-8n27nz{font-style:normal;font-weight:700;}Search & Vector Search 页面。

单击 Create Search Index（保存并关闭）。

开始您的索引配置。

定义MongoDB Vector Search索引。

单击 Next（下一步）以查看索引。

单击 Create Vector Search Index（保存并关闭）。

通过单击 Close（关闭）按钮关闭 You're All Set!（一切就绪！）模态窗口。

检查状态。

注意

通过 mongosh 连接到您的集群。

切换到您要创建索引的数据库。

例子

运行 db.collection.createSearchIndex() 方法。

将 MongoDB C# 驱动程序添加到 .NET 项目中。

定义索引。

<connection-string>替换代码中的 ，然后保存文件。

Update Program.cs.

保存并运行该项目。

将 Go 驱动程序添加到您的项目中。

定义索引。

<connection-string>替换代码中的 ，然后保存文件。

运行以下命令以创建索引。

将 MongoDB Java Sync 驱动程序添加到您的项目中。

定义索引。

<connection-string>替换代码中的 ，然后保存文件。

运行该文件，以创建索引。

将 MongoDB Node.js 驱动程序添加到您的项目中。

提示

定义索引。

<connection-string>替换代码中的 ，然后保存文件。

运行以下命令以创建索引。

将 PyMongo 驱动程序添加到您的项目中。

定义索引。

<connection-string>替换代码中的 ，然后保存文件。

运行以下命令以创建索引。

使用 $vectorSearch 聚合管道阶段运行查询

Overview

步骤

准备您的查询嵌入。

通过 mongosh 连接到您的集群。

将查询嵌入加载到 mongosh。

切换到 sample_mflix 数据库。

针对索引字段运行语义Atlas Search查询。

准备您的查询嵌入。

通过 mongosh 连接到您的集群。

将查询嵌入加载到 mongosh。

切换到 sample_mflix 数据库。

针对索引字段运行语义Atlas Search查询。

创建一个名为 DataService.cs 的文件。

将想要尝试的预过滤运算符的代码复制并粘贴到 DataService.cs 文件中。

替换查询中的 <connection-string>，然后保存该文件。

Update Program.cs.

保存并运行该项目。

创建一个名为 AtlasVectorSearchTutorial.go 的文件。

将想要尝试的预过滤运算符的代码复制并粘贴到 AtlasVectorSearchTutorial.go 文件中。

替换查询中的 <connection-string>，然后保存该文件。

编译并运行 AtlasVectorSearchTutorial.go 文件。

创建一个名为 AtlasVectorSearchTutorial.java 的文件。

将想要尝试的预过滤运算符的代码复制并粘贴到 AtlasVectorSearchTutorial.java 文件中。

替换查询中的 <connection-string>，然后保存该文件。

编译并运行 AtlasVectorSearchTutorial.java 文件。

创建一个名为 atlas-vector-search-tutorial.js 的文件。

复制您要尝试的预过滤运算符的示例查询，并将其粘贴到 atlas-vector-search-tutorial.js 文件中。

替换查询中的 <connection-string>，然后保存该文件。

查询您的集合。

创建一个名为 atlas-vector-search-tutorial.py 的文件。

将想要尝试的预过滤运算符的查询复制并粘贴到 atlas-vector-search-tutorial.py 文件中。

替换查询中的 <connection-string>，然后保存该文件。

运行命令以查询您的集合。

获得技能徽章

在Atlas中，转到集群的Search & Vector Search 页面。

通过 `mongosh` 连接到您的集群。

运行 `db.collection.createSearchIndex()` 方法。

`<connection-string>`替换代码中的，然后保存文件。

Update `Program.cs`.

`<connection-string>`替换代码中的，然后保存文件。

`<connection-string>`替换代码中的，然后保存文件。

`<connection-string>`替换代码中的，然后保存文件。

`<connection-string>`替换代码中的，然后保存文件。

使用 `$vectorSearch` 聚合管道阶段运行查询

通过 `mongosh` 连接到您的集群。

将查询嵌入加载到 `mongosh`。

切换到 `sample_mflix` 数据库。

通过 `mongosh` 连接到您的集群。

将查询嵌入加载到 `mongosh`。

切换到 `sample_mflix` 数据库。

创建一个名为 `DataService.cs` 的文件。

将想要尝试的预过滤运算符的代码复制并粘贴到 `DataService.cs` 文件中。

替换查询中的 `<connection-string>`，然后保存该文件。

Update `Program.cs`.

创建一个名为 `AtlasVectorSearchTutorial.go` 的文件。

将想要尝试的预过滤运算符的代码复制并粘贴到 `AtlasVectorSearchTutorial.go` 文件中。

替换查询中的 `<connection-string>`，然后保存该文件。

编译并运行 `AtlasVectorSearchTutorial.go` 文件。

创建一个名为 `AtlasVectorSearchTutorial.java` 的文件。

将想要尝试的预过滤运算符的代码复制并粘贴到 `AtlasVectorSearchTutorial.java` 文件中。

替换查询中的 `<connection-string>`，然后保存该文件。

编译并运行 `AtlasVectorSearchTutorial.java` 文件。

创建一个名为 `atlas-vector-search-tutorial.js` 的文件。

复制您要尝试的预过滤运算符的示例查询，并将其粘贴到 `atlas-vector-search-tutorial.js` 文件中。

替换查询中的 `<connection-string>`，然后保存该文件。

创建一个名为 `atlas-vector-search-tutorial.py` 的文件。

将想要尝试的预过滤运算符的查询复制并粘贴到 `atlas-vector-search-tutorial.py` 文件中。

替换查询中的 `<connection-string>`，然后保存该文件。