运行向量搜索查询

在此页面上

定义

ANN 搜索
ENN 搜索
语法
字段
行为
Atlas Vector Search 索引
Atlas Vector Search 分数
Atlas Vector Search 预筛选
Considerations
限制
支持的客户端
跨分段执行并行查询
示例
ANN 示例
ENN 示例

Atlas Vector Search 查询采用聚合管道阶段的形式。对于$vectorSearch查询， Atlas Vector Search返回语义Atlas Search的结果。

注意

Atlas Vector Search 支持在运行 MongoDB 6.0.11、7.0.2 或更高版本的集群上进行 ANN 搜索，并在运行 MongoDB 6.0.16、7.0.10、7.3.2 或更高版本的集群上进行 ENN 搜索。

定义

$vectorSearch 阶段对指定字段中的向量执行 ANN 或 ENN 搜索。

近似最近邻 (ANN) 搜索

对于 ANN 搜索，Atlas Vector Search 会根据多维空间中向量嵌入的接近度以及所考虑的近邻数量，在数据中找到与查询中的向量嵌入最接近的向量嵌入。它使用分层导航小世界算法，并在不扫描每个向量的情况下查找与查询中的向量嵌入最相似的向量嵌入。因此，ANN 搜索非常适合查询无需大量过滤的大型数据集。

精确最近邻 (ENN) 搜索

对于 ENN 搜索，Atlas Vector Search 通过计算所有嵌入之间的距离来详尽地搜索所有索引的向量嵌入，并找到查询中矢量嵌入的确切最近邻。这需要大量计算，可能会对查询延迟产生负面影响。因此，我们建议在 ENN 中搜索以下使用案例：

您希望使用ANN 查询的理想精确结果来确定 ENN 查询的调用率和准确率。
您希望查询少于 10000 个文档，而不必调整要考虑的最近邻的数量。
您希望在查询中包含选择性的预过滤条件，针对那些少于 5% 的数据满足给定预过滤条件的集合。

语法

要搜索的字段必须在 vectorSearch 索引类型内作为 Atlas Vector Search 向量类型进行索引。

$vectorSearch

$vectorSearch 管道采用以下原型形式：

{
  "$vectorSearch": {
    "exact": true | false,
    "filter": {<filter-specification>},
    "index": "<index-name>",
    "limit": <number-of-results>,
    "numCandidates": <number-of-candidates>,
    "path": "<field-to-search>",
    "queryVector": [<array-of-numbers>]
  }
}

字段

$vectorSearch 阶段采用包含以下字段的文档：

字段	类型	必要性	说明
`exact`	布尔	Optional	如果已省略 `numCandidates`，则此为必填项。该标志指定是运行 ENN 还是 ANN 搜索。值可以是以下值之一： `false` - 运行 ANN 搜索 `true` - 运行 ENN 搜索如果省略，则默认值为 `false`。运行 MongoDB 6.0.16、7.0.10、7.32 或更高版本的 Atlas 集群支持 ENN 搜索。
`filter`	文档	Optional	将索引字段与布尔值、日期、objectId、数字（非小数）、字符串或 UUID 进行比较以用作预过滤器的任何 MQL 匹配表达式。要了解 Atlas Vector Search 在过滤器中支持哪些查询和聚合管道操作符，请参阅 Atlas Vector Search 预过滤器。
`index`	字符串	必需	要使用的 Atlas Vector Search 索引的名称。如果您写错索引名称，或者指定的索引在集群上尚不存在，则 Atlas Vector Search 不会返回结果。
`limit`	数字	必需	要在结果中返回的文档数量（仅限 `int`）。如果指定 `numCandidates`，该值不能超过 `numCandidates` 的值。
`numCandidates`	数字	Optional	如果 `exact` 是 `false` 或被省略，则此字段为必填字段。搜索期间要使用的最近邻数量。值必须小于或等于 (`<=`) `10000`。指定的数字不能小于要返回的文档数量 (`limit`)。我们建议您指定一个大于要返回的文档数 (`limit`) 的数字以提高准确性，尽管这可能会影响延迟。例如，对于只限制一个文档的情况，我们建议将最近邻的比率设置为 10:20。这种过度请求模式是在 aNN 搜索中平衡延迟和召回的推荐方法，建议根据特定数据集进行调整。
`path`	字符串	必需	要搜索的索引向量类型字段。要了解更多信息，请参阅路径构造。
`queryVector`	数字数组	必需	表示查询向量的 BSON`double`、BSON BinData`vector` 子类型 `float32` 或 BSON BinData`vector` 子类型 `int8` 类型的数字数组。数字类型必须与索引字段值类型匹配。否则，Atlas Vector Search 不会返回任何结果或错误。要学习；了解有关为查询生成BSON BinData`vector` 子类型`float32` 或`vector` 子类型`int8` 向量的更多信息，请参阅如何摄取量化向量。数组大小必须与字段的索引定义中指定的向量 `dimensions` 的数量相匹配。您必须使用用于嵌入数据的同一模型来嵌入查询。

