本教程介绍如何对 Atlas 集群上的 collection 中的 字段中的向量执行 ANN 搜索。plot_embedding_voyage_3_large
sample_mflix.embedded_movies
为了演示这一点,它将带您完成以下步骤:
在
sample_mflix.embedded_movies
集合中对名为plot_embedding_voyage_3_large
的数字字段创建 Atlas Vector Search 索引。针对
sample_mflix.embedded_movies
集合中的plot_embedding_voyage_3_large
字段运行 Atlas Vector Search 查询。
➤ 使用选择语言下拉菜单选择用于创建 Atlas Vector Search 索引和运行查询的客户端。
先决条件
在开始之前,请完成通用先决条件。本教程包括以下客户端的示例:
创建 Atlas Vector Search 索引
本部分演示如何在sample_mflix.embedded_movies
collection中的plot_embedding_voyage_3_large
字段上创建 Atlas Vector Search 索引,以便对该字段运行查询。
必需的访问权限
要创建 Atlas Vector Search 索引,您必须拥有 Project Data Access Admin
或更高的项目访问权限。
步骤
开始您的索引配置。
在页面上进行以下选择,然后单击 Next。
Search Type | 选择 Vector Search 索引类型。 |
Index Name and Data Source | 指定以下信息:
|
Configuration Method | For a guided experience, select Visual Editor. To edit the raw index definition, select JSON Editor. |
注意
您的 Atlas Search 索引默认名为 default
。如果保留此名称,则对于任何未在其操作符中指定不同 index
选项的 Atlas Search 查询,您的搜索索引将成为默认搜索索引。如果您要创建多个索引,我们建议您在所有索引中保持一致且具有描述性的命名规则。
定义 Atlas Vector Search 索引。
在此步骤中,您将为以下字段定义 vectorSearch 类型的索引:
plot_embedding_voyage_3_large
字段作为向量类型。plot_embedding_voyage_3_large
字段包含使用 Voyage AI 的voyage-3-large
嵌入模型所创建的嵌入。此索引定义指定了2048
个向量维度,并使用dotProduct
来衡量相似性。genres
字段作为筛选器类型,用于按字段中的字符串值对数据进行预筛选。year
字段作为筛选器类型,用于按字段中的数值对数据进行预筛选。
Atlas会自动检测包含向量嵌入的字段及其对应的维度。对于 sample_mflix.embedded_movies
集合,会显示 plot_embedding
和 plot_embedding_voyage_3_large
字段。在本教程中,您只需索引 plot_embedding_voyage_3_large
字段。
要配置该索引,请执行以下操作:
从 Similarity Method 下拉列表中选择 Dot Product。
单击 Advanced,然后从下拉菜单中选择 Scalar 量化。
在 Filter Field 部分,指定
genres
与year
字段以按它们来过滤该数据。
将默认定义替换为以下索引定义。
1 { 2 "fields": [ 3 { 4 "type": "vector", 5 "path": "plot_embedding_voyage_3_large", 6 "numDimensions": 2048, 7 "similarity": "dotProduct", 8 "quantization": "scalar" 9 }, 10 { 11 "type": "filter", 12 "path": "genres" 13 }, 14 { 15 "type": "filter", 16 "path": "year" 17 } 18 ] 19 }
通过 mongosh
连接到您的集群。
在终端窗口中打开 mongosh
并连接到您的集群。有关连接的详细说明,请参阅通过 mongosh 连接。
运行 db.collection.createSearchIndex()
方法。
以下索引定义在 Atlas Vector Search 索引中将 plot_embedding
字段索引为 vector
类型,并将 genres
和year
字段索引为 filter
类型。plot_embedding
字段包含使用 OpenAI 的 text-embedding-ada-002
嵌入模型创建的嵌入。该索引定义指定了 1536
个向量维度,并使用 dotProduct
函数来衡量相似度。
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 );
定义索引。
创建一个名为 IndexService.cs
的文件。将以下代码复制并粘贴到文件中,并替换 <connection-string>
占位符值。
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 }
此索引定义在 Atlas Vector Search 索引中将 plot_embedding_voyage_3_large
字段索引为 vector
类型,并将 genres
和 year
字段索引为 filter
类型。plot_embedding_voyage_3_large
字段包含使用 Voyage AI 的 voyage-3-large
嵌入模型创建的嵌入。该索引定义指定了 2048
个向量维度,并使用 dotProduct
函数来衡量相似度。
定义索引。
创建一个名为 vector-index.go
的文件。将以下代码复制并粘贴到文件中,并替换 <connectionString>
占位符值。
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 }
此索引定义在 Atlas Vector Search 索引中将 plot_embedding_voyage_3_large
字段索引为 vector
类型,并将 genres
和 year
字段索引为 filter
类型。plot_embedding_voyage_3_large
字段包含使用 Voyage AI 的 voyage-3-large
嵌入模型创建的嵌入。该索引定义指定了 2048
个向量维度,并使用 dotProduct
函数来衡量相似度。
将 MongoDB Java Sync 驱动程序添加到您的项目中。
将 Java 驱动程序 5.2 或更高版本作为依赖项添加到您的项目中,具体取决于您的包管理器:
如果使用 Maven,请将以下依赖项添加到项目的
pom.xml
文件的dependencies
大量中:pom.xml<dependencies> <!-- MongoDB Java Sync Driver v5.2.0 or later --> <dependency> <groupId>org.mongodb</groupId> <artifactId>mongodb-driver-sync</artifactId> <version>[5.2.0,)</version> </dependency> </dependencies> 运行包管理器以安装项目的依赖项。
有关更详细的安装说明和版本兼容性信息,请参阅 MongoDB Java 驱动程序文档。
定义索引。
创建一个名为 VectorIndex.java
的文件。将以下代码复制并粘贴到文件中,并替换 <connectionString>
占位符值。
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 Atlas to build the index 55 System.out.println("Polling to confirm the index has left the BUILDING status."); 56 // No special handling in case of a timeout. Custom handling can be implemented. 57 waitForIndex(collection, indexName); 58 } 59 } 60 61 /** 62 * Polls the collection to check whether the specified index is ready to query. 63 */ 64 public static <T> boolean waitForIndex(final MongoCollection<T> collection, final String indexName) { 65 long startTime = System.nanoTime(); 66 long timeoutNanos = TimeUnit.SECONDS.toNanos(60); 67 while (System.nanoTime() - startTime < timeoutNanos) { 68 Document indexRecord = StreamSupport.stream(collection.listSearchIndexes().spliterator(), false) 69 .filter(index -> indexName.equals(index.getString("name"))) 70 .findAny().orElse(null); 71 if (indexRecord != null) { 72 if ("FAILED".equals(indexRecord.getString("status"))) { 73 throw new RuntimeException("Search index has FAILED status."); 74 } 75 if (indexRecord.getBoolean("queryable")) { 76 System.out.println(indexName + " index is ready to query"); 77 return true; 78 } 79 } 80 try { 81 Thread.sleep(100); // busy-wait, avoid in production 82 } catch (InterruptedException e) { 83 Thread.currentThread().interrupt(); 84 throw new RuntimeException(e); 85 } 86 } 87 return false; 88 } 89 }
此索引定义在 Atlas Vector Search 索引中将 plot_embedding_voyage_3_large
字段索引为 vector
类型,并将 genres
和 year
字段索引为 filter
类型。plot_embedding_voyage_3_large
字段包含使用 Voyage AI 的 voyage-3-large
嵌入模型创建的嵌入。该索引定义指定了 2048
个向量维度,并使用 dotProduct
函数来衡量相似度。
运行该文件,以创建索引。
在 IDE 中运行该文件,或从命令行执行命令来运行代码。
javac VectorIndex.java java VectorIndex
Successfully created a vector index named: [vector_index] It may take up to a minute for the index to build before you can query using it. Polling to confirm the index has completed building. vector_index index is ready to query
定义索引。
创建一个名为 vector-index.js
的文件。将以下代码复制并粘贴到文件中,并替换 <connectionString>
占位符值。
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 Atlas Vector Search index 14 const index = { 15 name: "vector_index", 16 type: "vectorSearch", 17 definition: { 18 "fields": [ 19 { 20 "type": "vector", 21 "numDimensions": 2048, 22 "path": "plot_embedding_voyage_3_large", 23 "similarity": "dotProduct", 24 "quantization": "scalar" 25 }, 26 { 27 "type": "filter", 28 "path": "genres" 29 }, 30 { 31 "type": "filter", 32 "path": "year" 33 } 34 ] 35 } 36 } 37 38 // run the helper method 39 const result = await collection.createSearchIndex(index); 40 console.log(`New search index named ${result} is building.`); 41 42 // wait for the index to be ready to query 43 console.log("Polling to check if the index is ready. This may take up to a minute.") 44 let isQueryable = false; 45 while (!isQueryable) { 46 const cursor = collection.listSearchIndexes(); 47 for await (const index of cursor) { 48 if (index.name === result) { 49 if (index.queryable) { 50 console.log(`${result} is ready for querying.`); 51 isQueryable = true; 52 } else { 53 await new Promise(resolve => setTimeout(resolve, 5000)); 54 } 55 } 56 } 57 } 58 } finally { 59 await client.close(); 60 } 61 } 62 run().catch(console.dir);
此索引定义在 Atlas Vector Search 索引中将 plot_embedding_voyage_3_large
字段索引为 vector
类型,并将 genres
和 year
字段索引为 filter
类型。plot_embedding_voyage_3_large
字段包含使用 Voyage AI 的 voyage-3-large
嵌入模型创建的嵌入。该索引定义指定了 2048
个向量维度,并使用 dotProduct
函数来衡量相似度。
定义索引。
创建一个名为 vector-index.py
的文件。将以下代码复制并粘贴到文件中,并替换 <connectionString>
占位符值。
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()
此索引定义在 Atlas Vector Search 索引中将 plot_embedding_voyage_3_large
字段索引为 vector
类型,并将 genres
和 year
