Atlas 클러스터의 데이터에 대해 시맨틱 검색을 수행하는 방법

이 튜토리얼에서는 클러스터 의 sample_mflix.embedded_movies 컬렉션 에 있는 plot_embedding_voyage_3_large 필드 에 있는 벡터에 대해 ANN 검색 수행하는 방법을 설명합니다. 이를 시연하기 위해 다음 단계를 안내합니다.

sample_mflix.embedded_movies 컬렉션 의 plot_embedding_voyage_3_large 이라는 숫자 필드 에 MongoDB Vector Search 인덱스 생성합니다.
sample_mflix.embedded_movies 컬렉션 의 plot_embedding_voyage_3_large 필드 에 대해 MongoDB Vector Search 쿼리를 실행합니다.

➤ 언어 선택 드롭다운 메뉴를 사용하여 MongoDB Vector Search 인덱스 생성하고 쿼리를 실행 데 사용할 클라이언트 선택합니다.

이 튜토리얼의 실행 가능한 버전을 Python 노트북으로 사용합니다.

전제 조건

시작하기 전에 공통 전제 조건을 완료하세요. 이 튜토리얼에는 다음 클라이언트에 대한 예시가 포함되어 있습니다.

MongoDB Vector Search 인덱스 만들기

이 섹션에서는 sample_mflix.embedded_movies 컬렉션 의 plot_embedding_voyage_3_large 필드 에 대해 벡터 쿼리를 실행 위해 필드 에 MongoDB Vector Search 인덱스 만드는 방법을 보여 줍니다.

필요한 액세스 권한

MongoDB Vector Search 인덱스 만들려면 프로젝트 에 대한 Project Data Access Admin 이상의 액세스 있어야 합니다.

절차

Atlas Search & Vector Search 에서 클러스터 의 페이지로 이동합니다.

Search & Vector Search 옵션 또는 Data Explorer에서 MongoDB 검색 페이지로 이동할 수 있습니다.

아직 표시되지 않은 경우 탐색 표시줄의 Organizations 메뉴에서 프로젝트가 포함된 조직을 선택합니다.
아직 표시되지 않은 경우 내비게이션 바의 Projects 메뉴에서 프로젝트를 선택합니다.
사이드바에서 Database 제목 아래의 Search & Vector Search를 클릭합니다.
클러스터가 없는 경우 Create cluster를 클릭하여 클러스터를 생성합니다. 자세히 알아보려면 클러스터 생성을 참조하세요.
프로젝트에 여러 클러스터가 있는 경우 Select cluster 드롭다운에서 사용할 클러스터를 선택한 후 Go to Atlas Search를 클릭합니다.
검색 & 벡터 검색 페이지가 표시됩니다.

아직 표시되지 않은 경우 탐색 표시줄의 Organizations 메뉴에서 프로젝트가 포함된 조직을 선택합니다.
아직 표시되지 않은 경우 내비게이션 바의 Projects 메뉴에서 프로젝트를 선택합니다.
사이드바에서 Database 제목 아래의 Data Explorer를 클릭합니다.
데이터베이스를 확장하고 컬렉션을 선택합니다.
컬렉션의 Indexes 탭을 클릭합니다.
Atlas Search 페이지가 표시됩니다.

Create Search Index를 클릭합니다.

인덱스 구성을 시작합니다.

페이지에서 다음 항목을 선택한 후 Next를 클릭합니다.

Search Type	Vector Search 인덱스 유형을 선택합니다.
Index Name and Data Source	다음 정보를 지정합니다. Index Name: `vector_index` Database and Collection: `sample_mflix` database `embedded_movies` 컬렉션
Configuration Method	For a guided experience, select Visual Editor. To edit the raw index definition, select JSON Editor.

중요:

MongoDB Search 인덱스 의 이름은 기본값 으로 default 으로 지정됩니다. 이 이름을 유지하면 해당 인덱스 연산자에 다른 index 옵션을 지정하지 않는 모든 MongoDB Search 쿼리 대한 기본값 검색 인덱스 됩니다. 여러 인덱스를 생성하는 경우 인덱스 전체에서 일관적인 되고 설명이 포함된 명명 규칙을 유지하는 것이 좋습니다.

MongoDB Vector Search 인덱스 정의합니다.

이 단계에서는 다음 필드에 대한 vectorSearch 유형의 인덱스를 정의합니다.

plot_embedding_voyage_3_large 필드를 벡터 유형으로 인덱싱합니다. plot_embedding_voyage_3_large 필드에는 Voyage AI의 voyage-3-large 임베딩 모델을 사용해 생성된 임베딩을 포함합니다. 인덱스 정의는 2048 벡터 차원을 지정하고 dotProduct을 사용하여 유사성을 측정합니다.
genres 필드의 문자열 값을 기준으로 데이터를 사전 필터링하기 위한 필터 유형으로 필드를 지정합니다.
year 필드의 숫자 값을 기준으로 데이터를 사전 필터링하기 위한 필터 유형으로 필드를 지정합니다.

Atlas는 벡터 임베딩을 포함하는 필드와 그에 상응하는 차원을 자동으로 감지합니다. sample_mflix.embedded_movies 컬렉션에서는 plot_embedding 및 plot_embedding_voyage_3_large 필드가 표시됩니다. 이 튜토리얼에서는 plot_embedding_voyage_3_large 필드만 인덱스해야 합니다.

인덱스를 구성하려면 다음을 수행합니다.

Similarity Method 드롭다운 메뉴에서 Dot Product을(를) 선택합니다.
Advanced를 클릭한 후 드롭다운 메뉴에서 Scalar 양자화를 선택합니다.
Filter Field 섹션에서 데이터를 필터링할 genres 및 year 필드를 지정합니다.

기본 정의를 다음 인덱스 정의로 바꿉니다.

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 }

Next를 클릭하여 인덱스를 검토합니다.

Create Vector Search Index를 클릭합니다.

Atlas에서 인덱스가 작성 중임을 알려주는 모달 창이 표시됩니다.

Close 버튼을 클릭하여 You're All Set! 모달 창을 닫습니다.

상태를 확인합니다.

새로 생성된 인덱스가 Atlas Search 탭에 표시됩니다. 인덱스가 생성되는 동안 Status 필드는 Build in Progress로 표시됩니다. 인덱스 생성이 완료되면 Status 필드에 Active가 표시됩니다.

참고

컬렉션이 클수록 인덱스를 생성하는 데 시간이 더 오래 걸립니다. 인덱스 빌드가 완료되면 이메일 알림을 받게 됩니다.

`mongosh`에서 클러스터에 연결합니다.

터미널 창에서 mongosh를 열고 cluster에 연결합니다. 연결에 대한 자세한 지침은 mongosh를 통해 연결을 참조하세요.

인덱스를 생성하려는 데이터베이스로 전환합니다.

예시

use sample_mflix

switched to db sample_mflix

`db.collection.createSearchIndex()` 메서드를 실행합니다.

다음 인덱스 정의는 plot_embedding_voyage_3_large 필드를 vector 유형으로 genres 및 year 필드를 filter 유형으로 인덱싱합니다.

plot_embedding_voyage_3_large 필드에는 Voyage AI의 voyage-3-large 임베딩 모델로 생성된 2048차원 벡터 임베딩이 포함됩니다. 인덱스는 dotProduct 함수를 사용하여 유사도를 측정합니다.

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

.NET 프로젝트에 MongoDB C# 드라이버를 추가합니다.

프로젝트에 MongoDB C# 드라이버를 종속성으로 추가합니다.

dotnet add package MongoDB.Driver

인덱스를 정의합니다.

IndexService.cs 이라는 파일 만들고 다음 코드를 복사하여 파일 에 붙여넣습니다.

