如何对 Atlas 集群中的数据执行语义搜索

在此页面上

先决条件

创建 Atlas Vector Search 索引
必需的访问权限
步骤
使用 $vectorSearch聚合管道阶段运行查询
Overview
步骤

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_embeddingssample_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_embeddings 的数字字段创建 Atlas Vector Search 索引。
针对 sample_mflix.embedded_movies 集合中的 plot_embeddings 字段运行 Atlas Vector Search 查询。

先决条件

如要完成本教程，您必须具备以下条件：

运行 MongoDB 版本 6.0.11、v7.0.2 或更高版本（包括RC ）的 Atlas 集群。
将样本数据加载到 Atlas 集群。
注意
将示例数据中的嵌入转换为BSON向量，以便在Atlas中高效存储和提取向量。要学习；了解更多信息，请参阅如何将原原生嵌入转换为BSON向量。
用于在 Atlas 集群上运行查询的以下应用程序之一：
您还可以将 Atlas Vector Search 与通过 Atlas CLI 创建的本地 Atlas 部署结合使用。要了解详情，请参阅创建本地 Atlas 部署。

创建 Atlas Vector Search 索引

本部分演示如何在sample_mflix.embedded_moviescollection中的plot_embeddings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，您必须对项目具有Project Data Access Admin或更高访问权限。

步骤

在 AtlasClusters 中，转到项目的页面。

如果尚未显示，请选择包含所需项目的组织导航栏中的Organizations菜单。
如果尚未显示，请从导航栏的Projects菜单中选择所需的项目。
如果 Clusters（数据库部署）页面尚未出现，请单击侧边栏中的 Database（数据库）。
此时会显示“集群”页面。

转到集群的 Atlas Search 页面。

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

在侧边栏中，单击Services标题下的Atlas Search 。
从Select data source下拉列表中，选择您的集群并单击Go to Atlas Search 。
显示Atlas Search页面。

单击集群的对应 Browse Collections 按钮。
展开数据库并选择集合。
单击集合的Search Indexes标签页。
显示Atlas Search页面。

单击集群名称。
单击 Atlas Search 标签页。
显示Atlas Search页面。

定义 Atlas Vector Search 索引。

单击 Create Search Index（连接）。
在Atlas Vector Search下，选择JSON Editor ，然后单击Next 。
在 Database and Collection（数据库和集合）部分中找到 sample_mflix 数据库，然后选择 embedded_movies 集合。
在 Index Name 字段中输入 vector-search-tutorial。
将默认定义替换为以下索引定义，然后单击 Next。

定义 Atlas Vector Search 索引。

将默认定义替换为以下索引定义。

此索引定义指定在vectorSearch类型的索引中对以下字段建立索引：

plot_embedding 字段作为向量类型。 plot_embedding字段包含使用 OpenAI 的text-embedding-ada-002嵌入模型创建的嵌入。索引定义指定了1536向量维度，并使用euclidean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。

1 {
2   "fields": [
3     {
4       "type": "vector",
5       "path": "plot_embedding",
6       "numDimensions": 1536,
7       "similarity": "euclidean"
8     },
9     {
10       "type": "filter",
11       "path": "genres"
12     },
13     {
14       "type": "filter",
15       "path": "year"
16     }
17   ]
18 }

查看索引定义，然后单击Create Search Index 。

此时将显示一个模态窗口，让您知道索引正在构建中。

Close单击关闭You're All Set! 模式窗口，并等待索引完成构建。

构建索引大约需要一分钟时间。在构建时，Status 列显示 Initial Sync。构建完成后，Status 列显示 Active。

使用`$vectorSearch` 聚合管道阶段运行查询

➤ 使用 Select your language（选择语言）下拉菜单选择要用于运行本节所述示例查询的客户端。

Overview

本部分演示如何使用$vectorSearch阶段查询sample_mflix.embedded_movies集合中的索引向量数据。这些样本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这些操作符来预筛选要执行语义搜索的数据。

步骤

在 AtlasClusters 中，转到项目的页面。

如果尚未显示，请选择包含所需项目的组织导航栏中的Organizations菜单。
如果尚未显示，请从导航栏的Projects菜单中选择所需的项目。
如果 Clusters（数据库部署）页面尚未出现，请单击侧边栏中的 Database（数据库）。
此时会显示“集群”页面。

转到Collections 页面。

单击集群的对应 Browse Collections 按钮。

显示数据浏览器。

转到集合的Aggregation 标签页。

展开数据库列表下的sample_mflix ，然后从该数据库的collection列表中选择embedded_movies 。
单击sample_mflix.embedded_movies集合的Aggregation标签页。

针对索引字段运行 Atlas Vector Search 搜索查询。

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。请注意，这些查询使用 ada-002-text 嵌入，它与 plot_embedding 字段中的向量嵌入相同。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。

单击 </> Text（连接）。

将左窗格中的[ ]替换为对要尝试的预过滤操作符的查询。

以下查询使用向量嵌入在plot_embedding字段中搜索字符串历史 heist 。该查询使用ada-002-text嵌入，与plot_embedding字段中的向量嵌入相同。它为每个字段指定多个比较查询运算符，以对要执行语义搜索的文档进行预过滤。

该筛选器使用$and聚合管道操作符来查找符合以下条件的电影文档：

按genres字段过滤，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字段筛选，查找1960到2000 （含）年份之间发行的电影。

1 [
2   {
3     "$vectorSearch": {
4       "index": "vector-search-tutorial",
5       "path": "plot_embedding",
6       "filter": {
7         "$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       },
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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 year: 1993
2 plot: "A botched mid-air heist results in suitcases full of cash being search…"
3 genres: Array (3)
4 title: "Cliffhanger"
5 score: 0.7694521546363831
6 
7 genres: Array (3)
8 title: "It's a Mad, Mad, Mad, Mad World"
9 year: 1963
10 score: 0.7638954520225525
11 plot: "The dying words of a thief spark a madcap cross-country rush to find s…"
12 
13 score: 0.7538407444953918
14 year: 1991
15 plot: "A cat burglar is forced to steal Da Vinci works of art for a world dom…"
16 genres: Array (3)
17 title: "Hudson Hawk"
18 
19 plot: "In 1997, when the US President crashes into Manhattan, now a giant max…"
20 genres: Array (2)
21 title: "Escape from New York"
22 year: 1981
23 score: 0.7487208843231201
24 
25 title: "The Romanov Stones"
26 year: 1993
27 score: 0.7467736005783081
28 plot: "Patrick and Tony are hired by the wealthy gambler to steal the pricele…"
29 genres: Array (2)
30 
31 plot: "An attempted robbery turns to be an unexpected recruitment when two un…"
32 genres: Array (3)
33 title: "Crime Busters"
34 year: 1977
35 score: 0.7437351942062378
36 
37 plot: "In the aftermath of the Persian Gulf War, 4 soldiers set out to steal …"
38 genres: Array (3)
39 title: "Three Kings"
40 year: 1999
41 score: 0.7425670623779297
42 
43 plot: "A professional thief is hired by the FBI to steal a data tape from a c…"
44 genres: Array (3)
45 title: "Black Moon Rising"
46 year: 1986
47 score: 0.7397696375846863
48 
49 plot: "A group of heavily armed hijackers board a luxury ocean liner in the S…"
50 genres: Array (3)
51 title: "Deep Rising"
52 year: 1998
53 score: 0.7392246127128601
54 
55 year: 1964
56 score: 0.7357995510101318
57 plot: "A young man comes to the rescue of his girlfriend abducted by thieves …"
58 genres: Array (3)
59 title: "That Man from Rio"

以下查询使用向量嵌入在plot_embedding字段中搜索字符串“ martives ”。该查询使用ada-002-text嵌入，与plot_embedding字段中的向量嵌入相同。它指定了聚合管道和比较查询操作符，以演示如何组合使用这些操作符来筛选数据。

该筛选器使用$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字段筛选可查找2015年或之前发行的电影，按genres字段筛选可查找action类型的电影。