字段索引为 filter
类型。plot_embedding_voyage_3_large
字段包含使用 Voyage AI 的 voyage-3-large
嵌入模型创建的嵌入。此索引定义指定了 2048
个向量维度,使用 dotProduct
函数来测量相似性,并启用自动 scalar
量化以高效处理您的向量。
使用 $vectorSearch
聚合管道阶段运行查询
Overview
本节演示如何使用 $vectorSearch
阶段查询 sample_mflix.embedded_movies
集合中的索引向量数据。这些示例查询还演示了各种查询和聚合管道操作符,我们可以在查询中使用它们来对我们要执行语义搜索的数据进行预过滤。
步骤
准备您的查询嵌入。
将以下嵌入保存在名为 query-embeddings.js
的文件中:
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通过 mongosh
连接到您的集群。
在终端窗口中打开 mongosh
并连接到您的集群。有关连接的详细说明,请参阅通过 mongosh 连接。
针对索引字段运行语义Atlas Search查询。
以下查询使用 $vectorSearch
管道阶段搜索与指定向量嵌入匹配的电影。这些查询指定最多搜索 100
个最近邻,并将结果限制为仅 10
个文档。这些查询还指定了一个 $project
阶段以执行以下操作:
在结果中排除
_id
字段,而仅包含title
、genres
、plot
和year
字段。添加一个名为
score
的字段,以显示结果中的每个文档的向量搜索分数。
以下查询使用向量嵌入在 plot_embedding_voyage_3_large
字段中搜索字符串 kids adventure。它为每个字段指定多个比较查询操作符,以对要执行语义搜索的文档进行预过滤。
该过滤器使用 $and
聚合管道操作符查找符合以下两个条件的电影文档:
按
genres
字段过滤,以查找不属于drama
、western
或crime
类型但属于action
、adventure
或family
类型的电影。按
year
字段过滤,以查找在1960
和2000
年份(含这两个年份)之间发行的电影。
1 db.embedded_movies.aggregate([ 2 { 3 "$vectorSearch": { 4 "index": "vector_index", 5 "path": "plot_embedding_voyage_3_large", 6 "filter": { 7 "$and": [{ 8 "genres": { 9 "$nin": ["Drama", "Western", "Crime"], 10 "$in": ["Action", "Adventure", "Family"] 11 }, 12 }, { 13 "year": { 14 "$gte": 1960, 15 "$lte": 2000 16 } 17 }] 18 }, 19 "queryVector": KIDS_ADVENTURE_EMBEDDING, 20 "numCandidates": 200, 21 "limit": 10 22 } 23 }, 24 { 25 "$project": { 26 "_id": 0, 27 "title": 1, 28 "genres": 1, 29 "plot": 1, 30 "year": 1, 31 "score": { $meta: "vectorSearchScore" } 32 } 33 } 34 ])
1 [ 2 { 3 plot: 'Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...', 4 genres: [ 'Action', 'Adventure', 'Comedy' ], 5 title: '3 Ninjas: High Noon at Mega Mountain', 6 year: 1998, 7 score: 0.7746343612670898 8 }, 9 { 10 plot: "A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...", 11 genres: [ 'Action', 'Adventure', 'Family' ], 12 title: 'White Wolves: A Cry in the Wild II', 13 year: 1993, 14 score: 0.770106315612793 15 }, 16 { 17 plot: 'A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.', 18 genres: [ 'Action', 'Adventure', 'Sci-Fi' ], 19 title: 'Space Raiders', 20 year: 1983, 21 score: 0.7569591999053955 22 }, 23 { 24 plot: 'Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.', 25 genres: [ 'Adventure', 'Family', 'Fantasy' ], 26 title: 'The Ewok Adventure', 27 year: 1984, 28 score: 0.7515435218811035 29 }, 30 { 31 plot: 'A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.', 32 genres: [ 'Adventure', 'Comedy', 'Fantasy' ], 33 title: 'Time Bandits', 34 year: 1981, 35 score: 0.7513599395751953 36 }, 37 { 38 plot: 'A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.', 39 genres: [ 'Adventure', 'Family', 'Fantasy' ], 40 title: 'Chitty Chitty Bang Bang', 41 year: 1968, 42 score: 0.7492260932922363 43 }, 44 { 45 plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.', 46 genres: [ 'Action', 'Adventure', 'Comedy' ], 47 title: 'Forest Warrior', 48 year: 1996, 49 score: 0.7473714351654053 50 }, 51 { 52 plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.', 53 genres: [ 'Action', 'Adventure', 'Comedy' ], 54 title: 'Forest Warrior', 55 year: 1996, 56 score: 0.7473714351654053 57 }, 58 { 59 plot: 'A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.', 60 genres: [ 'Action', 'Fantasy', 'Adventure' ], 61 title: 'Warriors of Virtue', 62 year: 1997, 63 score: 0.7464213371276855 64 }, 65 { 66 plot: 'A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...', 67 genres: [ 'Animation', 'Adventure', 'Fantasy' ], 68 title: 'Taxandria', 69 year: 1994, 70 score: 0.7453246116638184 71 } 72 ]
以下查询使用向量嵌入在 plot_embedding_voyage_3_large
字段中搜索字符串 star wars。它指定了若干个聚合管道和比较查询操作符来演示如何组合使用操作符来过滤数据。
该过滤器使用 $or
聚合管道操作符来查找符合以下任一条件的电影文档:
按
genres
字段过滤,查找不属于crime
类型的电影。按
year
字段进行过滤可查找在2015
年或之前上映的电影,按genres
字段进行过滤可查找属于action
类型的电影。
1 db.embedded_movies.aggregate([ 2 { 3 "$vectorSearch": { 4 "index": "vector_index", 5 "path": "plot_embedding_voyage_3_large", 6 "filter": { 7 "$or": [{ 8 "genres": { "$ne": "Crime" } 9 }, { 10 "$and": [{ 11 "year": { "$lte": 2015 } 12 }, { 13 "genres": { "$eq": "Action" } 14 }] 15 }] 16 }, 17 "queryVector": STAR_WARS_EMBEDDING, 18 "numCandidates": 200, 19 "limit": 10 20 } 21 }, 22 { 23 "$project": { 24 "_id": 0, 25 "title": 1, 26 "genres": 1, 27 "plot": 1, 28 "released": 1, 29 "score": { $meta: "vectorSearchScore" } 30 } 31 } 32 ])
1 [ 2 { 3 plot: "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.", 4 genres: [ 'Action', 'Adventure', 'Fantasy' ], 5 title: 'Star Wars: Episode IV - A New Hope', 6 released: ISODate('1977-05-25T00:00:00.000Z'), 7 score: 0.79868483543396 8 }, 9 { 10 plot: "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.", 11 genres: [ 'Action', 'Adventure', 'Sci-Fi' ], 12 title: 'Dune', 13 released: ISODate('1984-12-14T00:00:00.000Z'), 14 score: 0.7949700355529785 15 }, 16 { 17 plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...', 18 genres: [ 'Action', 'Adventure', 'Sci-Fi' ], 19 title: 'Message from Space', 20 released: ISODate('1978-10-30T00:00:00.000Z'), 21 score: 0.7913978099822998 22 }, 23 { 24 plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...', 25 genres: [ 'Action', 'Adventure', 'Sci-Fi' ], 26 title: 'Message from Space', 27 released: ISODate('1978-10-30T00:00:00.000Z'), 28 score: 0.7913978099822998 29 }, 30 { 31 plot: 'After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.', 32 genres: [ 'Action', 'Adventure', 'Fantasy' ], 33 title: 'Star Wars: Episode V - The Empire Strikes Back', 34 released: ISODate('1980-06-20T00:00:00.000Z'), 35 score: 0.7809884548187256 36 }, 37 { 38 plot: 'After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.', 39 genres: [ 'Action', 'Adventure', 'Fantasy' ], 40 title: 'Star Wars: Episode VI - Return of the Jedi', 41 released: ISODate('1983-05-25T00:00:00.000Z'), 42 score: 0.7784996032714844 43 }, 44 { 45 plot: 'Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.', 46 genres: [ 'Action', 'Adventure', 'Fantasy' ], 47 title: 'Star Wars: Episode I - The Phantom Menace', 48 released: ISODate('1999-05-19T00:00:00.000Z'), 49 score: 0.7766742706298828 50 }, 51 { 52 plot: 'The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...', 53 genres: [ 'Adventure', 'Family', 'Fantasy' ], 54 title: 'Ewoks: The Battle for Endor', 55 released: ISODate('1985-11-24T00:00:00.000Z'), 56 score: 0.7676119804382324 57 }, 58 { 59 plot: 'A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.', 60 genres: [ 'Action', 'Adventure', 'Fantasy' ], 61 title: 'Krull', 62 released: ISODate('1983-07-29T00:00:00.000Z'), 63 score: 0.7624373435974121 64 }, 65 { 66 plot: 'An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.', 67 genres: [ 'Action', 'Adventure', 'Fantasy' ], 68 title: 'Starcrash', 69 released: ISODate('1979-03-09T00:00:00.000Z'), 70 score: 0.7582714557647705 71 } 72 ]
准备您的查询嵌入。
将以下嵌入保存在名为 query-embeddings.js
的文件中:
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通过 mongosh
连接到您的集群。
在终端窗口中打开 mongosh
并连接到您的集群。有关连接的详细说明,请参阅通过 mongosh 连接。
针对索引字段运行语义Atlas Search查询。
以下查询使用 $vectorSearch
管道阶段搜索与指定向量嵌入匹配的电影。这些查询指定最多搜索 100
个最近邻,并将结果限制为仅 10
个文档。这些查询还指定了一个 $project
阶段以执行以下操作:
在结果中排除
_id
