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如何对 Atlas 集群中的数据执行语义搜索

本教程介绍如何对 Atlas 集群上的 collection 中的 字段中的向量执行 ANN 搜索。plot_embedding_voyage_3_largesample_mflix.embedded_movies为了演示这一点,它将带您完成以下步骤:

  1. sample_mflix.embedded_movies 集合中对名为 plot_embedding_voyage_3_large 的数字字段创建 Atlas Vector Search 索引。

  2. 针对 sample_mflix.embedded_movies 集合中的 plot_embedding_voyage_3_large 字段运行 Atlas Vector Search 查询。


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


使用本教程的可运行版本以作为 Python 笔记本

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:

本部分演示如何在sample_mflix.embedded_moviescollection中的plot_embedding_voyage_3_large字段上创建 Atlas Vector Search 索引,以便对该字段运行查询。

要创建 Atlas Vector Search 索引,您必须拥有 Project Data Access Admin 或更高的项目访问权限。

1

警告: 导航优化正在进行中我们目前正在逐步推出改进的全新导航体验。如果以下步骤与您在 Atlas UI 中的视图不符,请参阅预览文档

  1. 如果尚未显示,请从导航栏上的 Organizations 菜单中选择包含所需项目的组织。

  2. 如果尚未显示,请从导航栏的Projects菜单中选择所需的项目。

  3. 如果尚未出现,请单击侧边栏中的 Clusters(集群)。

    会显示集群页面。

2

您可以从侧边栏、 Data Explorer 或集群详细信息页面转到 Atlas Search 页面。

  1. 在侧边栏中,单击 Services 标题下的 Atlas 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

  2. 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

    将显示 Atlas Search 页面。

  1. 单击集群的对应 Browse Collections 按钮。

  2. 展开数据库并选择集合。

  3. 单击该集合的 Search Indexes 标签页。

    将显示 Atlas Search 页面。

  1. 单击集群的名称。

  2. 单击 Atlas Search 标签页。

    将显示 Atlas Search 页面。

3
4

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.

注意

您的 Atlas Search 索引默认名为 default。如果保留此名称,则对于任何未在其操作符中指定不同 index选项的 Atlas Search 查询,您的搜索索引将成为默认搜索索引。如果您要创建多个索引,我们建议您在所有索引中保持一致且具有描述性的命名规则。

5

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 嵌入模型所创建的嵌入。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_embeddingplot_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:

  1. Similarity Method 下拉列表中选择 Dot Product

  2. 单击 Advanced,然后从下拉菜单中选择 Scalar 量化。

  3. Filter Field 部分,指定 genresyear 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}
6
7

Atlas 会显示一个模态窗口,让您知道您的索引正在构建中。

8
9

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。

1

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

2

例子

use sample_mflix
switched to db sample_mflix
3

以下索引定义在 Atlas Vector Search 索引中将 plot_embedding 字段索引为 vector 类型,并将 genresyear 字段索引为 filter 类型。plot_embedding 字段包含使用 OpenAI 的 text-embedding-ada-002 嵌入模型创建的嵌入。该索引定义指定了 1536 个向量维度,并使用 dotProduct 函数来衡量相似度。

1db.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

将 MongoDB C# 驱动程序作为依赖项添加到项目中:

dotnet add package MongoDB.Driver
2

创建一个名为 IndexService.cs 的文件。将以下代码复制并粘贴到文件中,并替换 <connection-string> 占位符值。

IndexService.cs
1namespace query_quick_start;
2
3using MongoDB.Bson;
4using MongoDB.Driver;
5using System;
6using System.Threading;
7
8public 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}

此索引定义在 Atlas Vector Search 索引中将 plot_embedding_voyage_3_large 字段索引为 vector 类型,并将 genresyear 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。该索引定义指定了 2048 个向量维度,并使用 dotProduct 函数来衡量相似度。

3

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();
4

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.
1

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
2

创建一个名为 vector-index.go 的文件。将以下代码复制并粘贴到文件中,并替换 <connectionString> 占位符值。

vector-index.go
1package main
2
3import (
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
14func 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}

此索引定义在 Atlas Vector Search 索引中将 plot_embedding_voyage_3_large 字段索引为 vector 类型,并将 genresyear 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。该索引定义指定了 2048 个向量维度,并使用 dotProduct 函数来衡量相似度。