1 [
2   {
3     "$vectorSearch": {
4       "index": "vector-search-tutorial",
5       "path": "plot_embedding",
6       "filter": {
7         "$or": [{
8           "genres": { "$ne": "Crime" }
9         }, {
10           "$and": [{
11             "year": { "$lte": 2015 }
12           }, {
13             "genres": { "$eq": "Action" }
14           }]
15         }]
16       },
17       "queryVector": 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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 title: "Ong-bak 2"
2 score: 0.7976737022399902
3 year: 2008
4 plot: "A young Thai boxer learns the skills and inner meaning of martial arts…"
5 genres: Array (1)
6 
7 score: 0.7929348349571228
8 plot: "A handyman/martial arts master agrees to teach a bullied boy karate an…"
9 genres: Array (3)
10 title: "The Karate Kid"
11 year: 1984
12 
13 plot: "A young martial artist embarks on an adventure, encountering other mar…"
14 genres: Array (3)
15 title: "Circle of Iron"
16 year: 1978
17 score: 0.7852014899253845
18 
19 plot: "A lionized account of the life of the martial arts superstar."
20 genres: Array (3)
21 title: "Dragon: The Bruce Lee Story"
22 year: 1993
23 score: 0.7763040661811829
24 
25 score: 0.7731232643127441
26 plot: "A martial arts instructor from the police force gets imprisoned after …"
27 genres: Array (2)
28 title: "Kung Fu Killer"
29 year: 2014
30 
31 plot: "A young woman is trained by a martial arts specialist to become a prof…"
32 genres: Array (3)
33 title: "Naked Killer"
34 year: 1992
35 score: 0.7693743109703064
36 
37 plot: "The life of the greatest karate master of a generation."
38 genres: Array (3)
39 title: "The Real Miyagi"
40 year: 2015
41 score: 0.768799901008606
42 
43 plot: "At his new high school, a rebellious teen is lured into an underground…"
44 genres: Array (3)
45 title: "Never Back Down"
46 year: 2008
47 score: 0.768179714679718
48 
49 score: 0.7679706811904907
50 plot: "Three young martial arts masters emerge from the back streets of Hong …"
51 genres: Array (2)
52 title: "Dragon Tiger Gate"
53 year: 2006
54 
55 title: "Shaolin Soccer"
56 score: 0.7660527229309082
57 year: 2001
58 plot: "A young Shaolin follower reunites with his discouraged brothers to for…"
59 genres: Array (3)

注意

Pipeline Output窗格会显示查询结果。

展开查询结果。

Data Explorer可能不会显示其返回的文档中的所有值。要查看在查询路径中搜索的字段的所有值，请展开文档中的字段。

连接到`mongosh` 中的集群。

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

切换到`sample_mflix` 数据库。

use sample_mflix

switched to db sample_mflix

针对索引字段运行语义Atlas Search查询。

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

该筛选器使用$and聚合管道操作符来查找符合以下条件的电影文档：

按genres字段过滤，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字段筛选，查找1960到2000 （含）年份之间发行的电影。

1 db.embedded_movies.aggregate([
2   {
3     "$vectorSearch": {
4       "index": "vector-search-tutorial",
5       "path": "plot_embedding",
6       "filter": {
7         "$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": 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24   {
25     "$project": {
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31       "score": { $meta: "vectorSearchScore" }
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1 [
2   {
3     year: 1993,
4     plot: 'A botched mid-air heist results in suitcases full of cash being searched for by various groups throughout the Rocky Mountains.',
5     genres: [ 'Action', 'Adventure', 'Thriller' ],
6     title: 'Cliffhanger',
7     score: 0.7694521546363831
8   },
9   {
10     plot: 'The dying words of a thief spark a madcap cross-country rush to find some treasure.',
11     genres: [ 'Action', 'Adventure', 'Comedy' ],
12     title: "It's a Mad, Mad, Mad, Mad World",
13     year: 1963,
14     score: 0.7638954520225525
15   },
16   {
17     year: 1991,
18     plot: 'A cat burglar is forced to steal Da Vinci works of art for a world domination plot.',
19     genres: [ 'Action', 'Adventure', 'Comedy' ],
20     title: 'Hudson Hawk',
21     score: 0.7538407444953918
22   },
23   {
24     plot: 'In 1997, when the US President crashes into Manhattan, now a giant maximum security prison, a convicted bank robber is sent in for a rescue.',
25     genres: [ 'Action', 'Sci-Fi' ],
26     title: 'Escape from New York',
27     year: 1981,
28     score: 0.7487208843231201
29   },
30   {
31     plot: 'Patrick and Tony are hired by the wealthy gambler to steal the priceless Romanov stones, Russian jewels. They do it, but almost lose their lives when he double-crosses them. They turn around and get revenge.',
32     genres: [ 'Action', 'Thriller' ],
33     title: 'The Romanov Stones',
34     year: 1993,
35     score: 0.7467736005783081
36   },
37   {
38     plot: 'An attempted robbery turns to be an unexpected recruitment when two unemployed men mistakenly break into a police office instead of a store.',
39     genres: [ 'Action', 'Comedy', 'Adventure' ],
40     title: 'Crime Busters',
41     year: 1977,
42     score: 0.7437351942062378
43   },
44   {
45     plot: 'In the aftermath of the Persian Gulf War, 4 soldiers set out to steal gold that was stolen from Kuwait, but they discover people who desperately need their help.',
46     genres: [ 'Action', 'Adventure', 'Comedy' ],
47     title: 'Three Kings',
48     year: 1999,
49     score: 0.7425670623779297
50   },
51   {
52     plot: 'A professional thief is hired by the FBI to steal a data tape from a company under investigation. The analysis of this tape, will prove the criminal activities of this company. As this ...',
53     genres: [ 'Action', 'Sci-Fi', 'Thriller' ],
54     title: 'Black Moon Rising',
55     year: 1986,
56     score: 0.7397696375846863
57   },
58   {
59     plot: 'A group of heavily armed hijackers board a luxury ocean liner in the South Pacific Ocean to loot it, only to do battle with a series of large-sized, tentacled, man-eating sea creatures who have taken over the ship first.',
60     genres: [ 'Action', 'Adventure', 'Horror' ],
61     title: 'Deep Rising',
62     year: 1998,
63     score: 0.7392246127128601
64   },
65   {
66     plot: 'A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.',
67     genres: [ 'Action', 'Adventure', 'Comedy' ],
68     title: 'That Man from Rio',
69     year: 1964,
70     score: 0.7357995510101318
71   }
72 ]

该筛选器使用$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字段筛选可查找2015年或之前发行的电影，按genres字段筛选可查找action类型的电影。

1 db.embedded_movies.aggregate([
2   {
3     "$vectorSearch": {
4       "index": "vector-search-tutorial",
5       "path": "plot_embedding",
6       "filter": {
7         "$or": [{
8           "genres": { "$ne": "Crime" }
9         }, {
10           "$and": [{
11             "year": { "$lte": 2015 }
12           }, {
13             "genres": { "$eq": "Action" }
14           }]
15         }]
16       },
17       "queryVector": 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22   {
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1 [
2     {
3       year: 2008,
4       plot: 'A young Thai boxer learns the skills and inner meaning of martial arts.',
5       genres: [ 'Action' ],
6       title: 'Ong-bak 2',
7       score: 0.7976737022399902
8     },
9     {
10       plot: 'A handyman/martial arts master agrees to teach a bullied boy karate and shows him that there is more to the martial art than fighting.',
11       genres: [ 'Action', 'Drama', 'Family' ],
12       title: 'The Karate Kid',
13       year: 1984,
14       score: 0.7929348349571228
15     },
16     {
17       plot: 'A young martial artist embarks on an adventure, encountering other martial artists in battle until one day he meets an aging blind man who will show him the true meaning of martial arts and life.',
18       genres: [ 'Action', 'Adventure', 'Fantasy' ],
19       title: 'Circle of Iron',
20       year: 1978,
21       score: 0.7852014899253845
22     },
23     {
24       plot: 'A lionized account of the life of the martial arts superstar.',
25       genres: [ 'Action', 'Biography', 'Drama' ],
26       title: 'Dragon: The Bruce Lee Story',
27       year: 1993,
28       score: 0.7763040661811829
29     },
30     {
31       plot: 'A martial arts instructor from the police force gets imprisoned after killing a man by accident. But when a vicious killer starts targeting martial arts masters, the instructor offers to help the police in return for his freedom.',
32       genres: [ 'Action', 'Thriller' ],
33       title: 'Kung Fu Killer',
34       year: 2014,
35       score: 0.7731232643127441
36     },
37     {
38       plot: 'A young woman is trained by a martial arts specialist to become a professional assassin.',
39       genres: [ 'Action', 'Crime', 'Romance' ],
40       title: 'Naked Killer',
41       year: 1992,
42       score: 0.7693743109703064
43     },
44     {
45       plot: 'The life of the greatest karate master of a generation.',
46       genres: [ 'Documentary', 'Action', 'History' ],
47       title: 'The Real Miyagi',
48       year: 2015,
49       score: 0.768799901008606
50     },
51     {
52       plot: 'At his new high school, a rebellious teen is lured into an underground fight club, where he finds a mentor in a mixed martial arts veteran.',
53       genres: [ 'Action', 'Drama', 'Sport' ],
54       title: 'Never Back Down',
55       year: 2008,
56       score: 0.768179714679718
57     },
58     {
59       plot: 'Three young martial arts masters emerge from the back streets of Hong Kong to help the powerless fight injustice.',
60       genres: [ 'Action', 'Drama' ],
61       title: 'Dragon Tiger Gate',
62       year: 2006,
63       score: 0.7679706811904907
64     },
65     {
66       year: 2001,
67       plot: 'A young Shaolin follower reunites with his discouraged brothers to form a soccer team using their martial art skills to their advantage.',
68       genres: [ 'Action', 'Comedy', 'Sport' ],
69       title: 'Shaolin Soccer',
70       score: 0.7660527229309082
71     }
72 ]
73

确保您的`CLASSPATH` 包含以下库。

`junit`	4.11 或更高版本
`mongodb-driver-sync`	4.3.0 或更高版本
`slf4j-log4j12`	1.7.30 或更高版本