字段,而仅包含title
、genres
、plot
和year
字段。添加一个名为
score
的字段,以显示结果中的每个文档的向量搜索分数。
以下查询使用向量嵌入在 plot_embedding_voyage_3_large
字段中搜索字符串 kids adventure。它为每个字段指定多个比较查询操作符,以对要执行语义搜索的文档进行预过滤。
该过滤器使用 $and
聚合管道操作符查找符合以下两个条件的电影文档:
按
genres
字段过滤,以查找不属于drama
、western
或crime
类型但属于action
、adventure
或family
类型的电影。按
year
字段过滤,以查找在1960
和2000
年份(含这两个年份)之间发行的电影。
1 db.embedded_movies.aggregate([ 2 { 3 "$vectorSearch": { 4 "index": "vector_index", 5 "path": "plot_embedding_voyage_3_large", 6 "filter": { 7 "$and": [{ 8 "genres": { 9 "$nin": ["Drama", "Western", "Crime"], 10 "$in": ["Action", "Adventure", "Family"] 11 }, 12 }, { 13 "year": { 14 "$gte": 1960, 15 "$lte": 2000 16 } 17 }] 18 }, 19 "queryVector": KIDS_ADVENTURE_EMBEDDING, 20 "numCandidates": 200, 21 "limit": 10 22 } 23 }, 24 { 25 "$project": { 26 "_id": 0, 27 "title": 1, 28 "genres": 1, 29 "plot": 1, 30 "year": 1, 31 "score": { $meta: "vectorSearchScore" } 32 } 33 } 34 ])
1 [ 2 { 3 plot: 'Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...', 4 genres: [ 'Action', 'Adventure', 'Comedy' ], 5 title: '3 Ninjas: High Noon at Mega Mountain', 6 year: 1998, 7 score: 0.7746343612670898 8 }, 9 { 10 plot: "A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...", 11 genres: [ 'Action', 'Adventure', 'Family' ], 12 title: 'White Wolves: A Cry in the Wild II', 13 year: 1993, 14 score: 0.770106315612793 15 }, 16 { 17 plot: 'A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.', 18 genres: [ 'Action', 'Adventure', 'Sci-Fi' ], 19 title: 'Space Raiders', 20 year: 1983, 21 score: 0.7569591999053955 22 }, 23 { 24 plot: 'Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.', 25 genres: [ 'Adventure', 'Family', 'Fantasy' ], 26 title: 'The Ewok Adventure', 27 year: 1984, 28 score: 0.7515435218811035 29 }, 30 { 31 plot: 'A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.', 32 genres: [ 'Adventure', 'Comedy', 'Fantasy' ], 33 title: 'Time Bandits', 34 year: 1981, 35 score: 0.7513599395751953 36 }, 37 { 38 plot: 'A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.', 39 genres: [ 'Adventure', 'Family', 'Fantasy' ], 40 title: 'Chitty Chitty Bang Bang', 41 year: 1968, 42 score: 0.7492260932922363 43 }, 44 { 45 plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.', 46 genres: [ 'Action', 'Adventure', 'Comedy' ], 47 title: 'Forest Warrior', 48 year: 1996, 49 score: 0.7473714351654053 50 }, 51 { 52 plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.', 53 genres: [ 'Action', 'Adventure', 'Comedy' ], 54 title: 'Forest Warrior', 55 year: 1996, 56 score: 0.7473714351654053 57 }, 58 { 59 plot: 'A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.', 60 genres: [ 'Action', 'Fantasy', 'Adventure' ], 61 title: 'Warriors of Virtue', 62 year: 1997, 63 score: 0.7464213371276855 64 }, 65 { 66 plot: 'A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...', 67 genres: [ 'Animation', 'Adventure', 'Fantasy' ], 68 title: 'Taxandria', 69 year: 1994, 70 score: 0.7453246116638184 71 } 72 ]
以下查询使用向量嵌入在 plot_embedding_voyage_3_large
字段中搜索字符串 star wars。它指定了若干个聚合管道和比较查询操作符来演示如何组合使用操作符来过滤数据。
该过滤器使用 $or
聚合管道操作符来查找符合以下任一条件的电影文档:
按
genres
字段过滤,查找不属于crime
类型的电影。按
year
字段进行过滤可查找在2015
年或之前上映的电影,按genres
字段进行过滤可查找属于action
类型的电影。
1 db.embedded_movies.aggregate([ 2 { 3 "$vectorSearch": { 4 "index": "vector_index", 5 "path": "plot_embedding_voyage_3_large", 6 "filter": { 7 "$or": [{ 8 "genres": { "$ne": "Crime" } 9 }, { 10 "$and": [{ 11 "year": { "$lte": 2015 } 12 }, { 13 "genres": { "$eq": "Action" } 14 }] 15 }] 16 }, 17 "queryVector": STAR_WARS_EMBEDDING, 18 "numCandidates": 200, 19 "limit": 10 20 } 21 }, 22 { 23 "$project": { 24 "_id": 0, 25 "title": 1, 26 "genres": 1, 27 "plot": 1, 28 "released": 1, 29 "score": { $meta: "vectorSearchScore" } 30 } 31 } 32 ])
1 [ 2 { 3 plot: "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.", 4 genres: [ 'Action', 'Adventure', 'Fantasy' ], 5 title: 'Star Wars: Episode IV - A New Hope', 6 released: ISODate('1977-05-25T00:00:00.000Z'), 7 score: 0.79868483543396 8 }, 9 { 10 plot: "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.", 11 genres: [ 'Action', 'Adventure', 'Sci-Fi' ], 12 title: 'Dune', 13 released: ISODate('1984-12-14T00:00:00.000Z'), 14 score: 0.7949700355529785 15 }, 16 { 17 plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...', 18 genres: [ 'Action', 'Adventure', 'Sci-Fi' ], 19 title: 'Message from Space', 20 released: ISODate('1978-10-30T00:00:00.000Z'), 21 score: 0.7913978099822998 22 }, 23 { 24 plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...', 25 genres: [ 'Action', 'Adventure', 'Sci-Fi' ], 26 title: 'Message from Space', 27 released: ISODate('1978-10-30T00:00:00.000Z'), 28 score: 0.7913978099822998 29 }, 30 { 31 plot: 'After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.', 32 genres: [ 'Action', 'Adventure', 'Fantasy' ], 33 title: 'Star Wars: Episode V - The Empire Strikes Back', 34 released: ISODate('1980-06-20T00:00:00.000Z'), 35 score: 0.7809884548187256 36 }, 37 { 38 plot: 'After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.', 39 genres: [ 'Action', 'Adventure', 'Fantasy' ], 40 title: 'Star Wars: Episode VI - Return of the Jedi', 41 released: ISODate('1983-05-25T00:00:00.000Z'), 42 score: 0.7784996032714844 43 }, 44 { 45 plot: 'Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.', 46 genres: [ 'Action', 'Adventure', 'Fantasy' ], 47 title: 'Star Wars: Episode I - The Phantom Menace', 48 released: ISODate('1999-05-19T00:00:00.000Z'), 49 score: 0.7766742706298828 50 }, 51 { 52 plot: 'The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...', 53 genres: [ 'Adventure', 'Family', 'Fantasy' ], 54 title: 'Ewoks: The Battle for Endor', 55 released: ISODate('1985-11-24T00:00:00.000Z'), 56 score: 0.7676119804382324 57 }, 58 { 59 plot: 'A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.', 60 genres: [ 'Action', 'Adventure', 'Fantasy' ], 61 title: 'Krull', 62 released: ISODate('1983-07-29T00:00:00.000Z'), 63 score: 0.7624373435974121 64 }, 65 { 66 plot: 'An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.', 67 genres: [ 'Action', 'Adventure', 'Fantasy' ], 68 title: 'Starcrash', 69 released: ISODate('1979-03-09T00:00:00.000Z'), 70 score: 0.7582714557647705 71 } 72 ]
将想要尝试的预过滤运算符的代码复制并粘贴到 DataService.cs
文件中。
以下查询使用 $vectorSearch
管道阶段搜索与指定向量嵌入匹配的电影。这些查询指定最多搜索 100
个最近邻,并将结果限制为仅 10
个文档。这些查询还指定了一个 $project
阶段以执行以下操作:
在结果中排除
_id
字段,而仅包含title
、genres
、plot
和year
字段。添加一个名为
score
的字段,以显示结果中的每个文档的向量搜索分数。
以下查询使用向量嵌入在 plot_embedding_voyage_3_large
字段中搜索字符串 kids adventure。它为每个字段指定多个比较查询操作符,以对要执行语义搜索的文档进行预过滤。
该过滤器使用 $and
聚合管道操作符查找符合以下两个条件的电影文档:
按
genres
字段过滤,以查找不属于drama
、western
或crime
类型但属于action
、adventure
或family
类型的电影。按
year
字段过滤,以查找在1960
和2000
年份(含这两个年份)之间发行的电影。
1 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 }
以下查询使用向量嵌入在 plot_embedding_voyage_3_large
字段中搜索字符串 star wars。它指定了若干个聚合管道和比较查询操作符来演示如何组合使用操作符来过滤数据。
该过滤器使用 $or
聚合管道操作符来查找符合以下任一条件的电影文档:
按
genres
字段过滤,查找不属于crime
类型的电影。按
year
字段进行过滤可查找在2015
年或之前上映的电影,按genres
字段进行过滤可查找属于action
类型的电影。
1 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 }
将 <connection-string>
替换为您的 Atlas 连接字符串,然后保存文件。
确保您的连接字符串包含数据库用户的档案。要了解详情,请参阅通过驱动程序连接。
Update Program.cs
.