이 인덱스 정의는 MongoDB Vector Search 인덱스 에서 plot_embedding_voyage_3_large 필드 vector 유형으로, genres 및 year 필드를 filter 유형으로 인덱싱합니다. plot_embedding_voyage_3_large 필드 에는 Voyage AI의 voyage-3-large 임베딩 모델을 사용하여 생성된 임베딩이 포함되어 있습니다. 인덱스 정의는 2048 벡터 차원을 지정하고 dotProduct 함수를 사용하여 유사성을 측정합니다.

IndexService.cs

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

코드에서 `<connection-string>` 을(를) 바꾼 다음 파일 저장합니다.

<connection-string>을 Atlas 클러스터 또는 로컬 Atlas 배포서버의 연결 문자열로 교체합니다.

연결 문자열은 다음 형식을 사용해야 합니다.

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

자세한 학습은 드라이버를 통해 클러스터에 연결을 참조하세요.

연결 문자열은 다음 형식을 사용해야 합니다.

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

학습 내용은 연결 문자열을 참조하세요.

Update `Program.cs`.

Program.cs를 업데이트하여 IndexService를 초기화하고 인덱스를 생성하는 메서드를 호출합니다.

Program.cs

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

프로젝트를 저장하고 실행합니다.

파일을 저장한 후, 프로젝트를 컴파일하고 실행하여 인덱스를 만듭니다.

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.

Go 드라이버를 프로젝트에 추가합니다.

프로젝트에 Go 드라이버를 종속성으로 추가합니다.

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

인덱스를 정의합니다.

vector-index.go 이라는 파일 만들고 다음 코드를 복사하여 파일 에 붙여넣습니다.

vector-index.go

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

코드에서 `<connection-string>` 을(를) 바꾼 다음 파일 저장합니다.

<connection-string>을 Atlas 클러스터 또는 로컬 Atlas 배포서버의 연결 문자열로 교체합니다.

연결 문자열은 다음 형식을 사용해야 합니다.

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

자세한 학습은 드라이버를 통해 클러스터에 연결을 참조하세요.

연결 문자열은 다음 형식을 사용해야 합니다.

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

학습 내용은 연결 문자열을 참조하세요.

다음 명령을 실행하여 인덱스를 생성합니다.

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

프로젝트에 MongoDB Java Sync Driver를 추가합니다.

패키지 관리자에 따라 프로젝트에 Java 드라이버 버전 5.2 이상을 종속성으로 추가합니다.

Maven을 사용하는 경우 프로젝트의 pom.xml 파일 에 있는 dependencies 배열 에 다음 종속성을 추가합니다.

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>

패키지 관리자를 실행하여 프로젝트 에 종속성을 설치합니다.

자세한 설치 지침 및 버전 호환성은 MongoDB Java 드라이버 문서를 참조하세요.

인덱스를 정의합니다.

VectorIndex.java 이라는 파일 만들고 다음 코드를 복사하여 파일 에 붙여넣습니다.

VectorIndex.java

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

코드에서 `<connection-string>` 을(를) 바꾼 다음 파일 저장합니다.

<connection-string>을 Atlas 클러스터 또는 로컬 Atlas 배포서버의 연결 문자열로 교체합니다.

연결 문자열은 다음 형식을 사용해야 합니다.

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

자세한 학습은 드라이버를 통해 클러스터에 연결을 참조하세요.

연결 문자열은 다음 형식을 사용해야 합니다.

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

학습 내용은 연결 문자열을 참조하세요.

파일을 실행하여 인덱스를 생성합니다.

IDE에서 파일을 실행하거나 명령줄에서 명령을 실행하여 코드를 실행합니다.

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

MongoDB Node.js 드라이버를 프로젝트에 추가합니다.

프로젝트에 MongoDB 노드 드라이버를 종속성으로 추가합니다.

npm install mongodb

팁

이 페이지의 예시에서는 프로젝트가 모듈을 CommonJS 모듈로 관리한다고 가정합니다. ES 모듈을 사용하는 경우에는 import 구문을 수정해야 합니다.

인덱스를 정의합니다.

vector-index.js 이라는 파일 만들고 다음 코드를 복사하여 파일 에 붙여넣습니다.

vector-index.js

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

코드에서 `<connection-string>` 을(를) 바꾼 다음 파일 저장합니다.

<connection-string>을 Atlas 클러스터 또는 로컬 Atlas 배포서버의 연결 문자열로 교체합니다.

연결 문자열은 다음 형식을 사용해야 합니다.

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

자세한 학습은 드라이버를 통해 클러스터에 연결을 참조하세요.

연결 문자열은 다음 형식을 사용해야 합니다.

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

학습 내용은 연결 문자열을 참조하세요.

다음 명령을 실행하여 인덱스를 생성합니다.

node vector-index.js

vector_index

프로젝트에 PyMongo 드라이버를 추가합니다.

프로젝트에 PyMongo 드라이버를 종속성으로 추가합니다.

pip install pymongo

인덱스를 정의합니다.

vector-index.py 이라는 파일 만들고 다음 코드를 복사하여 파일 에 붙여넣습니다.

이 인덱스 정의는 MongoDB Vector Search 인덱스 에서 plot_embedding_voyage_3_large 필드 vector 유형으로, genres 및 year 필드를 filter 유형으로 인덱싱합니다. plot_embedding_voyage_3_large 필드 에는 Voyage AI의 voyage-3-large 임베딩 모델을 사용하여 생성된 임베딩이 포함되어 있습니다. 인덱스 정의는 2048 벡터 차원을 지정하고, dotProduct 함수를 사용하여 유사성을 측정하며, 벡터의 효율적인 처리 위해 자동 scalar 양자화를 활성화합니다.

vector-index.py

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

코드에서 `<connection-string>` 을(를) 바꾼 다음 파일 저장합니다.

<connection-string>을 Atlas 클러스터 또는 로컬 Atlas 배포서버의 연결 문자열로 교체합니다.

연결 문자열은 다음 형식을 사용해야 합니다.

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

자세한 학습은 드라이버를 통해 클러스터에 연결을 참조하세요.

연결 문자열은 다음 형식을 사용해야 합니다.

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

학습 내용은 연결 문자열을 참조하세요.

다음 명령을 실행하여 인덱스를 생성합니다.

python vector-index.py

vector_index

`$vectorSearch` 집계 파이프라인 단계를 사용하여 쿼리 실행

개요

이 섹션에서는 $vectorSearch 단계를 사용하여 sample_mflix.embedded_movies 컬렉션에서 인덱싱된 벡터 데이터를 쿼리하는 방법을 설명합니다. 또한 이러한 샘플 쿼리는 시맨틱 검색을 수행하는 데이터를 사전 필터링하기 위해 쿼리에서 사용할 수 있는 다양한 쿼리 및 집계 파이프라인 연산자를 보여줍니다.

절차

쿼리 임베딩을 준비하세요.

다음 임베딩을 query-embeddings.js라는 파일에 저장합니다.