行为

$vectorSearch 必须是其所在的任何管道中的第一阶段。

Atlas Vector Search 索引

必须使用 $vectorSearch vectorSearch 类型索引定义中的阶段对要搜索的字段建立索引。您可以在 Atlas Vector Search vectorSearch 类型索引定义中对以下类型的字段建立索引：

包含向量嵌入作为向量类型的字段。
包含布尔值、日期、objectId、数值、字符串和 UUID 值作为过滤类型的字段，以启用对预过滤数据的向量搜索。

要了解有关这些 Atlas Vector Search 字段类型的更多信息，请参阅如何为向量搜索的字段进行索引。

Atlas Vector Search 分数

Atlas Vector Search 为其返回的每个文档分配一个固定范围内的分数，范围为 0 到 1（其中 0 表示低相似度，1 表示高相似度）。对于 cosine 和 dotProduct 的相似度，Atlas Vector Search 会对分数进行归一化处理，确保分数不为负数。

对于 cosine，Atlas Vector Search 使用以下算法对分数进行归一化处理：

score = (1 + cosine(v1,v2)) / 2

对于 dotProduct，Atlas Vector Search 使用以下算法对分数进行归一化处理：

score = (1 + dotProduct(v1,v2)) / 2

这些算法表明，Atlas Vector Search 通过考虑文档向量 ( v1 ) 和查询向量 ( v2 ) 的相似度分数（范围为 [ -1 , 1 ]）对分数进行归一化处理。Atlas Vector Search 将 1 添加到相似度分数中，将分数标准化为一个范围 [0, 2]，然后除以 2，确保值介于 0 和 1 之间。

对于 euclidean 相似度，Atlas Vector Search 使用以下算法对分数进行归一化处理，确保值介于 0 和 1 之间：

score = 1 / (1 + euclidean(v1,v2))

上述算法表明，Atlas Vector Search 通过计算欧几里得距离对分数进行归一化处理，欧几里得距离是文档向量 (v1) 和范围为 [0, ∞] 的查询向量 (v2) 之间的距离。然后，Atlas Vector Search 通过在距离上加上 1 将距离转换为相似度分数，然后将 1 除以相似度分数，确保值介于 0 和 1 之间。

分配给返回文档的分数是文档元数据的一部分。要包括每个返回文档的分数以及结果集，则在聚合管道中使用 $project 阶段。

要检索 Atlas Vector Search 查询结果的得分，请使用vectorSearchScore 作为 $meta 表达式中的值。也就是说，在 $vectorSearch 阶段之后的 $project 阶段，score 字段使用 $meta 表达式。该表达式需要 vectorSearchScore 值来返回向量搜索的文档分数。

例子

1 db.<collection>.aggregate([
2   {
3     "$vectorSearch": {
4       <query-syntax>
5     }
6   },
7   {
8     "$project": {
9       "<field-to-include>": 1,
10       "<field-to-exclude>": 0,
11       "score": { "$meta": "vectorSearchScore" }
12     }
13   }
14 ])

注意

对数据进行预过滤不会影响 Atlas Vector Search 使用 $vectorSearchScore 进行 $vectorSearch 查询时返回的分数。