更新 Program.cs
以初始化 DataService
并调用该方法来执行查询。
1 using query_quick_start; 2 3 var dataService = new DataService(); 4 var results = dataService.PerformVectorQuery(); 5 if (results != null) 6 { 7 foreach (var document in results) 8 { 9 Console.WriteLine(document); 10 } 11 } 12 else 13 { 14 Console.WriteLine("The query returned no results."); 15 }
保存并运行该项目。
保存文件,然后编译并运行您的项目以执行查询。
dotnet run query_quick_start.csproj
1 { "plot" : "Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...", "genres" : ["Action", "Adventure", "Comedy"], "title" : "3 Ninjas: High Noon at Mega Mountain", "year" : 1998, "score" : 0.77463436126708984 } 2 { "plot" : "A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...", "genres" : ["Action", "Adventure", "Family"], "title" : "White Wolves: A Cry in the Wild II", "year" : 1993, "score" : 0.77010631561279297 } 3 { "plot" : "A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.", "genres" : ["Action", "Adventure", "Sci-Fi"], "title" : "Space Raiders", "year" : 1983, "score" : 0.75695919990539551 } 4 { "plot" : "Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.", "genres" : ["Adventure", "Family", "Fantasy"], "title" : "The Ewok Adventure", "year" : 1984, "score" : 0.75154352188110352 } 5 { "plot" : "A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.", "genres" : ["Adventure", "Comedy", "Fantasy"], "title" : "Time Bandits", "year" : 1981, "score" : 0.75135993957519531 } 6 { "plot" : "A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.", "genres" : ["Adventure", "Family", "Fantasy"], "title" : "Chitty Chitty Bang Bang", "year" : 1968, "score" : 0.74922609329223633 } 7 { "plot" : "A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.", "genres" : ["Action", "Adventure", "Comedy"], "title" : "Forest Warrior", "year" : 1996, "score" : 0.74737143516540527 } 8 { "plot" : "A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.", "genres" : ["Action", "Adventure", "Comedy"], "title" : "Forest Warrior", "year" : 1996, "score" : 0.74737143516540527 } 9 { "plot" : "A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.", "genres" : ["Action", "Fantasy", "Adventure"], "title" : "Warriors of Virtue", "year" : 1997, "score" : 0.74642133712768555 } 10 { "plot" : "A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...", "genres" : ["Animation", "Adventure", "Fantasy"], "title" : "Taxandria", "year" : 1994, "score" : 0.74532461166381836 }
dotnet run query_quick_start.csproj
1 { "year" : 1977, "plot" : "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Star Wars: Episode IV - A New Hope", "score" : 0.79868483543395996 } 2 { "plot" : "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.", "genres" : ["Action", "Adventure", "Sci-Fi"], "title" : "Dune", "year" : 1984, "score" : 0.79497003555297852 } 3 { "plot" : "In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...", "genres" : ["Action", "Adventure", "Sci-Fi"], "title" : "Message from Space", "year" : 1978, "score" : 0.7913978099822998 } 4 { "plot" : "In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...", "genres" : ["Action", "Adventure", "Sci-Fi"], "title" : "Message from Space", "year" : 1978, "score" : 0.7913978099822998 } 5 { "year" : 1980, "plot" : "After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Star Wars: Episode V - The Empire Strikes Back", "score" : 0.78098845481872559 } 6 { "plot" : "After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Star Wars: Episode VI - Return of the Jedi", "year" : 1983, "score" : 0.77849960327148438 } 7 { "plot" : "Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Star Wars: Episode I - The Phantom Menace", "year" : 1999, "score" : 0.77667427062988281 } 8 { "plot" : "The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...", "genres" : ["Adventure", "Family", "Fantasy"], "title" : "Ewoks: The Battle for Endor", "year" : 1985, "score" : 0.76761198043823242 } 9 { "plot" : "A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Krull", "year" : 1983, "score" : 0.76243734359741211 } 10 { "plot" : "An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.", "genres" : ["Action", "Adventure", "Fantasy"], "title" : "Starcrash", "year" : 1978, "score" : 0.75827145576477051 }
将想要尝试的预过滤运算符的代码复制并粘贴到 AtlasVectorSearchTutorial.go
文件中。
以下查询使用 $vectorSearch
管道阶段搜索与指定向量嵌入匹配的电影。这些查询指定最多搜索 100
个最近邻,并将结果限制为仅 10
个文档。这些查询还指定了一个 $project
阶段以执行以下操作:
在结果中排除
_id
字段,而仅包含title
、genres
、plot
和year
字段。添加一个名为
score
的字段,以显示结果中的每个文档的向量搜索分数。
以下查询使用向量嵌入在 plot_embedding_voyage_3_large
字段中搜索字符串 kids adventure。它为每个字段指定多个比较查询操作符,以对要执行语义搜索的文档进行预过滤。
该过滤器使用 $and
聚合管道操作符查找符合以下两个条件的电影文档:
按
genres
字段过滤,以查找不属于drama
、western
或crime
类型但属于action
、adventure
或family
类型的电影。按
year
字段过滤,以查找在1960
和2000
年份(含这两个年份)之间发行的电影。
1 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, 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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, 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0.024533885, 0.032568373, 0.028694602, -0.021090532, -0.019942747, 0.054806691, -0.004483532, -0.020086221, -0.01599724, 0.018651491, 0.020373167, 0.000504397, -0.007424728, -0.063702017, -0.014203828, 0.030846696, -0.006599758, -0.027259871, -0.024103465, -0.020660114, -0.004985687, 0.005559579, -0.034146577, -0.011549577, -0.00173961, 0.008321434, 0.007030177, -0.015638558, 32 } 33 34 genresFilterCondition := bson.D{ 35 {"$and", bson.A{ 36 bson.D{{"genres", bson.D{{"$nin", bson.A{"Drama", "Western", "Crime"}}}}}, 37 bson.D{{"genres", bson.D{{"$in", bson.A{"Action", "Adventure", "Family"}}}}}, 38 }}} 39 40 yearFilterCondition := bson.D{ 41 {"$and", bson.A{ 42 bson.D{{"year", bson.D{{"$gte", 1960}}}}, 43 bson.D{{"year", bson.D{{"$lte", 2000}}}}, 44 }}, 45 } 46 47 filter := bson.D{{"$and", bson.A{ 48 genresFilterCondition, yearFilterCondition, 49 }}, 50 } 51 52 vectorSearchStage := bson.D{ 53 {"$vectorSearch", bson.D{ 54 {"index", "vector_index"}, 55 {"path", "plot_embedding_voyage_3_large"}, 56 {"filter", filter}, 57 {"queryVector", queryVector}, 58 {"numCandidates", 200}, 59 {"limit", 10}, 60 }}, 61 } 62 63 projectStage := bson.D{ 64 {"$project", bson.D{ 65 {"_id", 0}, 66 {"plot", 1}, 67 {"title", 1}, 68 {"genres", 1}, 69 {"year", 1}, 70 {"score", bson.D{{"$meta", "vectorSearchScore"}}}, 71 }}} 72 73 cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage}) 74 if err != nil { 75 log.Fatalf("failed to retrieve data from the server: %v", err) 76 } 77 // display the results 78 type ProjectedMovieResult struct { 79 Title string `bson:"title"` 80 Plot string `bson:"plot"` 81 Genres []string `bson:"genres"` 82 Year int32 `bson:"year"` 83 Score float64 `bson:"score"` 84 } 85 86 var results []ProjectedMovieResult 87 if err = cursor.All(ctx, &results); err != nil { 88 log.Fatalf("failed to unmarshal results to ProjectedMovieResult objects: %v", err) 89 } 90 for _, result := range results { 91 fmt.Printf("Title: %v \nPlot: %v \nGenres: %v \nYear: %v \nScore: %v \n\n", result.Title, result.Plot, result.Genres, result.Year, result.Score) 92 } 93 }
以下查询使用向量嵌入在 plot_embedding_voyage_3_large
字段中搜索字符串 star wars。它指定了若干个聚合管道和比较查询操作符来演示如何组合使用操作符来过滤数据。
该过滤器使用 $or
聚合管道操作符来查找符合以下任一条件的电影文档:
按
genres
字段过滤,查找不属于crime
类型的电影。按
year
字段进行过滤可查找在2015
年或之前上映的电影,按genres
字段进行过滤可查找属于action
类型的电影。