KIDS_ADVENTURE_EMBEDDING=[-0.021090532,-0.026399033,-0.024103465,-0.025538195,-0.000549233,0.011836523,-0.013199517,-0.003766167,-0.005165028,-0.02238179,0.037876874,0.010617003,0.010903949,-0.001354026,0.006850836,-0.018005863,-0.02195137,0.019512329,-0.041894119,-0.008357302,0.027546817,-0.025251249,0.004340059,-0.02195137,-0.003748232,-0.006205208,0.021377478,0.008931194,-0.00173961,-0.009827901,-0.016642869,-0.033572685,-0.026399033,0.015208139,0.010114847,-0.0233861,-0.011406104,-0.033142265,-0.008895326,-0.014347301,-0.019081909,-0.049067769,0.034433521,-0.023673046,0.004160717,-0.01334299,-0.06714537,0.032568373,-0.022525262,-0.024677357,0.011334368,0.027403345,0.026399033,-0.016786342,-0.015925504,0.013916882,-0.005487842,-0.0233861,0.026542507,-0.052798066,-0.025681669,-0.025394723,0.014203828,0.014921193,-0.031564061,0.010760476,0.010688739,0.013916882,-0.037876874,0.039598551,-0.000816003,0.003766167,-0.001694775,0.026972925,-0.009469219,0.015351612,-0.007245387,0.028981548,-0.035724778,0.010688739,0.001228488,0.004106915,-0.024677357,0.028551128,-0.033716157,-0.013486463,0.018292809,-0.018221073,0.009612692,-0.003622693,-0.001138817,-0.021234006,-0.045624416,0.020803586,0.007675806,-0.009612692,-0.021664424,-0.026685979,-0.025968615,0.001775478,-0.007496465,0.02051664,-0.054519743,0.018221073,0.014132091,-0.009684428,-0.025825141,-0.014921193,-0.057389203,-0.020660114,-0.028264182,-0.008931194,-0.019942747,-0.003228143,-0.014419037,0.021234006,-0.004573202,0.007317123,0.018651491,-0.016571132,-0.036155198,-0.032855317,0.000726332,-0.031851009,0.018938437,0.021234006,-0.048206929,0.017934127,-0.013414727,-0.009469219,0.064849801,0.006348681,-0.039024659,0.021377478,-0.022668736,-0.026829453,-0.019081909,0.027977237,-0.004627005,-0.038450766,0.004465597,-0.041894119,0.008213829,0.03055975,0.052224174,-0.00277979,-0.032137953,-0.013629936,0.022094844,-0.005918262,0.020660114,0.010617003,-0.020373167,-0.001614071,0.021090532,-0.005523711,0.004878082,-0.021090532,0.029698912,0.000726332,0.003371616,-0.022238316,0.008715985,0.038737711,0.013486463,-0.008536644,0.040172443,0.017503707,-0.028838074,0.061693393,-0.003066736,0.008285566,-0.034576993,0.01578203,-0.02238179,0.015925504,0.066571474,-0.038737711,-0.050215553,0.009325746,-0.010903949,-0.041607171,-0.006384549,0.026972925,-0.000119374,-0.003066736,-0.024103465,0.005093292,0.028981548,0.026829453,-0.001703742,0.043041904,0.010186584,0.010688739,0.004357993,-0.016571132,-0.010545266,-0.033142265,-0.005559579,-0.000365408,-0.00717365,0.019655801,0.047633037,0.044476632,0.01456251,-0.002977065,0.025681669,-0.015423348,-0.02051664,-0.019512329,0.014705983,0.002977065,0.03055975,-0.014347301,0.024390411,0.005882393,-0.012195205,0.004071047,-0.028694602,0.031277116,-0.010114847,0.005272633,0.017934127,0.037589926,-0.046198308,-0.02195137,-0.037876874,0.021234006,-0.034720469,-0.018005863,0.03055975,-0.015495085,-0.035150886,0.004178651,0.005882393,0.075753748,0.00595413,-0.083214343,-0.016284186,0.022238316,-0.032998793,-0.00491395,-0.009254009,-0.007819279,0.046198308,-0.008464907,0.014634247,0.031707536,-0.00317434,-0.026255561,-0.010617003,-0.033285737,0.020086221,-0.016858079,-0.012195205,-0.041894119,0.000721849,0.038163818,0.02238179,0.011406104,0.010330057,0.032137953,-0.01047353,0.039311603,-0.01291257,-0.03099017,-0.018938437,-0.013271254,-0.001820314,-0.005380238,0.003299879,-0.024533885,-0.001093982,0.012123469,-0.005236765,0.014132091,-0.018221073,0.013629936,0.022238316,-0.00317434,0.034003101,0.019081909,0.008034488,-0.02912502,0.026542507,-0.011334368,-0.077475421,0.038163818,-0.003568891,0.019081909,0.019512329,0.002385239,-0.032568373,-0.020373167,0.038737711,-0.013773409,0.01621245,-0.028407656,-0.021090532,-0.004411795,-0.013916882,-0.001533368,0.004322124,-0.024820831,0.004627005,-0.004591136,0.014849456,-0.014275564,-0.020229694,0.0233861,0.015566821,0.022525262,-0.024390411,-0.028694602,0.001766511,-0.036011726,0.006456285,-0.011262631,0.005523711,0.012266942,-0.019225383,-0.015423348,0.011836523,-0.011334368,-0.009827901,-0.011119158,0.007030177,0.00277979,0.004537334,-0.016571132,0.013127781,-0.013701673,-0.016571132,0.002941197,0.000959476,-0.004483532,0.010760476,0.043041904,-0.032568373,-0.015423348,0.006169339,-0.02094706,-0.050215553,0.012769097,0.015495085,0.001318158,0.00164994,-0.045337472,0.001533368,0.005595447,0.039311603,-0.030703224,0.023242628,-0.008787721,-0.021234006,-0.021234006,-0.001524401,0.007281255,0.01334299,0.00164994,-0.005451974,-0.011047422,-0.021234006,-0.033572685,-0.015423348,-0.005236765,0.025681669,-0.02051664,-0.024103465,-0.021377478,-0.00738886,-0.031707536,0.017790653,-0.026829453,0.007783411,-0.003335747,0.024677357,0.006384549,0.035724778,-0.004017244,-0.018651491,-0.014060355,-0.029842386,-0.012553888,0.006994309,-0.00317434,0.018292809,0.019942747,-0.01169305,0.002456975,0.010330057,-0.031707536,0.00799862,-0.019655801,-0.006205208,-0.012769097,-0.035294361,0.026112087,-0.004483532,0.0209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`mongosh`에서 클러스터에 연결합니다.

터미널 창에서 mongosh를 열고 cluster에 연결합니다. 연결에 대한 자세한 지침은 mongosh를 통해 연결을 참조하세요.

`mongosh`에 쿼리 임베딩을 로드합니다.

임베딩을 쿼리에 사용하려면 파일을 mongosh에 로드하세요.

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

`sample_mflix` 데이터베이스로 전환합니다.

use sample_mflix

switched to db sample_mflix

인덱싱된 필드에 대해 시맨틱 Atlas Search 쿼리를 실행합니다.

다음 쿼리는 $vectorSearch 파이프라인 단계를 사용하여 지정된 벡터 임베딩과 일치하는 영화를 검색합니다. 쿼리는 최대 100개의 최근접 이웃을 검색하고 결과를 10개의 문서로 제한합니다. 또한 해당 쿼리는 다음 작업을 수행하기 위해 $project 단계도 지정합니다.

_id 필드를 제외하고 title, genres, plot, year 필드만 결과에 포함합니다.
결과의 각 문서에 대한 벡터 검색 점수를 보여주는 score 필드를 추가합니다.

다음 쿼리는 kids adventure라는 string의 벡터 임베딩을 사용하여 plot_embedding_voyage_3_large 필드를 검색합니다. 각 필드에 대해 여러 비교 쿼리 연산자를 지정하여 시맨틱 검색이 수행될 문서들을 사전 필터링합니다.

이 필터는 $and 집계 파이프라인 연산자를 사용하여 다음 기준과 모두 일치하는 동영상 문서를 찾습니다.

genres 필드를 사용하여 drama, western, crime가 아닌 action, adventure, family에 속하는 영화를 필터링하세요.
year 필드로 필터링하여 1960년부터 2000년까지 개봉한 영화를 찾습니다.

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

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

다음 쿼리는 star wars라는 string의 벡터 임베딩을 사용하여 plot_embedding_voyage_3_large 필드를 검색합니다. 데이터를 필터링하기 위해 집계 파이프라인 연산자와 비교 쿼리 연산자를 함께 사용하는 방법을 보여줍니다.