Atlas Vector Search 预筛选

$vectorSearchfilter 选项仅匹配 BSON 布尔值、日期值、objectId 、数值、字符串和 UUID 值。您必须将要用于过滤数据的字段作为 vectorSearch 类型索引定义中的过滤类型进行索引。过滤数据有助于缩小语义搜索的范围，并确保不会考虑将所有向量进行比较。

Atlas Vector Search 支持以下 MQL 匹配表达式的 $vectorSearch filter 选项：

$vectorSearch filter 选项仅支持以下聚合管道操作符：

注意

$vectorSearch filter 选项不支持其他查询操作符、聚合管道操作符或 Atlas Search 操作符。

Considerations

Atlas Vector Search 支持 $eq 的简写形式。在简写形式中，您不需要在查询中指定 $eq。

例子

例如，考虑以下带有 $eq 的过滤器：

"filter": { "_id": { "$eq": ObjectId("5a9427648b0beebeb69537a5") }

您可以使用 $eq 的简写形式运行前面的查询，方法如下：

"filter": { "_id": ObjectId("5a9427648b0beebeb69537a5") }

您还可以使用 $and 操作符在单个查询中指定一组过滤器。

例子

例如，考虑以下预过滤器，用于 genres 字段等于 Action 和 year 字段值为 1999、2000 或 2001 的文档：

"filter": {
  "$and": [
    { "genres": "Action" },
    { "year": { "$in": [ 1999, 2000, 2001 ] } }
  ]
}

限制

$vectorSearch 仅适用于运行以下 MongoDB 版本的 Atlas 集群：

v 6.0.11
v7.0.2 及更高版本（包括 RC）。

$vectorSearch 不能用于视图定义和后续管道阶段：

$lookup 子管道
$unionWith 子管道
$facet 管道阶段

您可以将 $vectorSearch 的结果传递到该阶段。

支持的客户端

$vectorSearch您可以使用Atlas用户界面、mongosh 和任何MongoDB驾驶员运行查询。

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。

跨分段执行并行查询

我们建议使用专用的搜索节点来隔离向量搜索查询处理。您可能会发现专用搜索节点的查询性能有所提高。请注意，高 CPU 系统可能会提供更多的性能改进。当 Atlas Vector Search 在搜索节点上运行时，Atlas Vector Search 会跨数据段并行执行查询。

在很多情况下，查询处理的并行化可以缩短响应时间，例如对大型数据集的查询。在 Atlas Vector Search 查询处理期间使用查询内并行会占用更多资源，但有助于改善每个单独查询的延迟问题。

注意

Atlas Vector Search 不保证每个查询都会同时运行。例如，当排队的并发查询过多时，Atlas Vector Search 可能会回退到单线程执行。

对于相同的连续查询，您可能会看到不一致的结果。要减少这种情况，请在 $vectorSearch 查询中增加 numCandidates 的值。

示例

以下查询使用 $vectorSearch 阶段搜索示例 sample_mflix.embedded_movies 集合。查询搜索 plot_embedding 字段，其中包含使用 OpenAI 的 text-embedding-ada-002 嵌入模型创建的嵌入。如果已将示例集合添加到 Atlas 集群，并为该集合创建示例索引，则可以对该集合运行以下查询。

注意

将示例代码中的 queryVector 粘贴到您的终端可能需要一段时间，具体取决于您的设备。

➤ 使用选择语言下拉菜单设置此页面中示例的语言。

ANN 示例

以下查询使用 $vectorSearch 阶段通过向量嵌入在 plot_embedding 字段中搜索 time travel 字符串。它最多考虑 150 个最近邻，并在结果中返回 10 个文档。该查询还指定了一个 $project 阶段以执行以下操作：