1 package main 2 3 import ( 4 "context" 5 "fmt" 6 "log" 7 8 "go.mongodb.org/mongo-driver/bson" 9 "go.mongodb.org/mongo-driver/mongo" 10 "go.mongodb.org/mongo-driver/mongo/options" 11 ) 12 13 func main() { 14 ctx := context.Background() 15 16 // Replace the placeholder with your Atlas connection string 17 const uri = "<connection-string>" 18 19 // Connect to your Atlas cluster 20 clientOptions := options.Client().ApplyURI(uri) 21 client, err := mongo.Connect(ctx, clientOptions) 22 if err != nil { 23 log.Fatalf("failed to connect to the server: %v", err) 24 } 25 defer func() { _ = client.Disconnect(ctx) }() 26 27 // Set the namespace 28 coll := client.Database("sample_mflix").Collection("embedded_movies") 29 30 queryVector := [2048]float64{ 31 -0.025189938, 0.014741838, -0.013024342, -0.0197512, 0.011235285, 0.004651551, 0.043509893, 0.003112961, 0.013310592, -0.033348043, 0.037212405, -0.021039322, -0.026048684, 0.012809656, 0.029483676, 0.003578116, -0.044654887, 0.032632418, 0.014312465, -0.058967352, 0.025333062, -0.055246111, 0.02189807, -0.017604331, -0.002880384, 0.045227386, 0.004794675, 0.017604331, 0.023186192, -0.054673612, -0.011306847, -0.012523406, -0.012380281, 0.002540462, 0.015958399, -0.042364895, -0.001467028, -0.020180576, -0.058108605, -0.035065539, 0.010090288, -0.033348043, 0.058394853, -0.013883091, 0.002048471, -0.020753073, -0.029769925, 0.031916797, -0.014741838, -0.040933646, -0.004096943, 0.020753073, -0.002540462, 0.028052431, -0.02404494, 0.006547953, -0.003578116, 0.003757022, 0.019178702, -0.037784904, -0.02833868, 0.01753277, 0.029769925, 0.017747456, -0.031344298, 0.022899942, 0.006333265, 0.010376536, -0.024474313, -0.012094032, -0.004651551, 0.007764512, 0.017962143, 0.013811528, 0.037212405, -0.03148742, 0.000666424, 0.024474313, -0.021325571, 0.041219898, 0.011235285, 0.046658635, 0.019035578, 0.020753073, 0.010662786, -0.001726441, -0.012738093, -0.027193682, -0.014598713, -0.013167467, 0.013596841, 0.001932183, -0.010304974, -0.007478263, 0.005689205, 0.002987727, 0.005724986, 0.002325775, 0.002415228, -0.003828584, -0.029340552, -0.017318081, -0.070417322, 0.003810694, -0.013453716, -0.001628043, -0.027909305, 0.014026215, 0.009589351, 0.004902019, 0.028768053, -0.005259831, -0.010448099, 0.025189938, 0.038357403, 0.048662379, 0.039788652, 0.010448099, 0.001574371, 0.020323699, 0.005510299, 0.026907433, 0.043223642, -0.001153942, -0.010233412, 0.048376128, -0.056104861, 0.006691077, 0.015672149, -0.015028087, 0.036210533, -0.009231539, 0.010519661, 0.022899942, 0.025762435, -0.009052633, -0.0301993, 0.032203045, -0.00522405, 0.029626802, -0.02433119, -0.025619311, 0.016674021, 0.02404494, -0.009589351, -0.026334934, -0.04436864, -0.014455589, 0.02619181, 0.017604331, 0.02189807, -0.007728731, -0.021611821, -0.03363429, 0.008480135, -0.027479932, 0.025046812, -0.006047016, 0.020753073, 0.01016185, -0.034063663, 0.029483676, -0.019035578, 0.041506145, 0.013453716, -0.009159978, 0.007549825, 0.025189938, 0.005152487, -0.009446226, -0.009016853, 0.021325571, 0.030771798, -0.046944883, 0.001314958, 0.021182448, 0.047231134, -0.007048889, -0.030771798, -0.025905561, -0.000612752, -0.023186192, 0.011378409, 0.035065539, 0.007979199, 0.023901815, -0.004973582, 0.005188268, -0.046944883, 0.009374664, 0.047231134, 0.058967352, 0.043509893, 0.011449971, 0.017174957, -0.024188064, -0.025476186, -0.02833868, 0.033061791, 0.015314337, -0.018749328, 0.013382155, 0.007048889, 0.005975454, 0.005295612, -0.013310592, -0.022756819, -0.012523406, -0.03363429, -0.014527151, 0.011449971, 0.01202247, 0.044941138, -0.012594969, 0.002862493, 0.000572499, 0.030628674, -0.0098756, 0.020466823, 0.059539851, -0.00370335, 0.007335138, 0.023901815, 0.023758691, -0.005903892, 0.003918037, 0.013310592, 0.010090288, -0.012809656, -0.010376536, -0.01109216, -0.008086543, 0.012809656, -0.019894326, 0.012738093, 0.056391109, 0.029340552, -0.04436864, -0.001619098, 0.042364895, -0.027623056, 0.011593096, -0.031916797, -0.0301993, 0.032203045, -0.003757022, 0.017174957, 0.033491168, 0.003900147, 0.002325775, 0.006726858, 0.020180576, 0.017389644, 0.009088415, 0.018319955, -0.003631788, 0.00586811, -0.006691077, -0.014240902, -0.009052633, 0.031630546, 0.04436864, -0.022899942, -0.003327648, -0.006691077, 0.013310592, -0.035924286, -0.008158104, -0.005116706, -0.040647399, 0.002397338, 0.014455589, -0.030342424, 0.028624929, -0.031773672, 0.043509893, -0.001833785, -0.025619311, 0.032775544, -0.046944883, 0.013739966, -0.030485548, 0.018319955, 0.016745584, -0.020323699, -0.015815273, -0.020896198, -0.015171212, 0.026334934, 0.035638034, 0.008873728, 0.003291867, -0.02647806, 0.003649678, 0.003613897, 0.009804038, -0.013525278, 0.005367174, 0.007657168, -0.017103394, -0.015815273, -0.000398065, 0.013310592, 0.014240902, 0.003935928, 0.001735386, -0.018606203, 0.008265448, -0.068127327, 0.012165595, -0.007836075, 0.02189807, -0.000983982, 0.019178702, -0.009589351, -0.013739966, -0.007800293, 0.040361151, 0.027623056, -0.002540462, -0.03663991, 0.011163722, -0.016316209, -0.006333265, -0.010877473, -0.023329318, -0.021468697, 0.013596841, 0.032059919, 0.007442481, 0.02433119, -0.003613897, -0.013596841, 0.010448099, 0.010877473, -0.0098756, 0.033920541, -0.006691077, -0.039502401, -0.010877473, -0.016960271, 0.014097777, -0.008122323, 0.007478263, 0.010018725, -0.030485548, -0.011020597, 0.000317558, 0.00461577, 0.020466823, 0.070703574, -0.024617439, 0.002111088, -0.024617439, -0.004204286, -0.048662379, -0.006834202, 0.027766181, -0.002504681, 0.025189938, 0.033920541, -0.02833868, -0.000773768, -0.03578116, 0.015958399, 0.006369046, 0.033204917, -0.006762639, 0.02003745, -0.020180576, 0.015886836, -0.015385899, -0.029340552, -0.009446226, 0.015529023, -0.010376536, -0.012881218, -0.000715623, 0.014312465, -0.029197427, -0.000684315, 0.000360048, 0.015815273, -0.027050557, 0.006655296, 0.018892452, -0.021182448, 0.031201173, 0.014240902, -0.022756819, 0.004365302, -0.020609949, 0.008515916, -0.016244646, 0.001162888, 0.000084421, 0.003273976, -0.017819017, 0.000576971, 0.020753073, -0.004794675, 0.018105267, -0.013095905, -0.028052431, 0.004114834, 0.02833868, -0.027193682, -0.010877473, -0.002576244, 0.011879345, -0.017819017, 0.006726858, -0.021754947, -0.031773672, -0.013382155, 0.024903689, 0.013167467, 0.000033964, 0.034063663, 0.022613693, -0.038357403, -0.010018725, -0.017174957, -0.004418973, 0.02189807, -0.003166633, -0.009589351, 0.009303101, -0.036496785, -0.005760767, -0.006583733, -0.003596007, 0.014026215, -0.003828584, -0.02833868, -0.020896198, 0.001449137, 0.039502401, 0.012881218, 0.025476186, 0.000961619, -0.025762435, 0.002808821, 0.034922414, 0.004687332, -0.046658635, 0.030914923, -0.036067411, 0.008659041, -0.004025381, -0.0301993, -0.026048684, 0.024760563, 0.036496785, -0.029913051, 0.015672149, 0.007764512, 0.01509965, 0.010304974, -0.004490536, -0.007585606, -0.019464951, 0.016602458, -0.007048889, -0.005510299, 0.011163722, 0.013739966, -0.034636162, 0.020609949, -0.004418973, 0.034636162, 0.040933646, 0.031773672, 0.023758691, 0.031344298, -0.006798421, 0.026048684, -0.011521534, 0.020753073, 0.014384027, 0.026334934, -0.034206789, -0.036067411, 0.014598713, 0.023758691, -0.039216153, 0.003363429, 0.002880384, -0.006726858, -0.000916892, -0.001395465, -0.009660914, 0.032059919, 0.008086543, 0.029054303, -0.011593096, 0.065551087, 0.031058047, -0.041219898, -0.014097777, -0.017103394, 0.016244646, -0.028911177, 0.044654887, -0.030771798, 0.024760563, 0.02833868, 0.018248392, 0.026907433, -0.002227377, 0.034063663, 0.000167724, 0.021039322, -0.018892452, 0.012738093, -0.001395465, 0.005760767, -0.024760563, -0.002683587, 0.000230341, -0.0197512, 0.009088415, -0.00400749, -0.026764309, -0.012881218, 0.016101522, -0.009303101, 0.015529023, -0.016817145, 0.014312465, -0.030914923, -0.018463079, 0.020323699, -0.023472441, -0.023758691, -0.005009362, 0.018176829, 0.012738093, 0.009374664, -0.031916797, 0.016387772, 0.027479932, 0.015529023, -0.021325571, 0.020323699, -0.025476186, 0.008515916, -0.039788652, -0.007979199, -0.009947163, -0.006869983, 0.004758894, 0.022613693, -0.013668403, -0.015171212, 0.035351787, -0.022327444, 0.019178702, 0.000404774, -0.003524444, -0.012094032, 0.023901815, -0.0400749, -0.004579989, 0.00245101, 0.013024342, 0.015958399, 0.009517789, 0.034779288, 0.021468697, 0.00062617, 0.007728731, -0.028195554, 0.0301993, -0.002504681, 0.008909509, 0.004651551, -0.007013108, 0.03148742, 0.019608077, 0.002540462, 0.043509893, -0.006190141, 0.024903689, 0.010519661, 0.018319955, 0.010519661, 0.009660914, 0.000966091, -0.004454754, 0.000299667, 0.007907636, -0.018463079, 0.004758894, -0.001851675, -0.002415228, 0.010233412, -0.024617439, -0.030771798, 0.018749328, 0.003023508, 0.005474518, -0.011521534, -0.008551697, 0.007979199, 0.03363429, 0.000275068, 0.007800293, 0.0039896, 0.00522405, -0.035924286, -0.01416934, 0.02619181, 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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 }