필터는 $or 집계 파이프라인 연산자를 사용하여 다음 기준 중 하나와 일치하는 영화 문서를 찾습니다.

genres 필드로 필터링하여 crime 장르에 속하지 않는 영화를 찾습니다.
year 필드로 필터링하여 2015년 또는 그 이전에 개봉된 영화를 찾고 그리고 genres 필드로 필터링하여 action 장르의 영화를 찾습니다.

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

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

쿼리 임베딩을 준비하세요.

다음 임베딩을 query-embeddings.js라는 파일에 저장합니다.

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`mongosh`에서 클러스터에 연결합니다.

터미널 창에서 mongosh를 열고 cluster에 연결합니다. 연결에 대한 자세한 지침은 mongosh를 통해 연결을 참조하세요.

`mongosh`에 쿼리 임베딩을 로드합니다.

임베딩을 쿼리에 사용하려면 파일을 mongosh에 로드하세요.

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

`sample_mflix` 데이터베이스로 전환합니다.

use sample_mflix

switched to db sample_mflix

인덱싱된 필드에 대해 시맨틱 Atlas Search 쿼리를 실행합니다.

_id 필드를 제외하고 title, genres, plot, year 필드만 결과에 포함합니다.
결과의 각 문서에 대한 벡터 검색 점수를 보여주는 score 필드를 추가합니다.

이 필터는 $and 집계 파이프라인 연산자를 사용하여 다음 기준과 모두 일치하는 동영상 문서를 찾습니다.

genres 필드를 사용하여 drama, western, crime가 아닌 action, adventure, family에 속하는 영화를 필터링하세요.
year 필드로 필터링하여 1960년부터 2000년까지 개봉한 영화를 찾습니다.

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

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

필터는 $or 집계 파이프라인 연산자를 사용하여 다음 기준 중 하나와 일치하는 영화 문서를 찾습니다.

genres 필드로 필터링하여 crime 장르에 속하지 않는 영화를 찾습니다.
year 필드로 필터링하여 2015년 또는 그 이전에 개봉된 영화를 찾고 그리고 genres 필드로 필터링하여 action 장르의 영화를 찾습니다.

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

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

`DataService.cs`이라는 파일을 만듭니다.

시도하려는 사전 필터 연산자의 코드를 복사하여 `DataService.cs` 파일에 붙여넣습니다.

_id 필드를 제외하고 title, genres, plot, year 필드만 결과에 포함합니다.
결과의 각 문서에 대한 벡터 검색 점수를 보여주는 score 필드를 추가합니다.

이 필터는 $and 집계 파이프라인 연산자를 사용하여 다음 기준과 모두 일치하는 동영상 문서를 찾습니다.

genres 필드를 사용하여 drama, western, crime가 아닌 action, adventure, family에 속하는 영화를 필터링하세요.
year 필드로 필터링하여 1960년부터 2000년까지 개봉한 영화를 찾습니다.

DataService.cs

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

필터는 $or 집계 파이프라인 연산자를 사용하여 다음 기준 중 하나와 일치하는 영화 문서를 찾습니다.

genres 필드로 필터링하여 crime 장르에 속하지 않는 영화를 찾습니다.
year 필드로 필터링하여 2015년 또는 그 이전에 개봉된 영화를 찾고 그리고 genres 필드로 필터링하여 action 장르의 영화를 찾습니다.

DataService.cs

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

쿼리에서 `<connection-string>`을 바꾼 다음 파일을 저장합니다.

<connection-string>을 Atlas 클러스터 또는 로컬 Atlas 배포서버의 연결 문자열로 교체합니다.

연결 문자열은 다음 형식을 사용해야 합니다.

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

자세한 학습은 드라이버를 통해 클러스터에 연결을 참조하세요.

연결 문자열은 다음 형식을 사용해야 합니다.

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

학습 내용은 연결 문자열을 참조하세요.

Update `Program.cs`.

Program.cs을 업데이트하여 DataService를 초기화하고 쿼리를 수행할 메서드를 호출합니다.

Program.cs

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

프로젝트를 저장하고 실행합니다.

파일을 저장한 후, 프로젝트를 컴파일하고 실행하여 쿼리를 수행합니다.

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 }

`AtlasVectorSearchTutorial.go`이라는 파일을 만듭니다.

시도하려는 사전 필터 연산자의 코드를 복사하여 `AtlasVectorSearchTutorial.go` 파일에 붙여넣습니다.

_id 필드를 제외하고 title, genres, plot, year 필드만 결과에 포함합니다.
결과의 각 문서에 대한 벡터 검색 점수를 보여주는 score 필드를 추가합니다.

이 필터는 $and 집계 파이프라인 연산자를 사용하여 다음 기준과 모두 일치하는 동영상 문서를 찾습니다.

genres 필드를 사용하여 drama, western, crime가 아닌 action, adventure, family에 속하는 영화를 필터링하세요.
year 필드로 필터링하여 1960년부터 2000년까지 개봉한 영화를 찾습니다.