3
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
1
  1. 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>
  2. 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。

2

创建一个名为 VectorIndex.java 的文件。将以下代码复制并粘贴到文件中,并替换 <connectionString> 占位符值。

VectorIndex.java
1import com.mongodb.client.MongoClient;
2import com.mongodb.client.MongoClients;
3import com.mongodb.client.MongoCollection;
4import com.mongodb.client.MongoDatabase;
5import com.mongodb.client.model.SearchIndexModel;
6import com.mongodb.client.model.SearchIndexType;
7import org.bson.Document;
8import org.bson.conversions.Bson;
9
10import java.util.Arrays;
11import java.util.Collections;
12import java.util.List;
13
14public 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 Atlas to build the index
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}

此索引定义在 Atlas Vector Search 索引中将 plot_embedding_voyage_3_large 字段索引为 vector 类型,并将 genresyear 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。该索引定义指定了 2048 个向量维度,并使用 dotProduct 函数来衡量相似度。

3

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
1

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。

2

创建一个名为 vector-index.js 的文件。将以下代码复制并粘贴到文件中,并替换 <connectionString> 占位符值。

vector-index.js
1const { MongoClient } = require("mongodb");
2
3// connect to your Atlas deployment
4const uri = "<connectionString>";
5
6const client = new MongoClient(uri);
7
8async function run() {
9 try {
10 const database = client.db("sample_mflix");
11 const collection = database.collection("embedded_movies");
12
13 // define your Atlas 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}
62run().catch(console.dir);

此索引定义在 Atlas Vector Search 索引中将 plot_embedding_voyage_3_large 字段索引为 vector 类型,并将 genresyear 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。该索引定义指定了 2048 个向量维度,并使用 dotProduct 函数来衡量相似度。

3
node vector-index.js
vector_index
1

将 PyMongo 驱动程序作为依赖项添加到项目中:

pip install pymongo
2

创建一个名为 vector-index.py 的文件。将以下代码复制并粘贴到文件中,并替换 <connectionString> 占位符值。

vector-index.py
1from pymongo.mongo_client import MongoClient
2from pymongo.operations import SearchIndexModel
3import time
4
5# Connect to your Atlas deployment
6uri = "<connectionString>"
7client = MongoClient(uri)
8
9# Access your database and collection
10database = client["sample_mflix"]
11collection = database["embedded_movies"]
12
13# Create your index model, then create the search index
14search_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
38result = collection.create_search_index(model=search_index_model)
39print("New search index named " + result + " is building.")
40
41# Wait for initial sync to complete
42print("Polling to check if the index is ready. This may take up to a minute.")
43predicate=None
44if predicate is None:
45 predicate = lambda index: index.get("queryable") is True
46
47while True:
48 indices = list(collection.list_search_indexes(result))
49 if len(indices) and predicate(indices[0]):
50 break
51 time.sleep(5)
52print(result + " is ready for querying.")
53
54client.close()

此索引定义在 Atlas Vector Search 索引中将 plot_embedding_voyage_3_large 字段索引为 vector 类型,并将 genresyear 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。此索引定义指定了 2048 个向量维度,使用 dotProduct 函数来测量相似性,并启用自动 scalar 量化以高效处理您的向量。

3
python vector-index.py
vector_index

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。

1

将以下嵌入保存在名为 query-embeddings.js 的文件中:

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2

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

3

将文件加载到mongosh,以便在查询中使用嵌入:

load('/<path-to-file>/query-embeddings.js');
4
use sample_mflix
switched to db sample_mflix
5

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 titlegenresplotyear 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:

  • genres 字段过滤,以查找不属于 dramawesterncrime 类型但属于 actionadventurefamily 类型的电影。

  • year 字段过滤,以查找在 19602000 年份(含这两个年份)之间发行的电影。

1db.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:

  • genres字段过滤,查找不属于crime类型的电影。

  • year 字段进行过滤可查找在 2015 年或之前上映的电影genres 字段进行过滤可查找属于 action 类型的电影。

1db.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]
1

将以下嵌入保存在名为 query-embeddings.js 的文件中:

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2

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

3

将文件加载到mongosh,以便在查询中使用嵌入:

load('/<path-to-file>/query-embeddings.js');
4
use sample_mflix
switched to db sample_mflix
5