将 <connection-string>
替换为您的 Atlas 连接字符串,然后保存文件。
确保您的连接字符串包含数据库用户的档案。要了解详情,请参阅通过驱动程序连接。
编译并运行 AtlasVectorSearchTutorial.go
文件。
go run AtlasVectorSearchTutorial.go
1 Title: 3 Ninjas: High Noon at Mega Mountain 2 Plot: Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ... 3 Genres: [Action Adventure Comedy] 4 Year: 1998 5 Score: 0.7746343612670898 6 7 Title: White Wolves: A Cry in the Wild II 8 Plot: A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new... 9 Genres: [Action Adventure Family] 10 Year: 1993 11 Score: 0.770106315612793 12 13 Title: Space Raiders 14 Plot: A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates. 15 Genres: [Action Adventure Sci-Fi] 16 Year: 1983 17 Score: 0.7569591999053955 18 19 Title: The Ewok Adventure 20 Plot: Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents. 21 Genres: [Adventure Family Fantasy] 22 Year: 1984 23 Score: 0.7515435218811035 24 25 Title: Time Bandits 26 Plot: A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal. 27 Genres: [Adventure Comedy Fantasy] 28 Year: 1981 29 Score: 0.7513599395751953 30 31 Title: Chitty Chitty Bang Bang 32 Plot: A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land. 33 Genres: [Adventure Family Fantasy] 34 Year: 1968 35 Score: 0.7492260932922363 36 37 Title: Forest Warrior 38 Plot: A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks. 39 Genres: [Action Adventure Comedy] 40 Year: 1996 41 Score: 0.7473714351654053 42 43 Title: Forest Warrior 44 Plot: A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks. 45 Genres: [Action Adventure Comedy] 46 Year: 1996 47 Score: 0.7473714351654053 48 49 Title: Warriors of Virtue 50 Plot: A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors. 51 Genres: [Action Fantasy Adventure] 52 Year: 1997 53 Score: 0.7464213371276855 54 55 Title: Taxandria 56 Plot: A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see... 57 Genres: [Animation Adventure Fantasy] 58 Year: 1994 59 Score: 0.7453246116638184
go run AtlasVectorSearchTutorial.go
1 Title: Star Wars: Episode IV - A New Hope 2 Plot: Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader. 3 Genres: [Action Adventure Fantasy] 4 Year: 1977 5 Score: 0.79868483543396 6 7 Title: Dune 8 Plot: A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule. 9 Genres: [Action Adventure Sci-Fi] 10 Year: 1984 11 Score: 0.7949700355529785 12 13 Title: Message from Space 14 Plot: In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ... 15 Genres: [Action Adventure Sci-Fi] 16 Year: 1978 17 Score: 0.7913978099822998 18 19 Title: Message from Space 20 Plot: In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ... 21 Genres: [Action Adventure Sci-Fi] 22 Year: 1978 23 Score: 0.7913978099822998 24 25 Title: Star Wars: Episode V - The Empire Strikes Back 26 Plot: After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke. 27 Genres: [Action Adventure Fantasy] 28 Year: 1980 29 Score: 0.7809884548187256 30 31 Title: Star Wars: Episode VI - Return of the Jedi 32 Plot: After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force. 33 Genres: [Action Adventure Fantasy] 34 Year: 1983 35 Score: 0.7784996032714844 36 37 Title: Star Wars: Episode I - The Phantom Menace 38 Plot: Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory. 39 Genres: [Action Adventure Fantasy] 40 Year: 1999 41 Score: 0.7766742706298828 42 43 Title: Ewoks: The Battle for Endor 44 Plot: The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ... 45 Genres: [Adventure Family Fantasy] 46 Year: 1985 47 Score: 0.7676119804382324 48 49 Title: Krull 50 Plot: A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet. 51 Genres: [Action Adventure Fantasy] 52 Year: 1983 53 Score: 0.7624373435974121 54 55 Title: Starcrash 56 Plot: An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn. 57 Genres: [Action Adventure Fantasy] 58 Year: 1978 59 Score: 0.7582714557647705
将想要尝试的预过滤运算符的代码复制并粘贴到 AtlasVectorSearchTutorial.java
文件中。
以下查询使用 $vectorSearch
管道阶段搜索与指定向量嵌入匹配的电影。这些查询指定最多搜索 100
个最近邻,并将结果限制为仅 10
个文档。这些查询还指定了一个 $project
阶段以执行以下操作:
在结果中排除
_id
字段,而仅包含title
、genres
、plot
和year
字段。添加一个名为
score
的字段,以显示结果中的每个文档的向量搜索分数。
以下查询使用向量嵌入在 plot_embedding_voyage_3_large
字段中搜索字符串 kids adventure。它为每个字段指定多个比较查询操作符,以对要执行语义搜索的文档进行预过滤。
该过滤器使用 $and
聚合管道操作符查找符合以下两个条件的电影文档:
按
genres
字段过滤,以查找不属于drama
、western
或crime
类型但属于action
、adventure
或family
类型的电影。按
year
字段过滤,以查找在1960
和2000
年份(含这两个年份)之间发行的电影。
1 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 }
以下查询使用向量嵌入在 plot_embedding_voyage_3_large
字段中搜索字符串 star wars。它指定了若干个聚合管道和比较查询操作符来演示如何组合使用操作符来过滤数据。
该过滤器使用 $or
聚合管道操作符来查找符合以下任一条件的电影文档:
按
genres
字段过滤,查找不属于crime
类型的电影。按
year
字段进行过滤可查找在2015
年或之前上映的电影,按genres
字段进行过滤可查找属于action
类型的电影。
1 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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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 }
将 <connection-string>
替换为您的 Atlas 连接字符串,然后保存文件。
确保您的连接字符串包含数据库用户的档案。要了解详情,请参阅通过驱动程序连接。
编译并运行 AtlasVectorSearchTutorial.java
文件。
javac AtlasVectorSearchTutorial.java java AtlasVectorSearchTutorial
1 { 2 "plot": 'Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...', 3 "genres": [ 'Action', 'Adventure', 'Comedy' ], 4 "title": '3 Ninjas: High Noon at Mega Mountain', 5 "year": 1998, 6 "score": 0.7746343612670898 7 }, 8 { 9 "plot": "A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...", 10 "genres": [ 'Action', 'Adventure', 'Family' ], 11 "title": 'White Wolves: A Cry in the Wild II', 12 "year": 1993, 13 "score": 0.770106315612793 14 }, 15 { 16 "plot": 'A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.', 17 "genres": [ 'Action', 'Adventure', 'Sci-Fi' ], 18 "title": 'Space Raiders', 19 "year": 1983, 20 "score": 0.7569591999053955 21 }, 22 { 23 "plot": 'Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.', 24 "genres": [ 'Adventure', 'Family', 'Fantasy' ], 25 "title": 'The Ewok Adventure', 26 "year": 1984, 27 "score": 0.7515435218811035 28 }, 29 { 30 "plot": 'A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.', 31 "genres": [ 'Adventure', 'Comedy', 'Fantasy' ], 32 "title": 'Time Bandits', 33 "year": 1981, 34 "score": 0.7513599395751953 35 }, 36 { 37 "plot": 'A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.', 38 "genres": [ 'Adventure', 'Family', 'Fantasy' ], 39 "title": 'Chitty Chitty Bang Bang', 40 "year": 1968, 41 "score": 0.7492260932922363 42 }, 43 { 44 "plot": 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.', 45 "genres": [ 'Action', 'Adventure', 'Comedy' ], 46 "title": 'Forest Warrior', 47 "year": 1996, 48 "score": 0.7473714351654053 49 }, 50 { 51 "plot": 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.', 52 "genres": [ 'Action', 'Adventure', 'Comedy' ], 53 "title": 'Forest Warrior', 54 "year": 1996, 55 "score": 0.7473714351654053 56 }, 57 { 58 "plot": 'A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.', 59 "genres": [ 'Action', 'Fantasy', 'Adventure' ], 60 "title": 'Warriors of Virtue', 61 "year": 1997, 62 "score": 0.7464213371276855 63 }, 64 { 65 "plot": 'A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...', 66 "genres": [ 'Animation', 'Adventure', 'Fantasy' ], 67 "title": 'Taxandria', 68 "year": 1994, 69 "score": 0.7453246116638184 70 }
javac AtlasVectorSearchTutorial.java java AtlasVectorSearchTutorial