1 package main
2 
3 import (
4 	"context"
5 	"fmt"
6 	"log"
7 
8 	"go.mongodb.org/mongo-driver/bson"
9 	"go.mongodb.org/mongo-driver/mongo"
10 	"go.mongodb.org/mongo-driver/mongo/options"
11 )
12 
13 func main() {
14 	ctx := context.Background()
15 
16 	// Replace the placeholder with your Atlas connection string
17 	const uri = "<connection-string>"
18 
19 	// Connect to your Atlas cluster
20 	clientOptions := options.Client().ApplyURI(uri)
21 	client, err := mongo.Connect(ctx, clientOptions)
22 	if err != nil {
23 		log.Fatalf("failed to connect to the server: %v", err)
24 	}
25 	defer func() { _ = client.Disconnect(ctx) }()
26 
27 	// Set the namespace
28 	coll := client.Database("sample_mflix").Collection("embedded_movies")
29 
30 	queryVector := [2048]float64{
31 		-0.021090532, -0.026399033, -0.024103465, -0.025538195, -0.000549233, 0.011836523, -0.013199517, -0.003766167, -0.005165028, -0.02238179, 0.037876874, 0.010617003, 0.010903949, -0.001354026, 0.006850836, -0.018005863, -0.02195137, 0.019512329, -0.041894119, -0.008357302, 0.027546817, -0.025251249, 0.004340059, -0.02195137, -0.003748232, -0.006205208, 0.021377478, 0.008931194, -0.00173961, -0.009827901, -0.016642869, -0.033572685, -0.026399033, 0.015208139, 0.010114847, -0.0233861, -0.011406104, -0.033142265, -0.008895326, -0.014347301, -0.019081909, -0.049067769, 0.034433521, -0.023673046, 0.004160717, -0.01334299, -0.06714537, 0.032568373, -0.022525262, -0.024677357, 0.011334368, 0.027403345, 0.026399033, -0.016786342, -0.015925504, 0.013916882, -0.005487842, -0.0233861, 0.026542507, -0.052798066, -0.025681669, -0.025394723, 0.014203828, 0.014921193, -0.031564061, 0.010760476, 0.010688739, 0.013916882, -0.037876874, 0.039598551, -0.000816003, 0.003766167, -0.001694775, 0.026972925, -0.009469219, 0.015351612, -0.007245387, 0.028981548, -0.035724778, 0.010688739, 0.001228488, 0.004106915, -0.024677357, 0.028551128, -0.033716157, -0.013486463, 0.018292809, -0.018221073, 0.009612692, -0.003622693, -0.001138817, -0.021234006, -0.045624416, 0.020803586, 0.007675806, -0.009612692, -0.021664424, -0.026685979, -0.025968615, 0.001775478, -0.007496465, 0.02051664, -0.054519743, 0.018221073, 0.014132091, -0.009684428, -0.025825141, -0.014921193, -0.057389203, -0.020660114, -0.028264182, -0.008931194, -0.019942747, -0.003228143, -0.014419037, 0.021234006, -0.004573202, 0.007317123, 0.018651491, -0.016571132, -0.036155198, -0.032855317, 0.000726332, -0.031851009, 0.018938437, 0.021234006, -0.048206929, 0.017934127, -0.013414727, -0.009469219, 0.064849801, 0.006348681, -0.039024659, 0.021377478, -0.022668736, -0.026829453, -0.019081909, 0.027977237, -0.004627005, -0.038450766, 0.004465597, -0.041894119, 0.008213829, 0.03055975, 0.052224174, -0.00277979, -0.032137953, -0.013629936, 0.022094844, -0.005918262, 0.020660114, 0.010617003, -0.020373167, -0.001614071, 0.021090532, -0.005523711, 0.004878082, -0.021090532, 0.029698912, 0.000726332, 0.003371616, -0.022238316, 0.008715985, 0.038737711, 0.013486463, -0.008536644, 0.040172443, 0.017503707, -0.028838074, 0.061693393, -0.003066736, 0.008285566, -0.034576993, 0.01578203, -0.02238179, 0.015925504, 0.066571474, -0.038737711, -0.050215553, 0.009325746, -0.010903949, -0.041607171, -0.006384549, 0.026972925, -0.000119374, -0.003066736, -0.024103465, 0.005093292, 0.028981548, 0.026829453, -0.001703742, 0.043041904, 0.010186584, 0.010688739, 0.004357993, -0.016571132, -0.010545266, -0.033142265, -0.005559579, -0.000365408, -0.00717365, 0.019655801, 0.047633037, 0.044476632, 0.01456251, -0.002977065, 0.025681669, -0.015423348, -0.02051664, -0.019512329, 0.014705983, 0.002977065, 0.03055975, -0.014347301, 0.024390411, 0.005882393, -0.012195205, 0.004071047, -0.028694602, 0.031277116, -0.010114847, 0.005272633, 0.017934127, 0.037589926, -0.046198308, -0.02195137, -0.037876874, 0.021234006, -0.034720469, -0.018005863, 0.03055975, -0.015495085, -0.035150886, 0.004178651, 0.005882393, 0.075753748, 0.00595413, -0.083214343, -0.016284186, 0.022238316, -0.032998793, -0.00491395, -0.009254009, -0.007819279, 0.046198308, -0.008464907, 0.014634247, 0.031707536, -0.00317434, -0.026255561, -0.010617003, -0.033285737, 0.020086221, -0.016858079, -0.012195205, -0.041894119, 0.000721849, 0.038163818, 0.02238179, 0.011406104, 0.010330057, 0.032137953, -0.01047353, 0.039311603, -0.01291257, -0.03099017, -0.018938437, -0.013271254, -0.001820314, -0.005380238, 0.003299879, -0.024533885, -0.001093982, 0.012123469, -0.005236765, 0.014132091, -0.018221073, 0.013629936, 0.022238316, -0.00317434, 0.034003101, 0.019081909, 0.008034488, -0.02912502, 0.026542507, -0.011334368, -0.077475421, 0.038163818, -0.003568891, 0.019081909, 0.019512329, 0.002385239, -0.032568373, -0.020373167, 0.038737711, -0.013773409, 0.01621245, -0.028407656, -0.021090532, -0.004411795, -0.013916882, -0.001533368, 0.004322124, -0.024820831, 0.004627005, -0.004591136, 0.014849456, -0.014275564, -0.020229694, 0.0233861, 0.015566821, 0.022525262, -0.024390411, -0.028694602, 0.001766511, -0.036011726, 0.006456285, -0.011262631, 0.005523711, 0.012266942, -0.019225383, -0.015423348, 0.011836523, -0.011334368, -0.009827901, -0.011119158, 0.007030177, 0.00277979, 0.004537334, -0.016571132, 0.013127781, -0.013701673, -0.016571132, 0.002941197, 0.000959476, -0.004483532, 0.010760476, 0.043041904, -0.032568373, -0.015423348, 0.006169339, -0.02094706, -0.050215553, 0.012769097, 0.015495085, 0.001318158, 0.00164994, -0.045337472, 0.001533368, 0.005595447, 0.039311603, -0.030703224, 0.023242628, -0.008787721, -0.021234006, -0.021234006, -0.001524401, 0.007281255, 0.01334299, 0.00164994, -0.005451974, -0.011047422, -0.021234006, -0.033572685, -0.015423348, -0.005236765, 0.025681669, -0.02051664, -0.024103465, -0.021377478, -0.00738886, -0.031707536, 0.017790653, -0.026829453, 0.007783411, -0.003335747, 0.024677357, 0.006384549, 0.035724778, -0.004017244, -0.018651491, -0.014060355, -0.029842386, -0.012553888, 0.006994309, -0.00317434, 0.018292809, 0.019942747, -0.01169305, 0.002456975, 0.010330057, -0.031707536, 0.00799862, -0.019655801, -0.006205208, -0.012769097, -0.035294361, 0.026112087, -0.004483532, 0.02094706, 0.019081909, 0.001676841, -0.040746335, -0.004035179, -0.014992929, 0.004375927, -0.049928606, -0.02051664, 0.004268322, 0.015351612, -0.037016038, -0.001452664, -0.021234006, -0.005738921, -0.051650282, -0.008285566, 0.012840834, -0.015925504, 0.018794963, -0.001228488, -0.035868254, -0.00347922, -0.003264011, 0.002528712, 0.01477772, -0.010545266, 0.018221073, 0.018149335, -0.028838074, -0.012984307, -0.037302982, -0.041607171, -0.043328848, -0.019799275, -0.019225383, -0.011047422, 0.011908259, 0.021664424, -0.012553888, 0.004662873, 0.005451974, -0.024533885, 0.0067791, 0.022812208, -0.037589926, -0.031564061, 0.007101914, -0.00760407, -0.025107777, 0.015566821, 0.020803586, -0.033572685, 0.062841177, 0.034146577, -0.007532333, -0.001865149, -0.023673046, 0.032424901, 0.018508019, -0.005703052, -0.015853768, 0.019655801, 0.042181063, 0.006671495, -0.004573202, 0.024390411, 0.009756165, -0.00029143, 0.000107605, 0.032711845, -0.005523711, -0.015566821, 0.009110536, 0.017216761, 0.006241076, -0.003945508, 0.007783411, 0.024246939, 0.048206929, 0.00277979, -0.002367305, -0.05107639, -0.016284186, -0.016929815, 0.016858079, 0.000703914, -0.021234006, 0.021234006, -0.014634247, 0.001389895, 0.008321434, -0.016499396, 0.014921193, 0.025394723, 0.035437834, 0.013486463, -0.022668736, -0.012338678, -0.034003101, -0.005559579, -0.008106225, 0.023959992, -0.019368855, 0.024533885, -0.000600793, 0.009756165, -0.001936886, -0.014490774, 