创建名为`AtlasVectorSearchTutorial.java` 的文件。

将要尝试的预过滤器操作符的代码复制并粘贴到`AtlasVectorSearchTutorial.java` 文件中。

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

该筛选器使用$and聚合管道操作符来查找符合以下条件的电影文档：

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

该筛选器使用$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字段筛选可查找2015年或之前发行的电影，按genres字段筛选可查找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 com.mongodb.client.model.search.VectorSearchOptions.vectorSearchOptions;
5 import static java.util.Arrays.asList;
6 
7 import com.mongodb.client.MongoClient;
8 import com.mongodb.client.MongoClients;
9 import com.mongodb.client.MongoCollection;
10 import com.mongodb.client.MongoDatabase;
11 import com.mongodb.client.model.*;
12 import com.mongodb.client.model.search.VectorSearchOptions;
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-search-tutorial";
31 	    FieldSearchPath fieldSearchPath = fieldPath("plot_embedding");
32 	    int numCandidates = 200;
33       int limit = 10;
34       Bson criteria = Filters.or(Filters.lte("year", 2015), Filters.and(Filters.lte("year", 2015), Filters.eq("genres", "Action")));
35       VectorSearchOptions options = vectorSearchOptions().filter(criteria);
36       
37       // define pipeline 
38       List<Bson> pipeline = asList(
39           vectorSearch(
40            fieldSearchPath,
41            queryVector,
42            indexName,
43            numCandidates,
44            limit,
45            options),
46           project(
47            fields(exclude("_id"), include("title"), include("plot"), include("year"),
48         		   include("genres"), metaVectorSearchScore("score"))));
49       
50 	    // run query and print results
51       collection.aggregate(pipeline)
52         .forEach(doc -> System.out.println(doc.toJson()));	
53     }
54   }
55 }

注意

要在 Maven 环境中运行示例代码，请将以下代码添加到文件中的 import 语句上方。

package com.mongodb.drivers;

将替换为`<connection-string>` 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     "year": 1993,
3     "plot": "A botched mid-air heist results in suitcases full of cash being searched for by various groups throughout the Rocky Mountains.", 
4     "genres": ["Action", "Adventure", "Thriller"], 
5     "title": "Cliffhanger", 
6     "score": 0.7694521546363831
7 }
8 {
9     "plot": "The dying words of a thief spark a madcap cross-country rush to find some treasure.", 
10     "genres": ["Action", "Adventure", "Comedy"], 
11     "title": "It's a Mad, Mad, Mad, Mad World", 
12     "year": 1963, 
13     "score": 0.7638954520225525
14 }
15 {
16     "year": 1991, 
17     "plot": "A cat burglar is forced to steal Da Vinci works of art for a world domination plot.", 
18     "genres": ["Action", "Adventure", "Comedy"], 
19     "title": "Hudson Hawk", 
20     "score": 0.7538407444953918
21 }
22 {
23     "plot": "In 1997, when the US President crashes into Manhattan, now a giant maximum security prison, a convicted bank robber is sent in for a rescue.", 
24     "genres": ["Action", "Sci-Fi"], 
25     "title": "Escape from New York", 
26     "year": 1981, 
27     "score": 0.7487208843231201
28 }
29 {
30     "plot": "Patrick and Tony are hired by the wealthy gambler to steal the priceless Romanov stones, Russian jewels. They do it, but almost lose their lives when he double-crosses them. They turn around and get revenge.", 
31     "genres": ["Action", "Thriller"], 
32     "title": "The Romanov Stones", 
33     "year": 1993, 
34     "score": 0.7467736005783081
35 }
36 {
37     "plot": "An attempted robbery turns to be an unexpected recruitment when two unemployed men mistakenly break into a police office instead of a store.", 
38     "genres": ["Action", "Comedy", "Adventure"], 
39     "title": "Crime Busters", 
40     "year": 1977, 
41     "score": 0.7437351942062378
42 }
43 {
44     "plot": "In the aftermath of the Persian Gulf War, 4 soldiers set out to steal gold that was stolen from Kuwait, but they discover people who desperately need their help.", 
45     "genres": ["Action", "Adventure", "Comedy"], 
46     "title": "Three Kings", 
47     "year": 1999, 
48     "score": 0.7425670623779297
49 }
50 {
51     "plot": "A professional thief is hired by the FBI to steal a data tape from a company under investigation. The analysis of this tape, will prove the criminal activities of this company. As this ...", 
52     "genres": ["Action", "Sci-Fi", "Thriller"], 
53     "title": "Black Moon Rising", 
54     "year": 1986, 
55     "score": 0.7397696375846863
56 }
57 {
58     "plot": "A group of heavily armed hijackers board a luxury ocean liner in the South Pacific Ocean to loot it, only to do battle with a series of large-sized, tentacled, man-eating sea creatures who have taken over the ship first.", 
59     "genres": ["Action", "Adventure", "Horror"], 
60     "title": "Deep Rising", 
61     "year": 1998, 
62     "score": 0.7392246127128601
63 }
64 {
65     "plot": "A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.", 
66     "genres": ["Action", "Adventure", "Comedy"], 
67     "title": "That Man from Rio", 
68     "year": 1964, 
69     "score": 0.7357995510101318
70 }

javac AtlasVectorSearchTutorial.java
java AtlasVectorSearchTutorial

1 {
2     "year": 2008, 
3     "plot": "A young Thai boxer learns the skills and inner meaning of martial arts.", 
4     "genres": ["Action"], 
5     "title": "Ong-bak 2", 
6     "score": 0.7976737022399902
7 }
8 {
9     "plot": "A handyman/martial arts master agrees to teach a bullied boy karate and shows him that there is more to the martial art than fighting.", 
10     "genres": ["Action", "Drama", "Family"], 
11     "title": "The Karate Kid", 
12     "year": 1984, 
13     "score": 0.7929348349571228
14 }
15 {
16     "plot": "A young martial artist embarks on an adventure, encountering other martial artists in battle until one day he meets an aging blind man who will show him the true meaning of martial arts and life.", 
17     "genres": ["Action", "Adventure", "Fantasy"], 
18     "title": "Circle of Iron", 
19     "year": 1978, 
20     "score": 0.7852014899253845
21 }
22 {
23     "plot": "A lionized account of the life of the martial arts superstar.", 
24     "genres": ["Action", "Biography", "Drama"], 
25     "title": "Dragon: The Bruce Lee Story", 
26     "year": 1993, 
27     "score": 0.7763040661811829
28 }
29 {
30     "plot": "A martial arts instructor from the police force gets imprisoned after killing a man by accident. But when a vicious killer starts targeting martial arts masters, the instructor offers to help the police in return for his freedom.", 
31     "genres": ["Action", "Thriller"], 
32     "title": "Kung Fu Killer", 
33     "year": 2014, 
34     "score": 0.7731232643127441
35 }
36 {
37     "plot": "A young woman is trained by a martial arts specialist to become a professional assassin.", 
38     "genres": ["Action", "Crime", "Romance"], 
39     "title": "Naked Killer", 
40     "year": 1992, 
41     "score": 0.7693743109703064
42 }
43 {
44     "plot": "The life of the greatest karate master of a generation.", 
45     "genres": ["Documentary", "Action", "History"], 
46     "title": "The Real Miyagi", 
47     "year": 2015, 
48     "score": 0.768799901008606
49 }
50 {
51     "plot": "At his new high school, a rebellious teen is lured into an underground fight club, where he finds a mentor in a mixed martial arts veteran.", 
52     "genres": ["Action", "Drama", "Sport"], 
53     "title": "Never Back Down", 
54     "year": 2008, 
55     "score": 0.768179714679718
56 }
57 {
58     "plot": "Three young martial arts masters emerge from the back streets of Hong Kong to help the powerless fight injustice.", 
59     "genres": ["Action", "Drama"], 
60     "title": "Dragon Tiger Gate", 
61     "year": 2006, 
62     "score": 0.7679706811904907
63 }
64 {
65     "year": 2001, 
66     "plot": "A young Shaolin follower reunites with his discouraged brothers to form a soccer team using their martial art skills to their advantage.", 
67     "genres": ["Action", "Comedy", "Sport"], 
68     "title": "Shaolin Soccer", 
69     "score": 0.7660527229309082
70 }