1 { 2 "plot": "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.", 3 "genres": [ 'Action', 'Adventure', 'Fantasy' ], 4 "title": 'Star Wars: Episode IV - A New Hope', 5 "released": ISODate('1977-05-25T00:00:00.000Z'), 6 "score": 0.79868483543396 7 }, 8 { 9 "plot": "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.", 10 "genres": [ 'Action', 'Adventure', 'Sci-Fi' ], 11 "title": 'Dune', 12 "released": ISODate('1984-12-14T00:00:00.000Z'), 13 "score": 0.7949700355529785 14 }, 15 { 16 "plot": 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...', 17 "genres": [ 'Action', 'Adventure', 'Sci-Fi' ], 18 "title": 'Message from Space', 19 "released": ISODate('1978-10-30T00:00:00.000Z'), 20 "score": 0.7913978099822998 21 }, 22 { 23 "plot": 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...', 24 "genres": [ 'Action', 'Adventure', 'Sci-Fi' ], 25 "title": 'Message from Space', 26 "released": ISODate('1978-10-30T00:00:00.000Z'), 27 "score": 0.7913978099822998 28 }, 29 { 30 "plot": 'After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.', 31 "genres": [ 'Action', 'Adventure', 'Fantasy' ], 32 "title": 'Star Wars: Episode V - The Empire Strikes Back', 33 "released": ISODate('1980-06-20T00:00:00.000Z'), 34 "score": 0.7809884548187256 35 }, 36 { 37 "plot": 'After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.', 38 "genres": [ 'Action', 'Adventure', 'Fantasy' ], 39 "title": 'Star Wars: Episode VI - Return of the Jedi', 40 "released": ISODate('1983-05-25T00:00:00.000Z'), 41 "score": 0.7784996032714844 42 }, 43 { 44 "plot": 'Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.', 45 "genres": [ 'Action', 'Adventure', 'Fantasy' ], 46 "title": 'Star Wars: Episode I - The Phantom Menace', 47 "released": ISODate('1999-05-19T00:00:00.000Z'), 48 "score": 0.7766742706298828 49 }, 50 { 51 "plot": 'The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...', 52 "genres": [ 'Adventure', 'Family', 'Fantasy' ], 53 "title": 'Ewoks: The Battle for Endor', 54 "released": ISODate('1985-11-24T00:00:00.000Z'), 55 "score": 0.7676119804382324 56 }, 57 { 58 "plot": 'A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.', 59 "genres": [ 'Action', 'Adventure', 'Fantasy' ], 60 "title": 'Krull', 61 "released": ISODate('1983-07-29T00:00:00.000Z'), 62 "score": 0.7624373435974121 63 }, 64 { 65 "plot": 'An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.', 66 "genres": [ 'Action', 'Adventure', 'Fantasy' ], 67 "title": 'Starcrash', 68 "released": ISODate('1979-03-09T00:00:00.000Z'), 69 "score": 0.7582714557647705 70 }
复制您要尝试的预过滤运算符的示例查询,并将其粘贴到 atlas-vector-search-tutorial.js
文件中。
以下查询使用 $vectorSearch
管道阶段搜索与指定向量嵌入匹配的电影。这些查询指定最多搜索 100
个最近邻,并将结果限制为仅 10
个文档。这些查询还指定了一个 $project
阶段以执行以下操作:
在结果中排除
_id
字段,而仅包含title
、genres
、plot
和year
字段。添加一个名为
score
的字段,以显示结果中的每个文档的向量搜索分数。
以下查询使用向量嵌入在 plot_embedding_voyage_3_large
字段中搜索字符串 kids adventure。它为每个字段指定多个比较查询操作符,以对要执行语义搜索的文档进行预过滤。
该过滤器使用 $and
聚合管道操作符查找符合以下两个条件的电影文档:
按
genres
字段过滤,以查找不属于drama
、western
或crime
类型但属于action
、adventure
或family
类型的电影。按
year
字段过滤,以查找在1960
和2000
年份(含这两个年份)之间发行的电影。
1 const { MongoClient } = require("mongodb"); 2 3 // connect to your Atlas cluster 4 const uri = "<connection-string>"; 5 6 const client = new MongoClient(uri); 7 8 async function run() { 9 try { 10 await client.connect(); 11 12 // set namespace 13 const database = client.db("sample_mflix"); 14 const coll = database.collection("embedded_movies"); 15 16 // define pipeline 17 const agg = [ 18 { 19 '$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);
以下查询使用向量嵌入在 plot_embedding_voyage_3_large
字段中搜索字符串 star wars。它指定了若干个聚合管道和比较查询操作符来演示如何组合使用操作符来过滤数据。
该过滤器使用 $or
聚合管道操作符来查找符合以下任一条件的电影文档:
按
genres
字段过滤,查找不属于crime
类型的电影。按
year
字段进行过滤可查找在2015
年或之前上映的电影,按genres
字段进行过滤可查找属于action
类型的电影。
1 const { MongoClient } = require("mongodb"); 2 3 // connect to your Atlas cluster 4 const uri = "<connection-string>"; 5 6 const client = new MongoClient(uri); 7 8 async function run() { 9 try { 10 await client.connect(); 11 12 // set namespace 13 const database = client.db("sample_mflix"); 14 const coll = database.collection("embedded_movies"); 15 16 // define pipeline 17 const agg = [ 18 { 19 '$vectorSearch': { 20 'index': 'vector_index', 21 'path': 'plot_embedding_voyage_3_large', 22 'filter': { 23 '$or': [ 24 { 25 'genres': { 26 '$ne': 'Crime' 27 } 28 }, { 29 '$and': [ 30 { 31 'year': { 32 '$lte': 2015 33 } 34 }, { 35 'genres': { 36 '$eq': 'Action' 37 } 38 } 39 ] 40 } 41 ] 42 }, 43 'queryVector': 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7962143,-0.043223642,0.033920541,-0.007764512,-0.006762639,0.017819017,-0.026621183,0.046658635,-0.004490536,0.024188064,-0.010304974,0.004651551,0.047231134,-0.038071156,0.009589351,-0.033920541,-0.027050557,0.050093625,0.008515916,-0.025189938,-0.008050761,0.011950907,0.004973582,0.014527151,-0.009374664,-0.003721241,0.019608077,0.049807377,0.016602458,0.02404494], 44 'numCandidates': 200, 45 'limit': 10 46 } 47 }, { 48 '$project': { 49 '_id': 0, 50 'title': 1, 51 'genres': 1, 52 'plot': 1, 53 'released': 1, 54 'score': { 55 '$meta': 'vectorSearchScore' 56 } 57 } 58 } 59 ]; 60 61 // run pipeline 62 const result = coll.aggregate(agg); 63 64 // print results 65 await result.forEach((doc) => console.dir(JSON.stringify(doc))); 66 } finally { 67 await client.close(); 68 } 69 } 70 run().catch(console.dir);
替换查询中的 <connection-string>
,然后保存该文件。
确保您的连接字符串包含数据库用户的档案。要了解详情,请参阅通过驱动程序连接。
查询您的集合。
运行以下命令来查询您的集合:
node atlas-vector-search-tutorial.js
'{"plot":"Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...","genres":["Action","Adventure","Comedy"],"title":"3 Ninjas: High Noon at Mega Mountain","year":1998,"score":0.7746343612670898}' `{"plot":"A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...","genres":["Action","Adventure","Family"],"title":"White Wolves: A Cry in the Wild II","year":1993,"score":0.770106315612793}` '{"plot":"A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.","genres":["Action","Adventure","Sci-Fi"],"title":"Space Raiders","year":1983,"score":0.7569591999053955}' '{"plot":"Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.","genres":["Adventure","Family","Fantasy"],"title":"The Ewok Adventure","year":1984,"score":0.7515435218811035}' '{"plot":"A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.","genres":["Adventure","Comedy","Fantasy"],"title":"Time Bandits","year":1981,"score":0.7513599395751953}' '{"plot":"A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.","genres":["Adventure","Family","Fantasy"],"title":"Chitty Chitty Bang Bang","year":1968,"score":0.7492260932922363}' '{"plot":"A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.","genres":["Action","Adventure","Comedy"],"title":"Forest Warrior","year":1996,"score":0.7473714351654053}' '{"plot":"A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.","genres":["Action","Adventure","Comedy"],"title":"Forest Warrior","year":1996,"score":0.7473714351654053}' '{"plot":"A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.","genres":["Action","Fantasy","Adventure"],"title":"Warriors of Virtue","year":1997,"score":0.7464213371276855}' '{"plot":"A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...","genres":["Animation","Adventure","Fantasy"],"title":"Taxandria","year":1994,"score":0.7453246116638184}'
node atlas-search-tutorial.js