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 titlegenresplotyear 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:

  • genres 字段过滤,以查找不属于 dramawesterncrime 类型但属于 actionadventurefamily 类型的电影。

  • year 字段过滤,以查找在 19602000 年份(含这两个年份)之间发行的电影。

1db.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:

  • genres字段过滤,查找不属于crime类型的电影。

  • year 字段进行过滤可查找在 2015 年或之前上映的电影genres 字段进行过滤可查找属于 action 类型的电影。

1db.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]
1
2

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 titlegenresplotyear 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:

  • genres 字段过滤,以查找不属于 dramawesterncrime 类型但属于 actionadventurefamily 类型的电影。

  • year 字段过滤,以查找在 19602000 年份(含这两个年份)之间发行的电影。

DataService.cs
1namespace query_quick_start;
2
3using MongoDB.Driver;
4using MongoDB.Bson;
5
6public 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}

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:

  • genres字段过滤,查找不属于crime类型的电影。

  • year 字段进行过滤可查找在 2015 年或之前上映的电影genres 字段进行过滤可查找属于 action 类型的电影。

DataService.cs
1namespace query_quick_start;
2
3using MongoDB.Driver;
4using MongoDB.Bson;
5
6public 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}
3

确保您的连接字符串包含数据库用户的档案。要了解详情,请参阅通过驱动程序连接

4

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

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

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 }
1
2

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 titlegenresplotyear 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:

  • genres 字段过滤,以查找不属于 dramawesterncrime 类型但属于 actionadventurefamily 类型的电影。

  • year 字段过滤,以查找在 19602000 年份(含这两个年份)之间发行的电影。

1package main
2
3import (
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
13func 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, 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-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}

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:

  • genres字段过滤,查找不属于crime类型的电影。

  • year 字段进行过滤可查找在 2015 年或之前上映的电影genres 字段进行过滤可查找属于 action 类型的电影。

1package main
2
3import (
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
13func 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, 0.030914923, -0.036067411, 0.008659041, -0.004025381, -0.0301993, -0.026048684, 0.024760563, 0.036496785, -0.029913051, 0.015672149, 0.007764512, 0.01509965, 0.010304974, -0.004490536, -0.007585606, -0.019464951, 0.016602458, -0.007048889, -0.005510299, 0.011163722, 0.013739966, -0.034636162, 0.020609949, -0.004418973, 0.034636162, 0.040933646, 0.031773672, 0.023758691, 0.031344298, -0.006798421, 0.026048684, -0.011521534, 0.020753073, 0.014384027, 0.026334934, -0.034206789, -0.036067411, 0.014598713, 0.023758691, -0.039216153, 0.003363429, 0.002880384, -0.006726858, -0.000916892, -0.001395465, -0.009660914, 0.032059919, 0.008086543, 0.029054303, -0.011593096, 0.065551087, 0.031058047, -0.041219898, -0.014097777, -0.017103394, 0.016244646, -0.028911177, 0.044654887, -0.030771798, 0.024760563, 0.02833868, 0.018248392, 0.026907433, -0.002227377, 0.034063663, 0.000167724, 0.021039322, -0.018892452, 0.012738093, -0.001395465, 0.005760767, -0.024760563, -0.002683587, 0.000230341, -0.0197512, 0.009088415, -0.00400749, -0.026764309, -0.012881218, 0.016101522, -0.009303101, 0.015529023, -0.016817145, 0.014312465, -0.030914923, -0.018463079, 0.020323699, -0.023472441, -0.023758691, -0.005009362, 0.018176829, 0.012738093, 0.009374664, -0.031916797, 0.016387772, 0.027479932, 0.015529023, -0.021325571, 0.020323699, -0.025476186, 0.008515916, -0.039788652, -0.007979199, -0.009947163, -0.006869983, 0.004758894, 0.022613693, -0.013668403, -0.015171212, 0.035351787, -0.022327444, 0.019178702, 0.000404774, -0.003524444, -0.012094032, 0.023901815, -0.0400749, -0.004579989, 0.00245101, 0.013024342, 0.015958399, 0.009517789, 0.034779288, 0.021468697, 0.00062617, 0.007728731, -0.028195554, 0.0301993, -0.002504681, 0.008909509, 0.004651551, -0.007013108, 0.03148742, 0.019608077, 0.002540462, 0.043509893, -0.006190141, 0.024903689, 0.010519661, 0.018319955, 0.010519661, 0.009660914, 0.000966091, -0.004454754, 0.000299667, 0.007907636, -0.018463079, 0.004758894, -0.001851675, 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-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}
3