创建名为`atlas-vector-search-tutorial.js` 的文件。

将您想要尝试的预过滤操作符的示例查询复制并粘贴到`atlas-vector-search-tutorial.js` 文件中。

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

该筛选器使用$and聚合管道操作符来查找符合以下条件的电影文档：

按genres字段过滤，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字段筛选，查找1960到2000 （含）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         '$vectorSearch': {
20           'index': 'vector-search-tutorial', 
21           'path': 'plot_embedding', 
22           'filter': {
23             '$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': [-0.020156775, -0.024996493, 0.010778184, -0.030058576, -0.03309321, 0.0031229265, -0.022772837, 0.0028351594, 0.00036870153, -0.02820117, 0.016245758, 0.0036232488, 0.0020519753, -0.0076454473, 0.0073380596, -0.007377301, 0.039267123, -0.013433489, 0.01428371, -0.017279103, -0.028358135, 0.0020160044, 0.00856761, 0.009653277, 0.0107912645, -0.026683854, 0.009594415, -0.020182934, 0.018077003, -0.015709465, 0.003310956, 0.0014878864, -0.015971072, -0.002411684, -0.029561523, -0.030450987, -0.013106481, -0.005385822, -0.018652538, 0.012642129, -0.005189617, 0.018835662, -0.0048102876, -0.0261214, -0.016167276, -0.007972456, 0.0023381072, -0.010058766, -0.009012341, 0.008358325, 0.018665617, 0.02163485, -0.012975678, -0.010745483, -0.002571918, -0.014479915, 0.007226877, 0.015003128, 0.013165343, -0.028279653, 0.0053727417, -0.020588424, -0.017383745, 0.023518417, 0.01262905, -0.011922712, 0.007638907, -0.0073249796, -0.014859244, -0.00001101736, 0.017043658, 0.010111088, 0.0074623227, 0.009555174, 0.008338705, -0.002240005, -0.0010603234, -0.004973792, 0.003391073, 0.021543289, 0.013341927, 0.0005980159, 0.010693162, 0.005336771, 0.016062634, 0.005768421, 0.005186347, 0.039790336, 0.0021942237, -0.0026275094, 0.010431555, 0.0042151334, -0.0050359233, 0.025768232, -0.021451725, 0.01833861, -0.01836477, -0.013433489, 0.030006256, -0.014793842, 0.017475309, 0.0020585153, -0.012975678, -0.017266022, -0.01593183, -0.014257549, 0.0010676811, -0.007887433, -0.0045911926, 0.00012303676, -0.0014976967, 0.03552615, 0.0065630507, -0.037435878, 0.011929252, -0.00939167, 0.016768971, 0.01223664, 0.007789331, -0.037200432, 0.013145722, 0.00896002, 0.021857215, 0.010333453, 0.021582529, -0.007089534, -0.007154935, -0.02485261, 0.0040254686, -0.00088864425, 0.023466095, -0.020719228, -0.006690584, -0.021006994, -0.018286288, 0.025545865, -0.0096598165, 0.008803056, -0.023021365, -0.040078104, 0.015408617, 0.017043658, -0.011242535, 0.0063537657, 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0.012864495, -0.00937859, -0.035264544, 0.0027959184, 0.012982218, -0.012609429, 0.0065270797, 0.010712783], 
42           'numCandidates': 200, 
43           'limit': 10
44         }
45       }, {
46         '$project': {
47           '_id': 0, 
48           'title': 1, 
49           'genres': 1, 
50           'plot': 1, 
51           'year': 1, 
52           'score': {
53             '$meta': 'vectorSearchScore'
54           }
55         }
56       }
57     ];
58 
59     // run pipeline
60     const result = coll.aggregate(agg);
61 
62     // print results
63     await result.forEach((doc) => console.dir(JSON.stringify(doc)));
64   } finally {
65     await client.close();
66   }
67 }
68 run().catch(console.dir);

该筛选器使用$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字段筛选可查找2015年或之前发行的电影，按genres字段筛选可查找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         '$vectorSearch': {
20           'index': 'vector-search-tutorial', 
21           'path': 'plot_embedding', 
22           'filter': {
23             '$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': [-0.016465975, -0.0036450154, 0.001644484, -0.028249683, -0.02077106, 0.00031438665, -0.02351539, -0.017519485, -0.0025362284, -0.038888834, 0.023489377, 0.022695992, 0.009481592, 0.009995341, -0.0043506073, -0.0021297815, 0.033972453, 0.00070193375, 0.007335553, -0.017909674, 0.015191358, 0.015360439, -0.00020505243, -0.023801528, -0.013539557, -0.0015290531, 0.009631164, -0.026493832, -0.0245689, -0.02481602, 0.02832772, -0.012473041, -0.006538917, -0.021707514, -0.01676512, -0.005865841, 0.010359517, -0.013246916, 0.014710125, 0.0060869483, 0.016192842, 0.0026484078, 0.002417546, -0.007764761, -0.0053781047, 0.0016843157, 0.009071894, 0.0026158919, -0.016465975, 0.019054228, 0.030720878, 0.028145632, -0.0124340225, -0.011491066, -0.01273967, -0.0076542073, 0.00685432, 0.002936172, 0.03194347, -0.030798918, -0.004961903, 0.012661632, -0.024646938, 0.0085256295, -0.01133499, 0.016648063, -0.017857648, 0.01627088, -0.020823086, -0.002233832, 0.008330535, 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0.011627631, 0.026480826, 0.0025346025, 0.018937172, 0.0085971635, -0.012395004, 0.011608122, 0.00065397297, 0.040085416, 0.008883302, -0.0013339586, -0.0064413697, -0.007296534, 0.0028467537, -0.092917, -0.00801188, 0.016192842, 0.027469303, -0.033166062, 0.017662555, -0.002692304, 0.036079474, -0.0144760115, 0.020445902, -0.00036641184, -0.018442933, -0.008493113, -0.01476215, 0.018703058, 0.001552627, 0.0065876907, -0.017974706, -0.0076542073, 0.022149729, -0.010066876, 0.004932639, -0.0061292187, 0.0016436711, -0.007959855, 0.0031393955, -0.0324117, 0.037093967, 0.007114446, 0.019821601, -0.016518, -0.0034596757, 0.021668496, -0.03332214, 0.012785193, -0.007810283, -0.018833121, -0.0029963262, 0.0210572, -0.019392392, 0.0021135237, 0.015685597, 0.013116853, -0.027495317, 0.011250449, -0.0071924836, -0.019106254, 0.0107562095, 0.014007784, -0.034492705, -0.03394644, -0.024750987, -0.041047882, -0.006685238, 0.0068868357, 0.008694711, 0.019093247, 0.01261611, -0.009748221, -0.0027394518, 0.014918226, -0.0032710843, -0.0044936766, 0.01546449, 0.018208819, 0.004288827, -0.021538433, -0.026897028, 0.023879565, -0.018299863, -0.012245431, 0.015516515, -0.040891804, -0.011816223, -0.02221476, 0.012082852, -0.02417871, -0.009338523, 0.010047366, -0.027079115, -0.016010754, -0.021863589, -0.004305085, -0.027261203, 0.024100672, 0.000711282, 0.001071394, -0.0037263047, -0.007829792, -0.0049456456, -0.021603463, 0.03274986, 0.01866404, -0.032567773, -0.0044318964, 0.017935688, 0.018638028, -0.015282402, -0.009377542, 0.03012259, 0.015178352, -0.004792821, -0.048305396, 0.007075427, 0.020784067, 0.010678172, 0.0019509449, 0.0045684627, 0.02242286, -0.011374009, 0.024477856, -0.0021736778, -0.021291312, -0.009188951, 0.02692304, -0.0038628709, -0.02442583, -0.029394237, 0.019054228, 0.01606278, -0.0035051976, -0.00012284856, 0.01911926, 0.0088768, 0.007036408, 0.0015461239, -0.0030711126, 0.0034629272, -0.015152339, 0.02097916, -0.031163093, 0.0061909985, 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-0.021668496, 0.0011803217, 0.0053781047, -0.020588972, -0.030304678, -0.015893698, -0.0041295, 0.04705679, 0.020198783, -0.007010395, 0.0039344057, 0.00019905735, 0.010587128, 0.0026549108, -0.015165345, -0.023996623, 0.01476215, -0.0021200269, 0.0458342, 0.02221476, -0.021174256, 0.009000359, 0.027573355, -0.007634698, -0.0053520924, -0.0032190592, 0.010196939, 0.014033797, 0.01203733, -0.032307647, -0.00873373, -0.016609045, -0.014593068, -0.014658099, 0.015828667, -0.024087666, 0.03043474, -0.0020598727, 0.006327565, 0.0019850864, -0.004236802, 0.015932716, 0.00049139425, -0.0023232503, -0.018351888, -0.025466334, -0.010457065, -0.00039587924, 0.0017330894, -0.024334786, -0.018599007, -0.0031442728, -0.030564804, 0.036807828, 0.0051895133, -0.015620566, 0.020680016, 0.021239286, 0.019171285, -0.00803139, -0.027963543, -0.0049261358, 0.018429926, 0.011217933, -0.015984742, -0.020575965, -0.007472119, -0.0071924836, -0.035975423, -0.028405758, 0.027573355, 0.0015770138, -0.009279994, -0.007634698, 0.007810283, 0.039929338, -0.029186135, 0.025245227, -0.02446485, -0.011770701, 0.009611655, -0.0033718832, -0.015451483, 0.007829792, -0.018403914], 
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