`{"plot":"Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.","genres":["Action","Adventure","Fantasy"],"title":"Star Wars: Episode IV - A New Hope","released":"1977-05-25T00:00:00.000Z","score":0.79868483543396}` `{"plot":"A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.","genres":["Action","Adventure","Sci-Fi"],"title":"Dune","released":"1984-12-14T00:00:00.000Z","score":0.7949700355529785}` '{"plot":"In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...","genres":["Action","Adventure","Sci-Fi"],"title":"Message from Space","released":"1978-10-30T00:00:00.000Z","score":0.7913978099822998}' '{"plot":"In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...","genres":["Action","Adventure","Sci-Fi"],"title":"Message from Space","released":"1978-10-30T00:00:00.000Z","score":0.7913978099822998}' '{"plot":"After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.","genres":["Action","Adventure","Fantasy"],"title":"Star Wars: Episode V - The Empire Strikes Back","released":"1980-06-20T00:00:00.000Z","score":0.7809884548187256}' '{"plot":"After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.","genres":["Action","Adventure","Fantasy"],"title":"Star Wars: Episode VI - Return of the Jedi","released":"1983-05-25T00:00:00.000Z","score":0.7784996032714844}' '{"plot":"Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.","genres":["Action","Adventure","Fantasy"],"title":"Star Wars: Episode I - The Phantom Menace","released":"1999-05-19T00:00:00.000Z","score":0.7766742706298828}' '{"plot":"The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...","genres":["Adventure","Family","Fantasy"],"title":"Ewoks: The Battle for Endor","released":"1985-11-24T00:00:00.000Z","score":0.7676119804382324}' '{"plot":"A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.","genres":["Action","Adventure","Fantasy"],"title":"Krull","released":"1983-07-29T00:00:00.000Z","score":0.7624373435974121}' '{"plot":"An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.","genres":["Action","Adventure","Fantasy"],"title":"Starcrash","released":"1979-03-09T00:00:00.000Z","score":0.7582714557647705}'
将想要尝试的预过滤运算符的查询复制并粘贴到 atlas-vector-search-tutorial.py
文件中。
以下查询使用 $vectorSearch
管道阶段搜索与指定向量嵌入匹配的电影。这些查询指定最多搜索 100
个最近邻,并将结果限制为仅 10
个文档。这些查询还指定了一个 $project
阶段以执行以下操作:
在结果中排除
_id
字段,而仅包含title
、genres
、plot
和year
字段。添加一个名为
score
的字段,以显示结果中的每个文档的向量搜索分数。
以下查询使用向量嵌入在 plot_embedding_voyage_3_large
字段中搜索字符串 kids adventure。它为每个字段指定多个比较查询操作符,以对要执行语义搜索的文档进行预过滤。
该过滤器使用 $and
聚合管道操作符查找符合以下两个条件的电影文档:
按
genres
字段过滤,以查找不属于drama
、western
或crime
类型但属于action
、adventure
或family
类型的电影。按
year
字段过滤,以查找在1960
和2000
年份(含这两个年份)之间发行的电影。
1 import pymongo 2 3 # connect to your Atlas cluster 4 client = pymongo.MongoClient("<connection-string>") 5 6 # define pipeline 7 pipeline = [ 8 { 9 '$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)
以下查询使用向量嵌入在 plot_embedding_voyage_3_large
字段中搜索字符串 star wars。它指定了若干个聚合管道和比较查询操作符来演示如何组合使用操作符来过滤数据。
该过滤器使用 $or
聚合管道操作符来查找符合以下任一条件的电影文档:
按
genres
字段过滤,查找不属于crime
类型的电影。按
year
字段进行过滤可查找在2015
年或之前上映的电影,按genres
字段进行过滤可查找属于action
类型的电影。
1 import pymongo 2 3 # connect to your Atlas cluster 4 client = pymongo.MongoClient("<connection-string>") 5 6 # define pipeline 7 pipeline = [ 8 { 9 '$vectorSearch': { 10 'index': 'vector_index', 11 'path': 'plot_embedding_voyage_3_large', 12 'filter': { 13 '$or': [ 14 { 15 'genres': { 16 '$ne': 'Crime' 17 } 18 }, { 19 '$and': [ 20 { 21 'year': { 22 '$lte': 2015 23 } 24 }, { 25 'genres': { 26 '$eq': 'Action' 27 } 28 } 29 ] 30 } 31 ] 32 }, 33 'queryVector': 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34 'numCandidates': 200, 35 'limit': 10 36 } 37 }, { 38 '$project': { 39 '_id': 0, 40 'title': 1, 41 'genres': 1, 42 'plot': 1, 43 'year': 1, 44 'score': { 45 '$meta': 'vectorSearchScore' 46 } 47 } 48 } 49 ] 50 51 # run pipeline 52 result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline) 53 54 # print results 55 for i in result: 56 print(i)
替换查询中的 <connection-string>
,然后保存该文件。
确保您的连接字符串包含数据库用户的档案。要了解详情,请参阅通过驱动程序连接。
运行命令以查询您的集合。
python atlas-vector-search-tutorial.py
{'plot': 'Three young boys, Rocky, Colt and Tum Tum together with their neighbor girl, computer whiz Amanda are visiting Mega Mountain amusement park when it is invaded by an army of ninjas led by ...', 'genres': ['Action', 'Adventure', 'Comedy'], 'title': '3 Ninjas: High Noon at Mega Mountain', 'year': 1998, 'score': 0.7746343612670898} {'plot': "A two-week trek through the Cascade Mountains tries the survival instincts of five adventurous teenagers. At first, it's all a good time. Shooting the rapids, exploring caves and making new...", 'genres': ['Action', 'Adventure', 'Family'], 'title': 'White Wolves: A Cry in the Wild II', 'year': 1993, 'score': 0.770106315612793} {'plot': 'A futuristic, sensitive tale of adventure and confrontation when a 10 year old boy is accidentally kidnapped by a spaceship filled with a motley crew of space pirates.', 'genres': ['Action', 'Adventure', 'Sci-Fi'], 'title': 'Space Raiders', 'year': 1983, 'score': 0.7569591999053955} {'plot': 'Wicket the Ewok and his friends agree to help two shipwrecked human children on a quest to find their parents.', 'genres': ['Adventure', 'Family', 'Fantasy'], 'title': 'The Ewok Adventure', 'year': 1984, 'score': 0.7515435218811035} {'plot': 'A young boy accidentally joins a band of dwarves as they jump from era to era looking for treasure to steal.', 'genres': ['Adventure', 'Comedy', 'Fantasy'], 'title': 'Time Bandits', 'year': 1981, 'score': 0.7513599395751953} {'plot': 'A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.', 'genres': ['Adventure', 'Family', 'Fantasy'], 'title': 'Chitty Chitty Bang Bang', 'year': 1968, 'score': 0.7492260932922363} {'plot': 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.', 'genres': ['Action', 'Adventure', 'Comedy'], 'title': 'Forest Warrior', 'year': 1996, 'score': 0.7473714351654053} {'plot': 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.', 'genres': ['Action', 'Adventure', 'Comedy'], 'title': 'Forest Warrior', 'year': 1996, 'score': 0.7473714351654053} {'plot': 'A young boy is whisked away to the mythical land of Tao where he becomes the center of a conflict between an evil lord and a group of animal warriors.', 'genres': ['Action', 'Fantasy', 'Adventure'], 'title': 'Warriors of Virtue', 'year': 1997, 'score': 0.7464213371276855} {'plot': 'A young prince is taken for tuition at a seaside hotel but there quickly bores and wanders off to visit a nearby lighthouse. Befriended by the keeper, he learns of a secret world he can see...', 'genres': ['Animation', 'Adventure', 'Fantasy'], 'title': 'Taxandria', 'year': 1994, 'score': 0.7453246116638184}
python atlas-vector-search-tutorial.py
{'year': 1977, 'plot': "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.", 'genres': ['Action', 'Adventure', 'Fantasy'], 'title': 'Star Wars: Episode IV - A New Hope', 'score': 0.79868483543396} {'plot': "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.", 'genres': ['Action', 'Adventure', 'Sci-Fi'], 'title': 'Dune', 'year': 1984, 'score': 0.7949700355529785} {'plot': 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...', 'genres': ['Action', 'Adventure', 'Sci-Fi'], 'title': 'Message from Space', 'year': 1978, 'score': 0.7913978099822998} {'plot': 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...', 'genres': ['Action', 'Adventure', 'Sci-Fi'], 'title': 'Message from Space', 'year': 1978, 'score': 0.7913978099822998} {'year': 1980, 'plot': 'After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.', 'genres': ['Action', 'Adventure', 'Fantasy'], 'title': 'Star Wars: Episode V - The Empire Strikes Back', 'score': 0.7809884548187256} {'plot': 'After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.', 'genres': ['Action', 'Adventure', 'Fantasy'], 'title': 'Star Wars: Episode VI - Return of the Jedi', 'year': 1983, 'score': 0.7784996032714844} {'plot': 'Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.', 'genres': ['Action', 'Adventure', 'Fantasy'], 'title': 'Star Wars: Episode I - The Phantom Menace', 'year': 1999, 'score': 0.7766742706298828} {'plot': 'The army of the Marauders, led by by King Terak and the witch Charal attack the Ewoks village. The parents and the brother of Cindel all die in this attack. Cindel and the Ewok Wicket ...', 'genres': ['Adventure', 'Family', 'Fantasy'], 'title': 'Ewoks: The Battle for Endor', 'year': 1985, 'score': 0.7676119804382324} {'plot': 'A prince and a fellowship of companions set out to rescue his bride from a fortress of alien invaders who have arrived on their home planet.', 'genres': ['Action', 'Adventure', 'Fantasy'], 'title': 'Krull', 'year': 1983, 'score': 0.7624373435974121} {'plot': 'An outlaw smuggler and her alien companion are recruited by the Emperor of the Galaxy to rescue his son and destroy a secret weapon by the evil Count Zarth Arn.', 'genres': ['Action', 'Adventure', 'Fantasy'], 'title': 'Starcrash', 'year': 1978, 'score': 0.7582714557647705}