在结果中排除 _id 字段并仅包含 plot 和 title 字段。
添加名为 score 的字段，以显示结果中的每个文档的向量搜索分数。

1 db.embedded_movies.aggregate([
2   {
3     "$vectorSearch": {
4       "index": "vector_index",
5       "path": "plot_embedding",
6       "queryVector": 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8       "limit": 10
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10   },
11   {
12     "$project": {
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16       "score": { $meta: "vectorSearchScore" }
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1 [
2   {
3     plot: 'A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.',
4     title: 'Thrill Seekers',
5     score: 0.7892671227455139
6   },
7   {
8     plot: 'At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.',
9     title: 'About Time',
10     score: 0.7843604683876038
11   },
12   {
13     plot: 'Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.',
14     title: 'The Time Machine',
15     score: 0.7801066637039185
16   },
17   {
18     plot: "After using his mother's newly built time machine, Dolf gets stuck involuntary in the year 1212. He ends up in a children's crusade where he confronts his new friends with modern techniques...",
19     title: 'Crusade in Jeans',
20     score: 0.7789170742034912
21   },
22   {
23     plot: 'An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.',
24     title: 'Timecop',
25     score: 0.7771612405776978
26   },
27   {
28     plot: 'A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...',
29     title: 'A.P.E.X.',
30     score: 0.7730885744094849
31   },
32   {
33     plot: "Agent J travels in time to M.I.B.'s early days in 1969 to stop an alien from assassinating his friend Agent K and changing history.",
34     title: 'Men in Black 3',
35     score: 0.7712380886077881
36   },
37   {
38     plot: 'Bound by a shared destiny, a teen bursting with scientific curiosity and a former boy-genius inventor embark on a mission to unearth the secrets of a place somewhere in time and space that exists in their collective memory.',
39     title: 'Tomorrowland',
40     score: 0.7669923901557922
41   },
42   {
43     plot: 'With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.',
44     title: 'Love Story 2050',
45     score: 0.7649372816085815
46   },
47   {
48     plot: 'A dimension-traveling wizard gets stuck in the 21st century because cell-phone radiation interferes with his magic. With his home world on the brink of war, he seeks help from a jaded ...',
49     title: 'The Portal',
50     score: 0.7640786170959473
51   }
52 ]

以下查询筛选在一月 01, 1955 和 01, 1975 之间上映的电影的文档，然后再对样本向量数据执行语义Atlas Search 。它使用$and操作符对指定日期执行逻辑AND操作。然后，它使用向量嵌入string在筛选后的文档中的 plot_embedding 字段以查找 150 个最近邻，并在结果中返回 10 个文档。该查询还指定了一个$project阶段来执行以下操作：

结果中排除_id字段，仅包含plot 、 title和year字段。
添加名为 score 的字段，显示结果中文档的Atlas Vector Search分数。

1 db.embedded_movies.aggregate([
2   {
3     "$vectorSearch": {
4       "index": "vector-search-tutorial",
5       "path": "plot_embedding",
6       "filter": {
7         "$and": [
8           {
9             "year": {  "$gt": 1955  }
10           }, 
11           {
12             "year": {  "$lt": 1975 }
13           }
14         ]
15       },
16       "queryVector": 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21   {
22     "$project": {
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27       "score": { $meta: "vectorSearchScore" }
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1 [
2   {
3     plot: 'In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...',
4     title: 'Peter Pan',
5     year: 1960,
6     score: 0.748110830783844
7   },
8   {
9     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.',
10     title: 'Chitty Chitty Bang Bang',
11     year: 1968,
12     score: 0.7442465424537659
13   },
14   {
15     plot: 'A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.',
16     title: 'That Man from Rio',
17     year: 1964,
18     score: 0.7416020035743713
19   },
20   {
21     plot: 'A pilot, stranded in the desert, meets a little boy who is a prince on a planet.',
22     title: 'The Little Prince',
23     year: 1974,
24     score: 0.7378944158554077
25   },
26   {
27     plot: 'A red balloon with a life of its own follows a little boy around the streets of Paris.',
28     title: 'The Red Balloon',
29     year: 1956,
30     score: 0.7342712879180908
31   },
32   {
33     plot: 'A poor boy wins the opportunity to tour the most eccentric and wonderful candy factory of all.',
34     title: 'Willy Wonka & the Chocolate Factory',
35     year: 1971,
36     score: 0.7342107892036438
37   },
38   {
39     plot: 'An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.',
40     title: 'Bedknobs and Broomsticks',
41     year: 1971,
42     score: 0.7339356541633606
43   },
44   {
45     plot: "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.",
46     title: 'Pastoral Hide and Seek',
47     year: 1974,
48     score: 0.733299970626831
49   },
50   {
51     plot: 'A young swordsman comes to Paris and faces villains, romance, adventure and intrigue with three Musketeer friends.',
52     title: 'The Three Musketeers',
53     year: 1973,
54     score: 0.7331198453903198
55   },
56   {
57     plot: 'A fairy-tale about a conceited young man and a young woman with a tyrannical step-mother, who must overcome magical trials in order to be together.',
58     title: 'Frosty',
59     year: 1964,
60     score: 0.7318308353424072
61   }
62 ]