'{
    "year":1993,
    "plot":"A botched mid-air heist results in suitcases full of cash being searched for by various groups throughout the Rocky Mountains.",
    "genres":["Action","Adventure","Thriller"],
    "title":"Cliffhanger",
    "score":0.7694521546363831
}'
`{
    "plot":"The dying words of a thief spark a madcap cross-country rush to find some treasure.",
    "genres":["Action","Adventure","Comedy"],
    "title":"It's a Mad, Mad, Mad, Mad World",
    "year":1963,
    "score":0.7638954520225525
}`
'{
    "year":1991,
    "plot":"A cat burglar is forced to steal Da Vinci works of art for a world domination plot.",
    "genres":["Action","Adventure","Comedy"],
    "title":"Hudson Hawk",
    "score":0.7538407444953918
}'
'{
    "plot":"In 1997, when the US President crashes into Manhattan, now a giant maximum security prison, a convicted bank robber is sent in for a rescue.",
    "genres":["Action","Sci-Fi"],
    "title":"Escape from New York",
    "year":1981,
    "score":0.7487208843231201
}'
'{
    "plot":"Patrick and Tony are hired by the wealthy gambler to steal the priceless Romanov stones, Russian jewels. They do it, but almost lose their lives when he double-crosses them. They turn around and get revenge.",
    "genres":["Action","Thriller"],
    "title":"The Romanov Stones",
    "year":1993,
    "score":0.7467736005783081
}'
'{
    "plot":"An attempted robbery turns to be an unexpected recruitment when two unemployed men mistakenly break into a police office instead of a store.",
    "genres":["Action","Comedy","Adventure"],
    "title":"Crime Busters",
    "year":1977,
    "score":0.7437351942062378
}'
'{
    "plot":"In the aftermath of the Persian Gulf War, 4 soldiers set out to steal gold that was stolen from Kuwait, but they discover people who desperately need their help.",
    "genres":["Action","Adventure","Comedy"],
    "title":"Three Kings",
    "year":1999,
    "score":0.7425670623779297
}'
'{
    "plot":"A professional thief is hired by the FBI to steal a data tape from a company under investigation. The analysis of this tape, will prove the criminal activities of this company. As this ...",
    "genres":["Action","Sci-Fi","Thriller"],
    "title":"Black Moon Rising",
    "year":1986,
    "score":0.7397696375846863
}'
'{
    "plot":"A group of heavily armed hijackers board a luxury ocean liner in the South Pacific Ocean to loot it, only to do battle with a series of large-sized, tentacled, man-eating sea creatures who have taken over the ship first.","genres":["Action","Adventure","Horror"],"title":"Deep Rising","year":1998,"score":0.7392246127128601
}'
'{
    "plot":"A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.",
    "genres":["Action","Adventure","Comedy"],
    "title":"That Man from Rio",
    "year":1964,
    "score":0.7357995510101318
}'

node atlas-search-tutorial.js

'{
    "year":2008,
    "plot":"A young Thai boxer learns the skills and inner meaning of martial arts.",
    "genres":["Action"],
    "title":"Ong-bak 2",
    "score":0.7976737022399902
}'
'{
    "plot":"A handyman/martial arts master agrees to teach a bullied boy karate and shows him that there is more to the martial art than fighting.",
    "genres":["Action","Drama","Family"],
    "title":"The Karate Kid",
    "year":1984,
    "score":0.7929348349571228
}'
'{
    "plot":"A young martial artist embarks on an adventure, encountering other martial artists in battle until one day he meets an aging blind man who will show him the true meaning of martial arts and life.","
    genres":["Action","Adventure","Fantasy"],
    "title":"Circle of Iron",
    "year":1978,
    "score":0.7852014899253845
}'
'{
    "plot":"A lionized account of the life of the martial arts superstar.",
    "genres":["Action","Biography","Drama"],
    "title":"Dragon: The Bruce Lee Story",
    "year":1993,
    "score":0.7763040661811829
}'
'{
    "plot":"A martial arts instructor from the police force gets imprisoned after killing a man by accident. But when a vicious killer starts targeting martial arts masters, the instructor offers to help the police in return for his freedom.",
    "genres":["Action","Thriller"],
    "title":"Kung Fu Killer",
    "year":2014,
    "score":0.7731232643127441
}'
'{
    "plot":"A young woman is trained by a martial arts specialist to become a professional assassin.",
    "genres":["Action","Crime","Romance"],
    "title":"Naked Killer",
    "year":1992,
    "score":0.7693743109703064
}'
'{
    "plot":"The life of the greatest karate master of a generation.",
    "genres":["Documentary","Action","History"],
    "title":"The Real Miyagi",
    "year":2015,
    "score":0.768799901008606
}'
'{
    "plot":"At his new high school, a rebellious teen is lured into an underground fight club, where he finds a mentor in a mixed martial arts veteran.",
    "genres":["Action","Drama","Sport"],
    "title":"Never Back Down",
    "year":2008,
    "score":0.768179714679718
}'
'{
    "plot":"Three young martial arts masters emerge from the back streets of Hong Kong to help the powerless fight injustice.",
    "genres":["Action","Drama"],
    "title":"Dragon Tiger Gate",
    "year":2006,
    "score":0.7679706811904907
}'
'{
    "year":2001,
    "plot":"A young Shaolin follower reunites with his discouraged brothers to form a soccer team using their martial art skills to their advantage.",
    "genres":["Action","Comedy","Sport"],
    "title":"Shaolin Soccer",
    "score":0.7660527229309082
}'

创建名为`atlas-vector-search-tutorial.py` 的文件。

将您想要尝试的预过滤操作符的查询复制并粘贴到`atlas-vector-search-tutorial.py` 文件中。

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

该筛选器使用$and聚合管道操作符来查找符合以下条件的电影文档：

按genres字段过滤，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字段筛选，查找1960到2000 （含）年份之间发行的电影。

1 import pymongo
2 import datetime
3 
4 # connect to your Atlas cluster
5 client = pymongo.MongoClient("<connection-string>")
6 
7 # define pipeline
8 pipeline = [
9   {
10     '$vectorSearch': {
11       'index': 'vector-search-tutorial', 
12         'path': 'plot_embedding', 
13         'filter': {
14           '$and': [
15             {
16               'genres': {
17                 '$nin': [
18                   'Drama', 'Western', 'Crime'
19                 ], 
20                 '$in': [
21                   'Action', 'Adventure', 'Family'
22                 ]
23               }
24             }, {
25               'year': {
26                 '$gte': 1960, 
27                 '$lte': 2000
28               }
29             }
30           ]
31         }, 
32         'queryVector': [-0.020156775, -0.024996493, 0.010778184, -0.030058576, -0.03309321, 0.0031229265, -0.022772837, 0.0028351594, 0.00036870153, -0.02820117, 0.016245758, 0.0036232488, 0.0020519753, -0.0076454473, 0.0073380596, -0.007377301, 0.039267123, -0.013433489, 0.01428371, -0.017279103, -0.028358135, 0.0020160044, 0.00856761, 0.009653277, 0.0107912645, -0.026683854, 0.009594415, -0.020182934, 0.018077003, -0.015709465, 0.003310956, 0.0014878864, -0.015971072, -0.002411684, -0.029561523, -0.030450987, -0.013106481, -0.005385822, -0.018652538, 0.012642129, -0.005189617, 0.018835662, -0.0048102876, -0.0261214, -0.016167276, -0.007972456, 0.0023381072, -0.010058766, -0.009012341, 0.008358325, 0.018665617, 0.02163485, -0.012975678, -0.010745483, -0.002571918, -0.014479915, 0.007226877, 0.015003128, 0.013165343, -0.028279653, 0.0053727417, -0.020588424, -0.017383745, 0.023518417, 0.01262905, -0.011922712, 0.007638907, -0.0073249796, -0.014859244, -0.00001101736, 0.017043658, 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33        'numCandidates': 200, 
34        'limit': 10
35     }
36   }, {
37     '$project': {
38       '_id': 0, 
39       'title': 1, 
40       'genres': 1, 
41       'plot': 1, 
42       'year': 1, 
43       'score': {
44         '$meta': 'vectorSearchScore'
45       }
46     }
47   }
48 ]
49 
50 # run pipeline
51 result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)
52 
53 # print results
54 for i in result:
55     print(i)
56

该筛选器使用$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字段筛选可查找2015年或之前发行的电影，按genres字段筛选可查找action类型的电影。