0.018077599, 0.004447663, 0.011262631, -0.003658562, 0.043328848, -0.018938437, 0.00799862, -0.018221073, 0.041320227, 0.000363166, -0.003730298, 0.002851526, -0.024103465, 0.003515089, -0.0135582, -0.003497155, -0.006814968, 0.014060355, 0.027116399, -0.003192274, 0.011406104, 0.042468011, -0.036442146, -0.007245387, 0.032424901, -0.038737711, 0.008680117, -0.035581306, 0.027546817, 0.021664424, -0.000757717, -0.022238316, 0.018221073, -0.006205208, 0.005093292, 0.001264356, -0.002116227, 0.001098465, 0.017431971, -0.042181063, 0.010760476, 0.033285737, 0.002708053, -0.007352991, -0.009827901, -0.031994481, -0.020803586, 0.009971374, -0.014849456, -0.003658562, 0.024964303, -0.001793413, 0.021090532, 0.01578203, 0.012984307, 0.006922573, -0.032711845, -0.013701673, 0.00390964, 0.017503707, -0.015351612, 0.006922573, 0.028694602, 0.012266942, -0.027259871, 0.007675806, -0.002295568, -0.020086221, 0.00595413, -0.027833764, 0.001551302, 0.008644248, -0.002187963, 0.00040576, 0.024964303, 0.013916882, -0.015925504, 0.014347301, -0.011549577, 0.018938437, -0.032424901, 0.003730298, 0.003281945, 0.032998793, 0.005595447, 0.025681669, 0.011047422, 0.026399033, 0.02912502, -0.006241076, 0.004627005, 0.024390411, 0.001542335, -0.034576993, 0.011477841, -0.00491395, -0.014347301, 0.023529572, -0.004770477, -0.014921193, -0.028264182, 0.02812071, 0.00164994, 0.008680117, -0.005416106, 0.035581306, -0.02812071, 0.006097603, -0.016355922, -0.010114847, 0.033142265, -0.021807898, 0.001228488, -0.002170029, -0.032711845, 0.018149335, 0.014132091, 0.03055975, 0.031133642, -0.011979996, 0.008967063, -0.013486463, -0.02812071, 0.052224174, 0.004124849, -0.008715985, -0.034863941, 0.025251249, 0.07977099, -0.000072297, -0.014705983, 0.033142265, 0.024103465, -0.004232454, -0.007496465, -0.024246939, -0.029698912, -0.009469219, 0.010114847, 0.001201586, 0.00860838, 0.012051732, -0.006025866, 0.014490774, 0.014992929, 0.01169305, -0.003192274, 0.005308501, 0.0045194, 0.017575443, 0.001022245, -0.018794963, -0.001847215, 0.011119158, 0.02051664, -0.006886704, 0.010330057, -0.003353682, 0.018794963, 0.013773409, 0.026399033, 0.007962752, -0.018221073, -0.012553888, -0.003586825, -0.002170029, 0.047633037, 0.011908259, 0.007209518, 0.045624416, 0.028694602, 0.004357993, 0.023959992, 0.004232454, 0.009182272, 0.003012933, 0.035294361, -0.055954475, 0.014849456, 0.012553888, 0.004340059, -0.000511123, -0.024390411, 0.011406104, 0.013127781, 0.013629936, -0.011406104, 0.002582514, -0.004555268, 0.005559579, 0.000569409, 0.017934127, -0.014060355, 0.02912502, 0.003819969, 0.011190895, -0.011262631, 0.017001551, 0.012553888, -0.02238179, 0.024246939, 0.032281429, 0.032711845, -0.016714605, -0.021520952, 0.016355922, -0.011334368, -0.003891705, -0.008572512, -0.016929815, 0.0135582, -0.057963096, 0.015566821, 0.001856182, -0.002456975, -0.000766684, 0.005380238, 0.000923607, 0.035581306, 0.005272633, -0.009612692, 0.018651491, -0.023959992, -0.001416796, 0.033285737, -0.002725987, 0.024533885, -0.010186584, 0.003802035, -0.029268494, -0.011764786, 0.003837903, 0.022955682, 0.053945851, -0.002232799, 0.019512329, 0.014419037, 0.028407656, 0.004985687, 0.00210726, 0.005774789, 0.032568373, -0.024964303, 0.019655801, -0.012123469, 0.031994481, 0.015638558, 0.038450766, -0.011979996, 0.033716157, 0.019368855, 0.017431971, 0.022668736, 0.015423348, -0.001927919, -0.001102949, 0.028694602, -0.013701673, -0.036155198, -0.010688739, 0.000535782, -0.021807898, -0.005200896, -0.040459387, 0.007137782, -0.006492154, -0.00277979, 0.020803586, 0.027833764, -0.000780134, 0.000600793, -0.025538195, -0.011764786, 0.021090532, 0.028694602, -0.016929815, -0.025251249, 0.029268494, -0.013271254, 0.014634247, 0.000376617, -0.025251249, -0.026255561, -0.037302982, 0.003138472, -0.024677357, -0.019799275, 0.025825141, -0.040746335, 0.002510778, -0.031851009, -0.014347301, -0.00158717, -0.046772201, -0.028838074, 0.006635627, -0.001058113, 0.014132091, -0.00286946, 0.019368855, 0.007281255, 0.036155198, 0.065710634, 0.018794963, -0.029268494, 0.003461286, 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-0.048493877, 0.015638558, -0.036155198, -0.016427658, -0.000600793, 0.003281945, 0.022094844, -0.009110536, -0.017145025, -0.023242628, -0.014921193, 0.023673046, 0.02195137, -0.025394723, 0.003371616, -0.032998793, -0.000959476, -0.037589926, -0.013271254, -0.04476358, -0.015423348, -0.018651491, -0.049067769, 0.033429209, -0.002089326, -0.033716157, -0.000932575, -0.001080531, 0.036155198, -0.004106915, 0.005272633, -0.02195137, -0.010043111, -0.027403345, -0.035868254, 0.006814968, 0.039598551, 0.037302982, -0.041320227, -0.025394723, -0.025394723, -0.000699431, 0.003604759, 0.016355922, -0.00799862, -0.006994309, 0.035150886, 0.020229694, -0.007747543, 0.017647181, 0.026399033, -0.030416278, -0.011908259, 0.026542507, -0.012195205, 0.034146577, -0.006169339, -0.008859458, 0.0045194, 0.019799275, -0.031277116, -0.022812208, 0.007066045, 0.039885495, 0.001264356, -0.026542507, -0.016355922, 0.002214865, -0.018938437, -0.02955544, -0.008070357, -0.006420417, -0.001389895, 0.002241766, -0.018292809, 0.016355922, -0.002134161, 0.037302982, 0.00180238, -0.013199517, -0.020086221, -0.011621314, 0.021377478, -0.005272633, -0.02195137, -0.017216761, 0.037876874, 0.033142265, 0.041607171, -0.011477841, 0.031133642, -0.045050524, -0.003981376, -0.025394723, -0.031707536, 0.024533885, 0.032568373, 0.028694602, -0.021090532, -0.019942747, 0.054806691, -0.004483532, -0.020086221, -0.01599724, 0.018651491, 0.020373167, 0.000504397, -0.007424728, -0.063702017, -0.014203828, 0.030846696, -0.006599758, -0.027259871, -0.024103465, -0.020660114, -0.004985687, 0.005559579, -0.034146577, -0.011549577, -0.00173961, 0.008321434, 0.007030177, -0.015638558,
32 	}
33 
34 	genresFilterCondition := bson.D{
35 		{"$and", bson.A{
36 			bson.D{{"genres", bson.D{{"$nin", bson.A{"Drama", "Western", "Crime"}}}}},
37 			bson.D{{"genres", bson.D{{"$in", bson.A{"Action", "Adventure", "Family"}}}}},
38 		}}}
39 
40 	yearFilterCondition := bson.D{
41 		{"$and", bson.A{
42 			bson.D{{"year", bson.D{{"$gte", 1960}}}},
43 			bson.D{{"year", bson.D{{"$lte", 2000}}}},
44 		}},
45 	}
46 
47 	filter := bson.D{{"$and", bson.A{
48 		genresFilterCondition, yearFilterCondition,
49 	}},
50 	}
51 
52 	vectorSearchStage := bson.D{
53 		{"$vectorSearch", bson.D{
54 			{"index", "vector_index"},
55 			{"path", "plot_embedding_voyage_3_large"},
56 			{"filter", filter},
57 			{"queryVector", queryVector},
58 			{"numCandidates", 200},
59 			{"limit", 10},
60 		}},
61 	}
62 
63 	projectStage := bson.D{
64 		{"$project", bson.D{
65 			{"_id", 0},
66 			{"plot", 1},
67 			{"title", 1},
68 			{"genres", 1},
69 			{"year", 1},
70 			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
71 		}}}
72 
73 	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
74 	if err != nil {
75 		log.Fatalf("failed to retrieve data from the server: %v", err)
76 	}
77 	// display the results
78 	type ProjectedMovieResult struct {
79 		Title  string   `bson:"title"`
80 		Plot   string   `bson:"plot"`
81 		Genres []string `bson:"genres"`
82 		Year   int32    `bson:"year"`
83 		Score  float64  `bson:"score"`
84 	}
85 
86 	var results []ProjectedMovieResult
87 	if err = cursor.All(ctx, &results); err != nil {
88 		log.Fatalf("failed to unmarshal results to ProjectedMovieResult objects: %v", err)
89 	}
90 	for _, result := range results {
91 		fmt.Printf("Title: %v \nPlot: %v \nGenres: %v \nYear: %v \nScore: %v \n\n", result.Title, result.Plot, result.Genres, result.Year, result.Score)
92 	}
93 }