Atlas Vector Search 根据介于 1955 和 1975 之间的 year 字段值过滤文档。它返回在 1955 和 1975 之间上映的电影中总结儿童冒险情节的文档。

提示

另请参阅：其他筛选器示例

如何对 Atlas Cluster 中的数据执行语义搜索教程演示了针对 sample_mflix.embedded_movies 集合中嵌入数据的语义搜索查询中的其他预过滤器。

在结果中排除 _id 字段并仅包含 plot 和 title 字段。
添加名为 score 的字段，以显示结果中的每个文档的向量搜索分数。

1 using MongoDB.Bson;
2 using MongoDB.Bson.Serialization.Attributes;
3 using MongoDB.Bson.Serialization.Conventions;
4 using MongoDB.Driver;
5 
6 public class vectorSearchBasicQuery 
7 {
8   // define connection to your Atlas cluster
9   private const string MongoConnectionString = "<connection-string>";
10 
11   public static void Main(string[] args){
12     var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
13     ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
14 
15     // connect to your Atlas cluster
16     var mongoClient = new MongoClient(MongoConnectionString);
17 
18     // define namespace
19     var moviesDatabase = mongoClient.GetDatabase("sample_mflix");
20     var moviesCollection = moviesDatabase.GetCollection<EmbeddedMovie>("embedded_movies");
21 
22     // define vector embeddings to search
23     var vector = new[] 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24     var options = new VectorSearchOptions<EmbeddedMovie>() {
25         IndexName = "vector_index",
26         NumberOfCandidates = 150
27     };
28 
29     // run query
30     var results = moviesCollection.Aggregate()
31                 .VectorSearch(movie => movie.Embedding, vector, 10, options)
32                 .Project(Builders<EmbeddedMovie>.Projection
33                   .Include(movie => movie.Title)
34                   .Include(movie => movie.Plot)
35                   .Exclude(movie => movie.Id)
36                   .MetaVectorSearchScore(movie => movie.Score))
37                 .ToList();
38 
39     // print results
40     foreach (var movie in results)
41       {
42         Console.WriteLine(movie.ToJson());
43       }
44   }
45 }
46 
47 [BsonIgnoreExtraElements]
48 public class EmbeddedMovie
49 {
50     [BsonIgnoreIfDefault]
51     public ObjectId Id { get; set; }
52     public string Title { get; set; }
53     public string Plot { get; set; }
54     [BsonElement("plot_embedding")]
55     public double[] Embedding { get; set; }
56     public double Score { get; set; }
57 }

1 { "plot" : "A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.", "title" : "Thrill Seekers", "score" : 0.78926712274551392 }
2 { "plot" : "At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.", "title" : "About Time", "score" : 0.78436046838760376 }
3 { "plot" : "Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.", "title" : "The Time Machine", "score" : 0.78010666370391846 }
4 { "plot" : "After using his mother's newly built time machine, Dolf gets stuck involuntary in the year 1212. He ends up in a children's crusade where he confronts his new friends with modern techniques...", "title" : "Crusade in Jeans", "score" : 0.77891707420349121 }
5 { "plot" : "An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.", "title" : "Timecop", "score" : 0.77716124057769775 }
6 { "plot" : "A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...", "title" : "A.P.E.X.", "score" : 0.77308857440948486 }
7 { "plot" : "Agent J travels in time to M.I.B.'s early days in 1969 to stop an alien from assassinating his friend Agent K and changing history.", "title" : "Men in Black 3", "score" : 0.77123808860778809 }
8 { "plot" : "Bound by a shared destiny, a teen bursting with scientific curiosity and a former boy-genius inventor embark on a mission to unearth the secrets of a place somewhere in time and space that exists in their collective memory.", "title" : "Tomorrowland", "score" : 0.76699239015579224 }
9 { "plot" : "With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.", "title" : "Love Story 2050", "score" : 0.76493728160858154 }
10 { "plot" : "A dimension-traveling wizard gets stuck in the 21st century because cell-phone radiation interferes with his magic. With his home world on the brink of war, he seeks help from a jaded ...", "title" : "The Portal", "score" : 0.76407861709594727 }