1 import pymongo
2 import datetime
3 
4 # connect to your Atlas cluster
5 client = pymongo.MongoClient("<connection-string>")
6 
7 # define pipeline
8 pipeline = [
9   {
10     '$vectorSearch': {
11       'index': 'vector-search-tutorial', 
12       'path': 'plot_embedding', 
13       'filter': {
14         '$or': [
15           {
16             'genres': {
17               '$ne': 'Crime'
18             }
19           }, {
20             '$and': [
21               {
22                 'year': {
23                   '$lte': 2015
24                 }
25               }, {
26                 'genres': {
27                   '$eq': 'Action'
28                 }
29               }
30             ]
31           }
32         ]
33       }, 
34       'queryVector': [-0.016465975, -0.0036450154, 0.001644484, -0.028249683, -0.02077106, 0.00031438665, -0.02351539, -0.017519485, -0.0025362284, -0.038888834, 0.023489377, 0.022695992, 0.009481592, 0.009995341, -0.0043506073, -0.0021297815, 0.033972453, 0.00070193375, 0.007335553, -0.017909674, 0.015191358, 0.015360439, -0.00020505243, -0.023801528, -0.013539557, -0.0015290531, 0.009631164, -0.026493832, -0.0245689, -0.02481602, 0.02832772, -0.012473041, -0.006538917, -0.021707514, -0.01676512, -0.005865841, 0.010359517, -0.013246916, 0.014710125, 0.0060869483, 0.016192842, 0.0026484078, 0.002417546, -0.007764761, -0.0053781047, 0.0016843157, 0.009071894, 0.0026158919, -0.016465975, 0.019054228, 0.030720878, 0.028145632, -0.0124340225, -0.011491066, -0.01273967, -0.0076542073, 0.00685432, 0.002936172, 0.03194347, -0.030798918, -0.004961903, 0.012661632, -0.024646938, 0.0085256295, -0.01133499, 0.016648063, -0.017857648, 0.01627088, -0.020823086, -0.002233832, 0.008330535, 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-0.007634698, 0.007810283, 0.039929338, -0.029186135, 0.025245227, -0.02446485, -0.011770701, 0.009611655, -0.0033718832, -0.015451483, 0.007829792, -0.018403914], 
35       'numCandidates': 200, 
36       'limit': 10
37     }
38   }, {
39     '$project': {
40       '_id': 0, 
41       'title': 1, 
42       'genres': 1, 
43       'plot': 1, 
44       'year': 1, 
45       'score': {
46         '$meta': 'vectorSearchScore'
47       }
48     }
49   }
50 ]
51 
52 # run pipeline
53 result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)
54 
55 # print results
56 for i in result:
57     print(i)
58

替换查询中的`<connection-string>` ，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。

运行命令以查询您的集合。

python atlas-vector-search-tutorial.py

{
    'year': 1993, 
    'plot': 'A botched mid-air heist results in suitcases full of cash being searched for by various groups throughout the Rocky Mountains.', 
    'genres': ['Action', 'Adventure', 'Thriller'], 
    'title': 'Cliffhanger', 
    'score': 0.7694521546363831
}
{
    'plot': 'The dying words of a thief spark a madcap cross-country rush to find some treasure.', 
    'genres': ['Action', 'Adventure', 'Comedy'], 
    'title': "It's a Mad, Mad, Mad, Mad World", 
    'year': 1963, 
    'score': 0.7638954520225525
}
{
    'year': 1991, 
    'plot': 'A cat burglar is forced to steal Da Vinci works of art for a world domination plot.', 
    'genres': ['Action', 'Adventure', 'Comedy'], 
    'title': 'Hudson Hawk', 
    'score': 0.7538407444953918
}
{
    'plot': 'In 1997, when the US President crashes into Manhattan, now a giant maximum security prison, a convicted bank robber is sent in for a rescue.', 
    'genres': ['Action', 'Sci-Fi'], 
    'title': 'Escape from New York', 
    'year': 1981, 
    'score': 0.7487208843231201
}
{
    'plot': 'Patrick and Tony are hired by the wealthy gambler to steal the priceless Romanov stones, Russian jewels. They do it, but almost lose their lives when he double-crosses them. They turn around and get revenge.', 
    'genres': ['Action', 'Thriller'], 
    'title': 'The Romanov Stones', 
    'year': 1993, 
    'score': 0.7467736005783081
}
{
    'plot': 'An attempted robbery turns to be an unexpected recruitment when two unemployed men mistakenly break into a police office instead of a store.', 
    'genres': ['Action', 'Comedy', 'Adventure'], 
    'title': 'Crime Busters', 
    'year': 1977, 
    'score': 0.7437351942062378
}
{
    'plot': 'In the aftermath of the Persian Gulf War, 4 soldiers set out to steal gold that was stolen from Kuwait, but they discover people who desperately need their help.', 
    'genres': ['Action', 'Adventure', 'Comedy'], 
    'title': 'Three Kings', 
    'year': 1999, 
    'score': 0.7425670623779297
}
{
    'plot': 'A professional thief is hired by the FBI to steal a data tape from a company under investigation. The analysis of this tape, will prove the criminal activities of this company. As this ...', 'genres': ['Action', 'Sci-Fi', 'Thriller'], 'title': 'Black Moon Rising', 'year': 1986, 'score': 0.7397696375846863
}
{
    'plot': 'A group of heavily armed hijackers board a luxury ocean liner in the South Pacific Ocean to loot it, only to do battle with a series of large-sized, tentacled, man-eating sea creatures who have taken over the ship first.', 
    'genres': ['Action', 'Adventure', 'Horror'], 
    'title': 'Deep Rising', 
    'year': 1998, 
    'score': 0.7392246127128601
}
{
    'plot': 'A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.', 
    'genres': ['Action', 'Adventure', 'Comedy'], 
    'title': 'That Man from Rio', 
    'year': 1964, 
    'score': 0.7357995510101318
}

python atlas-vector-search-tutorial.py

{
    'year': 2008, 
    'plot': 'A young Thai boxer learns the skills and inner meaning of martial arts.', 
    'genres': ['Action'], 
    'title': 'Ong-bak 2', 
    'score': 0.7976737022399902
}
{
    'plot': 'A handyman/martial arts master agrees to teach a bullied boy karate and shows him that there is more to the martial art than fighting.', 
    'genres': ['Action', 'Drama', 'Family'], 
    'title': 'The Karate Kid', 
    'year': 1984, 
    'score': 0.7929348349571228
}
{
    'plot': 'A young martial artist embarks on an adventure, encountering other martial artists in battle until one day he meets an aging blind man who will show him the true meaning of martial arts and life.', 
    'genres': ['Action', 'Adventure', 'Fantasy'], 
    'title': 'Circle of Iron', 
    'year': 1978, 
    'score': 0.7852014899253845
}
{
    'plot': 'A lionized account of the life of the martial arts superstar.', 
    'genres': ['Action', 'Biography', 'Drama'], 
    'title': 'Dragon: The Bruce Lee Story', 
    'year': 1993, 
    'score': 0.7763040661811829
}
{
    'plot': 'A martial arts instructor from the police force gets imprisoned after killing a man by accident. But when a vicious killer starts targeting martial arts masters, the instructor offers to help the police in return for his freedom.', 
    'genres': ['Action', 'Thriller'], 
    'title': 'Kung Fu Killer', 
    'year': 2014, 
    'score': 0.7731232643127441
}
{
    'plot': 'A young woman is trained by a martial arts specialist to become a professional assassin.', 
    'genres': ['Action', 'Crime', 'Romance'], '
    title': 'Naked Killer', 
    'year': 1992, 
    'score': 0.7693743109703064
}
{
    'plot': 'The life of the greatest karate master of a generation.', 
    'genres': ['Documentary', 'Action', 'History'], 
    'title': 'The Real Miyagi', 
    'year': 2015, 
    'score': 0.768799901008606
}
{
    'plot': 'At his new high school, a rebellious teen is lured into an underground fight club, where he finds a mentor in a mixed martial arts veteran.', 
    'genres': ['Action', 'Drama', 'Sport'], 
    'title': 'Never Back Down', 
    'year': 2008, 
    'score': 0.768179714679718
}
{
    'plot': 'Three young martial arts masters emerge from the back streets of Hong Kong to help the powerless fight injustice.', 
    'genres': ['Action', 'Drama'], 
    'title': 'Dragon Tiger Gate', 
    'year': 2006, 
    'score': 0.7679706811904907
}
{
    'year': 2001, 
    'plot': 'A young Shaolin follower reunites with his discouraged brothers to form a soccer team using their martial art skills to their advantage.', 
    'genres': ['Action', 'Comedy', 'Sport'], 
    'title': 'Shaolin Soccer', '
    score': 0.7660527229309082
}

后退

Tutorials

来年

混合搜索

1	{
2	"fields": [
3	{
4	"type": "vector",
5	"path": "plot_embedding",
6	"numDimensions": 1536,
7	"similarity": "euclidean"
8	},
9	{
10	"type": "filter",
11	"path": "genres"
12	},
13	{
14	"type": "filter",
15	"path": "year"
16	}
17	]
18	}