필터는 $or 집계 파이프라인 연산자를 사용하여 다음 기준 중 하나와 일치하는 영화 문서를 찾습니다.

genres 필드로 필터링하여 crime 장르에 속하지 않는 영화를 찾습니다.
year 필드로 필터링하여 2015년 또는 그 이전에 개봉된 영화를 찾고 그리고 genres 필드로 필터링하여 action 장르의 영화를 찾습니다.

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

쿼리에서 `<connection-string>`을 바꾼 다음 파일을 저장합니다.

<connection-string>을 Atlas 클러스터 또는 로컬 Atlas 배포서버의 연결 문자열로 교체합니다.

연결 문자열은 다음 형식을 사용해야 합니다.

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

자세한 학습은 드라이버를 통해 클러스터에 연결을 참조하세요.

연결 문자열은 다음 형식을 사용해야 합니다.

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

학습 내용은 연결 문자열을 참조하세요.

`AtlasVectorSearchTutorial.go` 파일을 컴파일하고 실행합니다.

go run AtlasVectorSearchTutorial.go

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

go run AtlasVectorSearchTutorial.go

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

`AtlasVectorSearchTutorial.java`이라는 파일을 만듭니다.

시도하려는 사전 필터 연산자의 코드를 복사하여 `AtlasVectorSearchTutorial.java` 파일에 붙여넣습니다.

_id 필드를 제외하고 title, genres, plot, year 필드만 결과에 포함합니다.
결과의 각 문서에 대한 벡터 검색 점수를 보여주는 score 필드를 추가합니다.

이 필터는 $and 집계 파이프라인 연산자를 사용하여 다음 기준과 모두 일치하는 동영상 문서를 찾습니다.

genres 필드를 사용하여 drama, western, crime가 아닌 action, adventure, family에 속하는 영화를 필터링하세요.
year 필드로 필터링하여 1960년부터 2000년까지 개봉한 영화를 찾습니다.

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

필터는 $or 집계 파이프라인 연산자를 사용하여 다음 기준 중 하나와 일치하는 영화 문서를 찾습니다.

genres 필드로 필터링하여 crime 장르에 속하지 않는 영화를 찾습니다.
year 필드로 필터링하여 2015년 또는 그 이전에 개봉된 영화를 찾고 그리고 genres 필드로 필터링하여 action 장르의 영화를 찾습니다.

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

쿼리에서 `<connection-string>`을 바꾼 다음 파일을 저장합니다.

<connection-string>을 Atlas 클러스터 또는 로컬 Atlas 배포서버의 연결 문자열로 교체합니다.

연결 문자열은 다음 형식을 사용해야 합니다.

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

자세한 학습은 드라이버를 통해 클러스터에 연결을 참조하세요.

연결 문자열은 다음 형식을 사용해야 합니다.

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

학습 내용은 연결 문자열을 참조하세요.

`AtlasVectorSearchTutorial.java` 파일을 컴파일하고 실행합니다.

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 }

`atlas-vector-search-tutorial.js`이라는 파일을 만듭니다.

시도하려는 사전 필터 연산자에 대한 샘플 쿼리를 복사하여 `atlas-vector-search-tutorial.js` 파일에 붙여넣습니다.

_id 필드를 제외하고 title, genres, plot, year 필드만 결과에 포함합니다.
결과의 각 문서에 대한 벡터 검색 점수를 보여주는 score 필드를 추가합니다.

이 필터는 $and 집계 파이프라인 연산자를 사용하여 다음 기준과 모두 일치하는 동영상 문서를 찾습니다.

genres 필드를 사용하여 drama, western, crime가 아닌 action, adventure, family에 속하는 영화를 필터링하세요.
year 필드로 필터링하여 1960년부터 2000년까지 개봉한 영화를 찾습니다.

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

필터는 $or 집계 파이프라인 연산자를 사용하여 다음 기준 중 하나와 일치하는 영화 문서를 찾습니다.

genres 필드로 필터링하여 crime 장르에 속하지 않는 영화를 찾습니다.
year 필드로 필터링하여 2015년 또는 그 이전에 개봉된 영화를 찾고 그리고 genres 필드로 필터링하여 action 장르의 영화를 찾습니다.

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

쿼리에서 `<connection-string>`을 바꾼 다음 파일을 저장합니다.

<connection-string>을 Atlas 클러스터 또는 로컬 Atlas 배포서버의 연결 문자열로 교체합니다.

연결 문자열은 다음 형식을 사용해야 합니다.

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

자세한 학습은 드라이버를 통해 클러스터에 연결을 참조하세요.

연결 문자열은 다음 형식을 사용해야 합니다.

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

학습 내용은 연결 문자열을 참조하세요.

컬렉션을 쿼리합니다.

다음 명령을 실행하여 컬렉션을 쿼리합니다.

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}'

`atlas-vector-search-tutorial.py`이라는 파일을 만듭니다.

시도하려는 사전 필터 연산자에 대한 쿼리를 복사하여 `atlas-vector-search-tutorial.py` 파일에 붙여넣습니다.

_id 필드를 제외하고 title, genres, plot, year 필드만 결과에 포함합니다.
결과의 각 문서에 대한 벡터 검색 점수를 보여주는 score 필드를 추가합니다.

이 필터는 $and 집계 파이프라인 연산자를 사용하여 다음 기준과 모두 일치하는 동영상 문서를 찾습니다.

genres 필드를 사용하여 drama, western, crime가 아닌 action, adventure, family에 속하는 영화를 필터링하세요.
year 필드로 필터링하여 1960년부터 2000년까지 개봉한 영화를 찾습니다.

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

필터는 $or 집계 파이프라인 연산자를 사용하여 다음 기준 중 하나와 일치하는 영화 문서를 찾습니다.

genres 필드로 필터링하여 crime 장르에 속하지 않는 영화를 찾습니다.
year 필드로 필터링하여 2015년 또는 그 이전에 개봉된 영화를 찾고 그리고 genres 필드로 필터링하여 action 장르의 영화를 찾습니다.

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

쿼리에서 `<connection-string>`을 바꾼 다음 파일을 저장합니다.

<connection-string>을 Atlas 클러스터 또는 로컬 Atlas 배포서버의 연결 문자열로 교체합니다.

연결 문자열은 다음 형식을 사용해야 합니다.

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

자세한 학습은 드라이버를 통해 클러스터에 연결을 참조하세요.

연결 문자열은 다음 형식을 사용해야 합니다.