结果中排除_id字段，仅包含plot 、 title和year字段。
添加名为 score 的字段，显示结果中文档的Atlas Vector Search分数。

1 using System.Reflection.Emit;
2 using MongoDB.Bson;
3 using MongoDB.Bson.Serialization.Attributes;
4 using MongoDB.Bson.Serialization.Conventions;
5 using MongoDB.Driver;
6 using MongoDB.Driver.Search;
7 
8 public class vectorSearchFilterQuery 
9 {
10   // define connection to your Atlas cluster
11   private const string MongoConnectionString = "<connection-string>";
12 
13   public static void Main(string[] args){
14     var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
15     ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
16 
17     // connect to your Atlas cluster
18     var mongoClient = new MongoClient(MongoConnectionString);
19 
20     // define namespace
21     var moviesDatabase = mongoClient.GetDatabase("sample_mflix");
22     var moviesCollection = moviesDatabase.GetCollection<EmbeddedMovie>("embedded_movies");
23 
24     // define vector embeddings to search
25     var vector = new[] 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26     // define filter
27     var yearGtFilter = Builders<EmbeddedMovie>.Filter.Gt("year", 1955);
28     var yearLtFilter = Builders<EmbeddedMovie>.Filter.Lt("year", 1975);
29     // define options 
30     var options = new VectorSearchOptions<EmbeddedMovie>() {
31         Filter = Builders<EmbeddedMovie>.Filter.And(yearGtFilter, yearLtFilter),
32         IndexName = "vector_index",
33         NumberOfCandidates = 150
34     };
35 
36     // run query
37     var results = moviesCollection.Aggregate()
38                 .VectorSearch(m => m.Embedding, vector, 10, options)
39                 .Project(Builders<EmbeddedMovie>.Projection
40                   .Include(m => m.Title)
41                   .Include(movie => movie.Plot)
42                   .Include(movie => movie.Year)
43                   .MetaVectorSearchScore(m => m.Score))
44                 .ToList();
45 
46     // print results
47     foreach (var movie in results)
48       {
49         Console.WriteLine(movie.ToJson());
50       }
51   }
52 }
53 
54 [BsonIgnoreExtraElements]
55 public class EmbeddedMovie
56 {
57     [BsonIgnoreIfDefault]
58     public string Title { get; set; }
59     public string Plot { get; set; }
60     public int Year { get; set; }
61     [BsonElement("plot_embedding")]
62     public double[] Embedding { get; set; }
63     public double Score { get; set; }
64 }

1 { "_id" : ObjectId("573a1395f29313caabce143b"), "plot" : "In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...", "title" : "Peter Pan", "year" : 1960, "score" : 0.74811083078384399 }
2 { "_id" : ObjectId("573a1396f29313caabce34d3"), "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.", "title" : "Chitty Chitty Bang Bang", "year" : 1968, "score" : 0.74424654245376587 }
3 { "_id" : ObjectId("573a1395f29313caabce23cb"), "plot" : "A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.", "title" : "That Man from Rio", "year" : 1964, "score" : 0.74160200357437134 }
4 { "_id" : ObjectId("573a1396f29313caabce5648"), "plot" : "A pilot, stranded in the desert, meets a little boy who is a prince on a planet.", "title" : "The Little Prince", "year" : 1974, "score" : 0.73789441585540771 }
5 { "_id" : ObjectId("573a1394f29313caabce000d"), "plot" : "A red balloon with a life of its own follows a little boy around the streets of Paris.", "title" : "The Red Balloon", "year" : 1956, "score" : 0.73427128791809082 }
6 { "_id" : ObjectId("573a1396f29313caabce482f"), "plot" : "A poor boy wins the opportunity to tour the most eccentric and wonderful candy factory of all.", "title" : "Willy Wonka & the Chocolate Factory", "year" : 1971, "score" : 0.7342107892036438 }
7 { "_id" : ObjectId("573a1396f29313caabce43e1"), "plot" : "An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.", "title" : "Bedknobs and Broomsticks", "year" : 1971, "score" : 0.7339356541633606 }
8 { "_id" : ObjectId("573a1396f29313caabce54e6"), "plot" : "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", "title" : "Pastoral Hide and Seek", "year" : 1974, "score" : 0.73329997062683105 }
9 { "_id" : ObjectId("573a1396f29313caabce582d"), "plot" : "A young swordsman comes to Paris and faces villains, romance, adventure and intrigue with three Musketeer friends.", "title" : "The Three Musketeers", "year" : 1973, "score" : 0.73311984539031982 }
10 { "_id" : ObjectId("573a1395f29313caabce243e"), "plot" : "A fairy-tale about a conceited young man and a young woman with a tyrannical step-mother, who must overcome magical trials in order to be together.", "title" : "Frosty", "year" : 1964, "score" : 0.73183083534240723 }