1	[
2	{
3	"$vectorSearch": {
4	"index": "vector-search-tutorial",
5	"path": "plot_embedding",
6	"filter": {
7	"$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	},
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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	year: 1993
2	plot: "A botched mid-air heist results in suitcases full of cash being search…"
3	genres: Array (3)
4	title: "Cliffhanger"
5	score: 0.7694521546363831
6
7	genres: Array (3)
8	title: "It's a Mad, Mad, Mad, Mad World"
9	year: 1963
10	score: 0.7638954520225525
11	plot: "The dying words of a thief spark a madcap cross-country rush to find s…"
12
13	score: 0.7538407444953918
14	year: 1991
15	plot: "A cat burglar is forced to steal Da Vinci works of art for a world dom…"
16	genres: Array (3)
17	title: "Hudson Hawk"
18
19	plot: "In 1997, when the US President crashes into Manhattan, now a giant max…"
20	genres: Array (2)
21	title: "Escape from New York"
22	year: 1981
23	score: 0.7487208843231201
24
25	title: "The Romanov Stones"
26	year: 1993
27	score: 0.7467736005783081
28	plot: "Patrick and Tony are hired by the wealthy gambler to steal the pricele…"
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31	plot: "An attempted robbery turns to be an unexpected recruitment when two un…"
32	genres: Array (3)
33	title: "Crime Busters"
34	year: 1977
35	score: 0.7437351942062378
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37	plot: "In the aftermath of the Persian Gulf War, 4 soldiers set out to steal …"
38	genres: Array (3)
39	title: "Three Kings"
40	year: 1999
41	score: 0.7425670623779297
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43	plot: "A professional thief is hired by the FBI to steal a data tape from a c…"
44	genres: Array (3)
45	title: "Black Moon Rising"
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47	score: 0.7397696375846863
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49	plot: "A group of heavily armed hijackers board a luxury ocean liner in the S…"
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53	score: 0.7392246127128601
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55	year: 1964
56	score: 0.7357995510101318
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59	title: "That Man from Rio"

1	title: "Ong-bak 2"
2	score: 0.7976737022399902
3	year: 2008
4	plot: "A young Thai boxer learns the skills and inner meaning of martial arts…"
5	genres: Array (1)
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7	score: 0.7929348349571228
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9	genres: Array (3)
10	title: "The Karate Kid"
11	year: 1984
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13	plot: "A young martial artist embarks on an adventure, encountering other mar…"
14	genres: Array (3)
15	title: "Circle of Iron"
16	year: 1978
17	score: 0.7852014899253845
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19	plot: "A lionized account of the life of the martial arts superstar."
20	genres: Array (3)
21	title: "Dragon: The Bruce Lee Story"
22	year: 1993
23	score: 0.7763040661811829
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25	score: 0.7731232643127441
26	plot: "A martial arts instructor from the police force gets imprisoned after …"
27	genres: Array (2)
28	title: "Kung Fu Killer"
29	year: 2014
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31	plot: "A young woman is trained by a martial arts specialist to become a prof…"
32	genres: Array (3)
33	title: "Naked Killer"
34	year: 1992
35	score: 0.7693743109703064
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37	plot: "The life of the greatest karate master of a generation."
38	genres: Array (3)
39	title: "The Real Miyagi"
40	year: 2015
41	score: 0.768799901008606
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43	plot: "At his new high school, a rebellious teen is lured into an underground…"
44	genres: Array (3)
45	title: "Never Back Down"
46	year: 2008
47	score: 0.768179714679718
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49	score: 0.7679706811904907
50	plot: "Three young martial arts masters emerge from the back streets of Hong …"
51	genres: Array (2)
52	title: "Dragon Tiger Gate"
53	year: 2006
54
55	title: "Shaolin Soccer"
56	score: 0.7660527229309082
57	year: 2001
58	plot: "A young Shaolin follower reunites with his discouraged brothers to for…"
59	genres: Array (3)

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1	[
2	{
3	year: 1993,
4	plot: 'A botched mid-air heist results in suitcases full of cash being searched for by various groups throughout the Rocky Mountains.',
5	genres: [ 'Action', 'Adventure', 'Thriller' ],
6	title: 'Cliffhanger',
7	score: 0.7694521546363831
8	},
9	{
10	plot: 'The dying words of a thief spark a madcap cross-country rush to find some treasure.',
11	genres: [ 'Action', 'Adventure', 'Comedy' ],
12	title: "It's a Mad, Mad, Mad, Mad World",
13	year: 1963,
14	score: 0.7638954520225525
15	},
16	{
17	year: 1991,
18	plot: 'A cat burglar is forced to steal Da Vinci works of art for a world domination plot.',
19	genres: [ 'Action', 'Adventure', 'Comedy' ],
20	title: 'Hudson Hawk',
21	score: 0.7538407444953918
22	},
23	{
24	plot: 'In 1997, when the US President crashes into Manhattan, now a giant maximum security prison, a convicted bank robber is sent in for a rescue.',
25	genres: [ 'Action', 'Sci-Fi' ],
26	title: 'Escape from New York',
27	year: 1981,
28	score: 0.7487208843231201
29	},
30	{
31	plot: 'Patrick and Tony are hired by the wealthy gambler to steal the priceless Romanov stones, Russian jewels. They do it, but almost lose their lives when he double-crosses them. They turn around and get revenge.',
32	genres: [ 'Action', 'Thriller' ],
33	title: 'The Romanov Stones',
34	year: 1993,
35	score: 0.7467736005783081
36	},
37	{
38	plot: 'An attempted robbery turns to be an unexpected recruitment when two unemployed men mistakenly break into a police office instead of a store.',
39	genres: [ 'Action', 'Comedy', 'Adventure' ],
40	title: 'Crime Busters',
41	year: 1977,
42	score: 0.7437351942062378
43	},
44	{
45	plot: 'In the aftermath of the Persian Gulf War, 4 soldiers set out to steal gold that was stolen from Kuwait, but they discover people who desperately need their help.',
46	genres: [ 'Action', 'Adventure', 'Comedy' ],
47	title: 'Three Kings',
48	year: 1999,
49	score: 0.7425670623779297
50	},
51	{
52	plot: 'A professional thief is hired by the FBI to steal a data tape from a company under investigation. The analysis of this tape, will prove the criminal activities of this company. As this ...',
53	genres: [ 'Action', 'Sci-Fi', 'Thriller' ],
54	title: 'Black Moon Rising',
55	year: 1986,
56	score: 0.7397696375846863
57	},
58	{
59	plot: 'A group of heavily armed hijackers board a luxury ocean liner in the South Pacific Ocean to loot it, only to do battle with a series of large-sized, tentacled, man-eating sea creatures who have taken over the ship first.',
60	genres: [ 'Action', 'Adventure', 'Horror' ],
61	title: 'Deep Rising',
62	year: 1998,
63	score: 0.7392246127128601
64	},
65	{
66	plot: 'A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.',
67	genres: [ 'Action', 'Adventure', 'Comedy' ],
68	title: 'That Man from Rio',
69	year: 1964,
70	score: 0.7357995510101318
71	}
72	]

1	[
2	{
3	year: 2008,
4	plot: 'A young Thai boxer learns the skills and inner meaning of martial arts.',
5	genres: [ 'Action' ],
6	title: 'Ong-bak 2',
7	score: 0.7976737022399902
8	},
9	{
10	plot: 'A handyman/martial arts master agrees to teach a bullied boy karate and shows him that there is more to the martial art than fighting.',
11	genres: [ 'Action', 'Drama', 'Family' ],
12	title: 'The Karate Kid',
13	year: 1984,
14	score: 0.7929348349571228
15	},
16	{
17	plot: 'A young martial artist embarks on an adventure, encountering other martial artists in battle until one day he meets an aging blind man who will show him the true meaning of martial arts and life.',
18	genres: [ 'Action', 'Adventure', 'Fantasy' ],
19	title: 'Circle of Iron',
20	year: 1978,
21	score: 0.7852014899253845
22	},
23	{
24	plot: 'A lionized account of the life of the martial arts superstar.',
25	genres: [ 'Action', 'Biography', 'Drama' ],
26	title: 'Dragon: The Bruce Lee Story',
27	year: 1993,
28	score: 0.7763040661811829
29	},
30	{
31	plot: 'A martial arts instructor from the police force gets imprisoned after killing a man by accident. But when a vicious killer starts targeting martial arts masters, the instructor offers to help the police in return for his freedom.',
32	genres: [ 'Action', 'Thriller' ],
33	title: 'Kung Fu Killer',
34	year: 2014,
35	score: 0.7731232643127441
36	},
37	{
38	plot: 'A young woman is trained by a martial arts specialist to become a professional assassin.',
39	genres: [ 'Action', 'Crime', 'Romance' ],
40	title: 'Naked Killer',
41	year: 1992,
42	score: 0.7693743109703064
43	},
44	{
45	plot: 'The life of the greatest karate master of a generation.',
46	genres: [ 'Documentary', 'Action', 'History' ],
47	title: 'The Real Miyagi',
48	year: 2015,
49	score: 0.768799901008606
50	},
51	{
52	plot: 'At his new high school, a rebellious teen is lured into an underground fight club, where he finds a mentor in a mixed martial arts veteran.',
53	genres: [ 'Action', 'Drama', 'Sport' ],
54	title: 'Never Back Down',
55	year: 2008,
56	score: 0.768179714679718
57	},
58	{
59	plot: 'Three young martial arts masters emerge from the back streets of Hong Kong to help the powerless fight injustice.',
60	genres: [ 'Action', 'Drama' ],
61	title: 'Dragon Tiger Gate',
62	year: 2006,
63	score: 0.7679706811904907
64	},
65	{
66	year: 2001,
67	plot: 'A young Shaolin follower reunites with his discouraged brothers to form a soccer team using their martial art skills to their advantage.',
68	genres: [ 'Action', 'Comedy', 'Sport' ],
69	title: 'Shaolin Soccer',
70	score: 0.7660527229309082
71	}
72	]
73