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

학습 내용은 연결 문자열을 참조하세요.

명령을 실행하여 컬렉션을 쿼리합니다.

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}

돌아가기

로컬 RAG

하이브리드 검색

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

전제 조건

MongoDB Vector Search 인덱스 만들기

필요한 액세스 권한

절차

Atlas .leafygreen-ui-8n27nz{font-style:normal;font-weight:700;}Search & Vector Search 에서 클러스터 의 페이지로 이동합니다.

Create Search Index를 클릭합니다.

인덱스 구성을 시작합니다.

MongoDB Vector Search 인덱스 정의합니다.

Next를 클릭하여 인덱스를 검토합니다.

Create Vector Search Index를 클릭합니다.

Close 버튼을 클릭하여 You're All Set! 모달 창을 닫습니다.

상태를 확인합니다.

참고

mongosh에서 클러스터에 연결합니다.

인덱스를 생성하려는 데이터베이스로 전환합니다.

예시

db.collection.createSearchIndex() 메서드를 실행합니다.

.NET 프로젝트에 MongoDB C# 드라이버를 추가합니다.

인덱스를 정의합니다.

코드에서 <connection-string> 을(를) 바꾼 다음 파일 저장합니다.

Update Program.cs.

프로젝트를 저장하고 실행합니다.

Go 드라이버를 프로젝트에 추가합니다.

인덱스를 정의합니다.

코드에서 <connection-string> 을(를) 바꾼 다음 파일 저장합니다.

다음 명령을 실행하여 인덱스를 생성합니다.

프로젝트에 MongoDB Java Sync Driver를 추가합니다.

인덱스를 정의합니다.

코드에서 <connection-string> 을(를) 바꾼 다음 파일 저장합니다.

파일을 실행하여 인덱스를 생성합니다.

MongoDB Node.js 드라이버를 프로젝트에 추가합니다.

팁

인덱스를 정의합니다.

코드에서 <connection-string> 을(를) 바꾼 다음 파일 저장합니다.

다음 명령을 실행하여 인덱스를 생성합니다.

프로젝트에 PyMongo 드라이버를 추가합니다.

인덱스를 정의합니다.

코드에서 <connection-string> 을(를) 바꾼 다음 파일 저장합니다.

다음 명령을 실행하여 인덱스를 생성합니다.

$vectorSearch 집계 파이프라인 단계를 사용하여 쿼리 실행

개요

절차

쿼리 임베딩을 준비하세요.

mongosh에서 클러스터에 연결합니다.

mongosh에 쿼리 임베딩을 로드합니다.

sample_mflix 데이터베이스로 전환합니다.

인덱싱된 필드에 대해 시맨틱 Atlas Search 쿼리를 실행합니다.

쿼리 임베딩을 준비하세요.

mongosh에서 클러스터에 연결합니다.

mongosh에 쿼리 임베딩을 로드합니다.

sample_mflix 데이터베이스로 전환합니다.

인덱싱된 필드에 대해 시맨틱 Atlas Search 쿼리를 실행합니다.

DataService.cs이라는 파일을 만듭니다.

시도하려는 사전 필터 연산자의 코드를 복사하여 DataService.cs 파일에 붙여넣습니다.

쿼리에서 <connection-string>을 바꾼 다음 파일을 저장합니다.

Update Program.cs.

프로젝트를 저장하고 실행합니다.

AtlasVectorSearchTutorial.go이라는 파일을 만듭니다.

시도하려는 사전 필터 연산자의 코드를 복사하여 AtlasVectorSearchTutorial.go 파일에 붙여넣습니다.

쿼리에서 <connection-string>을 바꾼 다음 파일을 저장합니다.

AtlasVectorSearchTutorial.go 파일을 컴파일하고 실행합니다.

AtlasVectorSearchTutorial.java이라는 파일을 만듭니다.

시도하려는 사전 필터 연산자의 코드를 복사하여 AtlasVectorSearchTutorial.java 파일에 붙여넣습니다.

쿼리에서 <connection-string>을 바꾼 다음 파일을 저장합니다.

AtlasVectorSearchTutorial.java 파일을 컴파일하고 실행합니다.

atlas-vector-search-tutorial.js이라는 파일을 만듭니다.

시도하려는 사전 필터 연산자에 대한 샘플 쿼리를 복사하여 atlas-vector-search-tutorial.js 파일에 붙여넣습니다.

쿼리에서 <connection-string>을 바꾼 다음 파일을 저장합니다.

컬렉션을 쿼리합니다.

atlas-vector-search-tutorial.py이라는 파일을 만듭니다.

시도하려는 사전 필터 연산자에 대한 쿼리를 복사하여 atlas-vector-search-tutorial.py 파일에 붙여넣습니다.

쿼리에서 <connection-string>을 바꾼 다음 파일을 저장합니다.

명령을 실행하여 컬렉션을 쿼리합니다.

스킬 배지 획득

Atlas Search & Vector Search 에서 클러스터 의 페이지로 이동합니다.

`mongosh`에서 클러스터에 연결합니다.

`db.collection.createSearchIndex()` 메서드를 실행합니다.

코드에서 `<connection-string>` 을(를) 바꾼 다음 파일 저장합니다.

Update `Program.cs`.

코드에서 `<connection-string>` 을(를) 바꾼 다음 파일 저장합니다.

코드에서 `<connection-string>` 을(를) 바꾼 다음 파일 저장합니다.

코드에서 `<connection-string>` 을(를) 바꾼 다음 파일 저장합니다.

코드에서 `<connection-string>` 을(를) 바꾼 다음 파일 저장합니다.

`$vectorSearch` 집계 파이프라인 단계를 사용하여 쿼리 실행

`mongosh`에서 클러스터에 연결합니다.

`mongosh`에 쿼리 임베딩을 로드합니다.

`sample_mflix` 데이터베이스로 전환합니다.

`mongosh`에서 클러스터에 연결합니다.

`mongosh`에 쿼리 임베딩을 로드합니다.

`sample_mflix` 데이터베이스로 전환합니다.

`DataService.cs`이라는 파일을 만듭니다.

시도하려는 사전 필터 연산자의 코드를 복사하여 `DataService.cs` 파일에 붙여넣습니다.

쿼리에서 `<connection-string>`을 바꾼 다음 파일을 저장합니다.

Update `Program.cs`.

`AtlasVectorSearchTutorial.go`이라는 파일을 만듭니다.

시도하려는 사전 필터 연산자의 코드를 복사하여 `AtlasVectorSearchTutorial.go` 파일에 붙여넣습니다.

쿼리에서 `<connection-string>`을 바꾼 다음 파일을 저장합니다.

`AtlasVectorSearchTutorial.go` 파일을 컴파일하고 실행합니다.

`AtlasVectorSearchTutorial.java`이라는 파일을 만듭니다.

시도하려는 사전 필터 연산자의 코드를 복사하여 `AtlasVectorSearchTutorial.java` 파일에 붙여넣습니다.

쿼리에서 `<connection-string>`을 바꾼 다음 파일을 저장합니다.

`AtlasVectorSearchTutorial.java` 파일을 컴파일하고 실행합니다.

`atlas-vector-search-tutorial.js`이라는 파일을 만듭니다.

시도하려는 사전 필터 연산자에 대한 샘플 쿼리를 복사하여 `atlas-vector-search-tutorial.js` 파일에 붙여넣습니다.

쿼리에서 `<connection-string>`을 바꾼 다음 파일을 저장합니다.

`atlas-vector-search-tutorial.py`이라는 파일을 만듭니다.

시도하려는 사전 필터 연산자에 대한 쿼리를 복사하여 `atlas-vector-search-tutorial.py` 파일에 붙여넣습니다.

쿼리에서 `<connection-string>`을 바꾼 다음 파일을 저장합니다.