Atlas Vector Search 根据介于 1955 和 1975 之间的 year 字段值过滤文档。它返回在 1955 和 1975 之间上映的电影中总结儿童冒险情节的文档。

提示

另请参阅：其他筛选器示例

如何对 Atlas Cluster 中的数据执行语义搜索教程演示了针对 sample_mflix.embedded_movies 集合中嵌入数据的语义搜索查询中的其他预过滤器。

在结果中排除 _id 字段并仅包含 plot 和 title 字段。
添加名为 score 的字段，以显示结果中的每个文档的向量搜索分数。

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 := [1536]float64{
31 		-0.0016261312, -0.028070757, -0.011342932, -0.012775794, -0.0027440966, 0.008683807, -0.02575152, -0.02020668, -0.010283281, -0.0041719596, 0.021392956, 0.028657231, -0.006634482, 0.007490867, 0.018593878, 0.0038187427, 0.029590257, -0.01451522, 0.016061379, 0.00008528442, -0.008943722, 0.01627464, 0.024311995, -0.025911469, 0.00022596726, -0.008863748, 0.008823762, -0.034921836, 0.007910728, -0.01515501, 0.035801545, -0.0035688248, -0.020299982, -0.03145631, -0.032256044, -0.028763862, -0.0071576433, -0.012769129, 0.012322609, -0.006621153, 0.010583182, 0.024085402, -0.001623632, 0.007864078, -0.021406285, 0.002554159, 0.012229307, -0.011762793, 0.0051682983, 0.0048484034, 0.018087378, 0.024325324, -0.037694257, -0.026537929, -0.008803768, -0.017767483, -0.012642504, -0.0062712682, 0.0009771782, -0.010409906, 0.017754154, -0.004671795, -0.030469967, 0.008477209, -0.005218282, -0.0058480743, -0.020153364, -0.0032805866, 0.004248601, 0.0051449724, 0.006791097, 0.007650814, 0.003458861, -0.0031223053, -0.01932697, -0.033615597, 0.00745088, 0.006321252, -0.0038154104, 0.014555207, 0.027697546, -0.02828402, 0.0066711367, 0.0077107945, 0.01794076, 0.011349596, -0.0052715978, 0.014755142, -0.019753495, -0.011156326, 0.011202978, 0.022126047, 0.00846388, 0.030549942, -0.0041386373, 0.018847128, -0.00033655585, 0.024925126, -0.003555496, -0.019300312, 0.010749794, 0.0075308536, -0.018287312, -0.016567878, -0.012869096, -0.015528221, 0.0078107617, -0.011156326, 0.013522214, -0.020646535, -0.01211601, 0.055928253, 0.011596181, -0.017247654, 0.0005939711, -0.026977783, -0.003942035, -0.009583511, -0.0055248477, -0.028737204, 0.023179034, 0.003995351, 0.0219661, -0.008470545, 0.023392297, 0.010469886, -0.015874773, 0.007890735, -0.009690142, -0.00024970944, 0.012775794, 0.0114762215, 0.013422247, 0.010429899, -0.03686786, -0.006717788, -0.027484283, 0.011556195, -0.036068123, -0.013915418, -0.0016327957, 0.0151016945, -0.020473259, 0.004671795, -0.012555866, 0.0209531, 0.01982014, 0.024485271, 0.0105431955, -0.005178295, 0.033162415, -0.013795458, 0.007150979, 0.010243294, 0.005644808, 0.017260984, -0.0045618312, 0.0024725192, 0.004305249, -0.008197301, 0.0014203656, 0.0018460588, 0.005015015, -0.011142998, 0.01439526, 0.022965772, 0.02552493, 0.007757446, -0.0019726837, 0.009503538, -0.032042783, 0.008403899, -0.04609149, 