1	{
2	"year": 1993,
3	"plot": "A botched mid-air heist results in suitcases full of cash being searched for by various groups throughout the Rocky Mountains.",
4	"genres": ["Action", "Adventure", "Thriller"],
5	"title": "Cliffhanger",
6	"score": 0.7694521546363831
7	}
8	{
9	"plot": "The dying words of a thief spark a madcap cross-country rush to find some treasure.",
10	"genres": ["Action", "Adventure", "Comedy"],
11	"title": "It's a Mad, Mad, Mad, Mad World",
12	"year": 1963,
13	"score": 0.7638954520225525
14	}
15	{
16	"year": 1991,
17	"plot": "A cat burglar is forced to steal Da Vinci works of art for a world domination plot.",
18	"genres": ["Action", "Adventure", "Comedy"],
19	"title": "Hudson Hawk",
20	"score": 0.7538407444953918
21	}
22	{
23	"plot": "In 1997, when the US President crashes into Manhattan, now a giant maximum security prison, a convicted bank robber is sent in for a rescue.",
24	"genres": ["Action", "Sci-Fi"],
25	"title": "Escape from New York",
26	"year": 1981,
27	"score": 0.7487208843231201
28	}
29	{
30	"plot": "Patrick and Tony are hired by the wealthy gambler to steal the priceless Romanov stones, Russian jewels. They do it, but almost lose their lives when he double-crosses them. They turn around and get revenge.",
31	"genres": ["Action", "Thriller"],
32	"title": "The Romanov Stones",
33	"year": 1993,
34	"score": 0.7467736005783081
35	}
36	{
37	"plot": "An attempted robbery turns to be an unexpected recruitment when two unemployed men mistakenly break into a police office instead of a store.",
38	"genres": ["Action", "Comedy", "Adventure"],
39	"title": "Crime Busters",
40	"year": 1977,
41	"score": 0.7437351942062378
42	}
43	{
44	"plot": "In the aftermath of the Persian Gulf War, 4 soldiers set out to steal gold that was stolen from Kuwait, but they discover people who desperately need their help.",
45	"genres": ["Action", "Adventure", "Comedy"],
46	"title": "Three Kings",
47	"year": 1999,
48	"score": 0.7425670623779297
49	}
50	{
51	"plot": "A professional thief is hired by the FBI to steal a data tape from a company under investigation. The analysis of this tape, will prove the criminal activities of this company. As this ...",
52	"genres": ["Action", "Sci-Fi", "Thriller"],
53	"title": "Black Moon Rising",
54	"year": 1986,
55	"score": 0.7397696375846863
56	}
57	{
58	"plot": "A group of heavily armed hijackers board a luxury ocean liner in the South Pacific Ocean to loot it, only to do battle with a series of large-sized, tentacled, man-eating sea creatures who have taken over the ship first.",
59	"genres": ["Action", "Adventure", "Horror"],
60	"title": "Deep Rising",
61	"year": 1998,
62	"score": 0.7392246127128601
63	}
64	{
65	"plot": "A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.",
66	"genres": ["Action", "Adventure", "Comedy"],
67	"title": "That Man from Rio",
68	"year": 1964,
69	"score": 0.7357995510101318
70	}

1	{
2	"year": 2008,
3	"plot": "A young Thai boxer learns the skills and inner meaning of martial arts.",
4	"genres": ["Action"],
5	"title": "Ong-bak 2",
6	"score": 0.7976737022399902
7	}
8	{
9	"plot": "A handyman/martial arts master agrees to teach a bullied boy karate and shows him that there is more to the martial art than fighting.",
10	"genres": ["Action", "Drama", "Family"],
11	"title": "The Karate Kid",
12	"year": 1984,
13	"score": 0.7929348349571228
14	}
15	{
16	"plot": "A young martial artist embarks on an adventure, encountering other martial artists in battle until one day he meets an aging blind man who will show him the true meaning of martial arts and life.",
17	"genres": ["Action", "Adventure", "Fantasy"],
18	"title": "Circle of Iron",
19	"year": 1978,
20	"score": 0.7852014899253845
21	}
22	{
23	"plot": "A lionized account of the life of the martial arts superstar.",
24	"genres": ["Action", "Biography", "Drama"],
25	"title": "Dragon: The Bruce Lee Story",
26	"year": 1993,
27	"score": 0.7763040661811829
28	}
29	{
30	"plot": "A martial arts instructor from the police force gets imprisoned after killing a man by accident. But when a vicious killer starts targeting martial arts masters, the instructor offers to help the police in return for his freedom.",
31	"genres": ["Action", "Thriller"],
32	"title": "Kung Fu Killer",
33	"year": 2014,
34	"score": 0.7731232643127441
35	}
36	{
37	"plot": "A young woman is trained by a martial arts specialist to become a professional assassin.",
38	"genres": ["Action", "Crime", "Romance"],
39	"title": "Naked Killer",
40	"year": 1992,
41	"score": 0.7693743109703064
42	}
43	{
44	"plot": "The life of the greatest karate master of a generation.",
45	"genres": ["Documentary", "Action", "History"],
46	"title": "The Real Miyagi",
47	"year": 2015,
48	"score": 0.768799901008606
49	}
50	{
51	"plot": "At his new high school, a rebellious teen is lured into an underground fight club, where he finds a mentor in a mixed martial arts veteran.",
52	"genres": ["Action", "Drama", "Sport"],
53	"title": "Never Back Down",
54	"year": 2008,
55	"score": 0.768179714679718
56	}
57	{
58	"plot": "Three young martial arts masters emerge from the back streets of Hong Kong to help the powerless fight injustice.",
59	"genres": ["Action", "Drama"],
60	"title": "Dragon Tiger Gate",
61	"year": 2006,
62	"score": 0.7679706811904907
63	}
64	{
65	"year": 2001,
66	"plot": "A young Shaolin follower reunites with his discouraged brothers to form a soccer team using their martial art skills to their advantage.",
67	"genres": ["Action", "Comedy", "Sport"],
68	"title": "Shaolin Soccer",
69	"score": 0.7660527229309082
70	}

先决条件

注意

创建 Atlas Vector Search 索引

必需的访问权限

步骤

在 Atlas.css-h15tq0{font-style:normal;font-weight:700;}Clusters 中，转到项目的 页面。

转到集群的 Atlas Search 页面。

定义 Atlas Vector Search 索引。

定义 Atlas Vector Search 索引。

查看索引定义，然后单击Create Search Index 。

Close单击 关闭You're All Set! 模式窗口，并等待索引完成构建。

使用$vectorSearch 聚合管道阶段运行查询

Overview

步骤

在 AtlasClusters 中，转到项目的 页面。

转到Collections 页面。

转到集合的Aggregation 标签页。

针对索引字段运行 Atlas Vector Search 搜索查询。

注意

展开查询结果。

连接到mongosh 中的集群。

切换到sample_mflix 数据库。

针对索引字段运行语义Atlas Search查询。

确保您的CLASSPATH 包含以下库。

创建名为AtlasVectorSearchTutorial.java 的文件。

将要尝试的预过滤器操作符的代码复制并粘贴到AtlasVectorSearchTutorial.java 文件中。

注意

将 替换为<connection-string> Atlas 连接字符串，然后保存文件。

编译并运行AtlasVectorSearchTutorial.java 文件。

创建名为atlas-vector-search-tutorial.js 的文件。

将您想要尝试的预过滤操作符的示例查询复制并粘贴到atlas-vector-search-tutorial.js 文件中。

替换查询中的<connection-string> ，然后保存文件。

查询您的集合。

创建名为atlas-vector-search-tutorial.py 的文件。

将您想要尝试的预过滤操作符的查询复制并粘贴到atlas-vector-search-tutorial.py 文件中。

替换查询中的<connection-string> ，然后保存文件。

运行命令以查询您的集合。

在 AtlasClusters 中，转到项目的页面。

Close单击关闭You're All Set! 模式窗口，并等待索引完成构建。

使用`$vectorSearch` 聚合管道阶段运行查询

在 AtlasClusters 中，转到项目的页面。

连接到`mongosh` 中的集群。

切换到`sample_mflix` 数据库。

确保您的`CLASSPATH` 包含以下库。

创建名为`AtlasVectorSearchTutorial.java` 的文件。

将要尝试的预过滤器操作符的代码复制并粘贴到`AtlasVectorSearchTutorial.java` 文件中。

将替换为`<connection-string>` Atlas 连接字符串，然后保存文件。

编译并运行`AtlasVectorSearchTutorial.java` 文件。

创建名为`atlas-vector-search-tutorial.js` 的文件。

将您想要尝试的预过滤操作符的示例查询复制并粘贴到`atlas-vector-search-tutorial.js` 文件中。

替换查询中的`<connection-string>` ，然后保存文件。

创建名为`atlas-vector-search-tutorial.py` 的文件。

将您想要尝试的预过滤操作符的查询复制并粘贴到`atlas-vector-search-tutorial.py` 文件中。

替换查询中的`<connection-string>` ，然后保存文件。