确保您的连接字符串包含数据库用户的档案。要了解详情,请参阅通过驱动程序连接

4
go run AtlasVectorSearchTutorial.go
1Title: 3 Ninjas: High Noon at Mega Mountain
2Plot: 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 ...
3Genres: [Action Adventure Comedy]
4Year: 1998
5Score: 0.7746343612670898
6
7Title: White Wolves: A Cry in the Wild II
8Plot: 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...
9Genres: [Action Adventure Family]
10Year: 1993
11Score: 0.770106315612793
12
13Title: Space Raiders
14Plot: 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.
15Genres: [Action Adventure Sci-Fi]
16Year: 1983
17Score: 0.7569591999053955
18
19Title: The Ewok Adventure
20Plot: Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.
21Genres: [Adventure Family Fantasy]
22Year: 1984
23Score: 0.7515435218811035
24
25Title: Time Bandits
26Plot: A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.
27Genres: [Adventure Comedy Fantasy]
28Year: 1981
29Score: 0.7513599395751953
30
31Title: Chitty Chitty Bang Bang
32Plot: 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.
33Genres: [Adventure Family Fantasy]
34Year: 1968
35Score: 0.7492260932922363
36
37Title: Forest Warrior
38Plot: A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.
39Genres: [Action Adventure Comedy]
40Year: 1996
41Score: 0.7473714351654053
42
43Title: Forest Warrior
44Plot: A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.
45Genres: [Action Adventure Comedy]
46Year: 1996
47Score: 0.7473714351654053
48
49Title: Warriors of Virtue
50Plot: 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.
51Genres: [Action Fantasy Adventure]
52Year: 1997
53Score: 0.7464213371276855
54
55Title: Taxandria
56Plot: 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...
57Genres: [Animation Adventure Fantasy]
58Year: 1994
59Score: 0.7453246116638184
go run AtlasVectorSearchTutorial.go
1Title: Star Wars: Episode IV - A New Hope
2Plot: 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.
3Genres: [Action Adventure Fantasy]
4Year: 1977
5Score: 0.79868483543396
6
7Title: Dune
8Plot: 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.
9Genres: [Action Adventure Sci-Fi]
10Year: 1984
11Score: 0.7949700355529785
12
13Title: Message from Space
14Plot: 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 ...
15Genres: [Action Adventure Sci-Fi]
16Year: 1978
17Score: 0.7913978099822998
18
19Title: Message from Space
20Plot: 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 ...
21Genres: [Action Adventure Sci-Fi]
22Year: 1978
23Score: 0.7913978099822998
24
25Title: Star Wars: Episode V - The Empire Strikes Back
26Plot: 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.
27Genres: [Action Adventure Fantasy]
28Year: 1980
29Score: 0.7809884548187256
30
31Title: Star Wars: Episode VI - Return of the Jedi
32Plot: 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.
33Genres: [Action Adventure Fantasy]
34Year: 1983
35Score: 0.7784996032714844
36
37Title: Star Wars: Episode I - The Phantom Menace
38Plot: 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.
39Genres: [Action Adventure Fantasy]
40Year: 1999
41Score: 0.7766742706298828
42
43Title: Ewoks: The Battle for Endor
44Plot: 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 ...
45Genres: [Adventure Family Fantasy]
46Year: 1985
47Score: 0.7676119804382324
48
49Title: Krull
50Plot: 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.
51Genres: [Action Adventure Fantasy]
52Year: 1983
53Score: 0.7624373435974121
54
55Title: Starcrash
56Plot: 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.
57Genres: [Action Adventure Fantasy]
58Year: 1978
59Score: 0.7582714557647705
1
2

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 titlegenresplotyear 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:

  • genres 字段过滤,以查找不属于 dramawesterncrime 类型但属于 actionadventurefamily 类型的电影。

  • year 字段过滤,以查找在 19602000 年份(含这两个年份)之间发行的电影。

1import static com.mongodb.client.model.Aggregates.*;
2import static com.mongodb.client.model.Projections.*;
3import static com.mongodb.client.model.search.SearchPath.fieldPath;
4import static java.util.Arrays.asList;
5
6import com.mongodb.client.MongoClient;
7import com.mongodb.client.MongoClients;
8import com.mongodb.client.MongoCollection;
9import com.mongodb.client.MongoDatabase;
10import com.mongodb.client.model.*;
11import com.mongodb.client.model.search.VectorSearchOptions;
12import java.util.Arrays;
13import java.util.List;
14import com.mongodb.client.model.search.FieldSearchPath;
15import org.bson.Document;
16import org.bson.conversions.Bson;
17
18public 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}

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:

  • genres字段过滤,查找不属于crime类型的电影。

  • year 字段进行过滤可查找在 2015 年或之前上映的电影genres 字段进行过滤可查找属于 action 类型的电影。

1import static com.mongodb.client.model.Aggregates.*;
2import static com.mongodb.client.model.Projections.*;
3import static com.mongodb.client.model.search.SearchPath.fieldPath;
4import static java.util.Arrays.asList;
5
6import com.mongodb.client.MongoClient;
7import com.mongodb.client.MongoClients;
8import com.mongodb.client.MongoCollection;
9import com.mongodb.client.MongoDatabase;
10import com.mongodb.client.model.*;
11import com.mongodb.client.model.search.VectorSearchOptions;
12import java.util.List;
13import com.mongodb.client.model.search.FieldSearchPath;
14import org.bson.Document;
15import org.bson.conversions.Bson;
16
17public 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}
3

确保您的连接字符串包含数据库用户的档案。要了解详情,请参阅通过驱动程序连接

4
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}
1
2

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 titlegenresplotyear 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:

  • genres 字段过滤,以查找不属于 dramawesterncrime 类型但属于 actionadventurefamily 类型的电影。

  • year 字段过滤,以查找在 19602000 年份(含这两个年份)之间发行的电影。

1const { MongoClient } = require("mongodb");
2
3// connect to your Atlas cluster
4const uri = "<connection-string>";
5
6const client = new MongoClient(uri);
7
8async 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}
68run().catch(console.dir);

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:

  • genres字段过滤,查找不属于crime类型的电影。

  • year 字段进行过滤可查找在 2015 年或之前上映的电影genres 字段进行过滤可查找属于 action 类型的电影。

1const { MongoClient } = require("mongodb");
2
3// connect to your Atlas cluster
4const uri = "<connection-string>";
5
6const client = new MongoClient(uri);
7
8async 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}
70run().catch(console.dir);
3

确保您的连接字符串包含数据库用户的档案。要了解详情,请参阅通过驱动程序连接

4

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}'
1
2

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 titlegenresplotyear 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:

  • genres 字段过滤,以查找不属于 dramawesterncrime 类型但属于 actionadventurefamily 类型的电影。

  • year 字段过滤,以查找在 19602000 年份(含这两个年份)之间发行的电影。

1import pymongo
2
3# connect to your Atlas cluster
4client = pymongo.MongoClient("<connection-string>")
5
6# define pipeline
7pipeline = [
8 {
9 '$vectorSearch': {
10 'index': 'vector_index',
11 'path': 'plot_embedding_voyage_3_large',
12 'filter': {
13 '$and': [
14 {
15 'genres': {
16 '$nin': [
17 'Drama', 'Western', 'Crime'
18 ],
19 '$in': [
20 'Action', 'Adventure', 'Family'
21 ]
22 }
23 }, {
24 'year': {
25 '$gte': 1960,
26 '$lte': 2000
27 }
28 }
29 ]
30 },
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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 '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
50result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)
51
52# print results
53for i in result:
54 print(i)

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:

  • genres字段过滤,查找不属于crime类型的电影。

  • year 字段进行过滤可查找在 2015 年或之前上映的电影genres 字段进行过滤可查找属于 action 类型的电影。

1import pymongo
2
3# connect to your Atlas cluster
4client = pymongo.MongoClient("<connection-string>")
5
6# define pipeline
7pipeline = [
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
52result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)
53
54# print results
55for i in result:
56 print(i)
3

确保您的连接字符串包含数据库用户的档案。要了解详情,请参阅通过驱动程序连接

4
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}

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