0.013808787, 0.011749465, 0.036388017, 0.016314628, 0.021939443, -0.0250051, -0.017354285, -0.012962398, 0.00006107364, 0.019113706, 0.03081652, -0.018114036, -0.0084572155, 0.009643491, -0.0034721901, 0.0072642746, -0.0090636825, 0.01642126, 0.013428912, 0.027724205, 0.0071243206, -0.6858542, -0.031029783, -0.014595194, -0.011449563, 0.017514233, 0.01743426, 0.009950057, 0.0029706885, -0.015714826, -0.001806072, 0.011856096, 0.026444625, -0.0010663156, -0.006474535, 0.0016161345, -0.020313311, 0.0148351155, -0.0018393943, 0.0057347785, 0.018300641, -0.018647194, 0.03345565, -0.008070676, 0.0071443142, 0.014301958, 0.0044818576, 0.003838736, -0.007350913, -0.024525259, -0.001142124, -0.018620536, 0.017247654, 0.007037683, 0.010236629, 0.06046009, 0.0138887605, -0.012122675, 0.037694257, 0.0055081863, 0.042492677, 0.00021784494, -0.011656162, 0.010276617, 0.022325981, 0.005984696, -0.009496873, 0.013382261, -0.0010563189, 0.0026507939, -0.041639622, 0.008637156, 0.026471283, -0.008403899, 0.024858482, -0.00066686375, -0.0016252982, 0.027590916, 0.0051449724, 0.0058647357, -0.008743787, -0.014968405, 0.027724205, -0.011596181, 0.0047650975, -0.015381602, 0.0043718936, 0.002159289, 0.035908177, -0.008243952, -0.030443309, 0.027564257, 0.042625964, -0.0033688906, 0.01843393, 0.019087048, 0.024578573, 0.03268257, -0.015608194, -0.014128681, -0.0033538956, -0.0028757197, -0.004121976, -0.032389335, 0.0034322033, 0.058807302, 0.010943064, -0.030523283, 0.008903735, 0.017500903, 0.00871713, -0.0029406983, 0.013995391, -0.03132302, -0.019660193, -0.00770413, -0.0038853872, 0.0015894766, -0.0015294964, -0.006251275, -0.021099718, -0.010256623, -0.008863748, 0.028550599, 0.02020668, -0.0012962399, -0.003415542, -0.0022509254, 0.0119360695, 0.027590916, -0.046971202, -0.0015194997, -0.022405956, 0.0016677842, -0.00018535563, -0.015421589, -0.031802863, 0.03814744, 0.0065411795, 0.016567878, -0.015621523, 0.022899127, -0.011076353, 0.02841731, -0.002679118, -0.002342562, 0.015341615, 0.01804739, -0.020566562, -0.012989056, -0.002990682, 0.01643459, 0.00042527664, 0.008243952, -0.013715484, -0.004835075, -0.009803439, 0.03129636, -0.021432944, 0.0012087687, -0.015741484, -0.0052016205, 0.00080890034, -0.01755422, 0.004811749, -0.017967418, -0.026684547, -0.014128681, 0.0041386373, -0.013742141, -0.010056688, -0.013268964, -0.0110630235, -0.028337335, 0.015981404, -0.00997005, -0.02424535, -0.013968734, -0.028310679, -0.027750863, -0.020699851, 0.02235264, 0.001057985, 0.00081639783, -0.0099367285, 0.013522214, -0.012016043, -0.00086471526, 0.013568865, 0.0019376953, -0.019020405, 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-0.0034038792, -0.006321252, -0.0016161345, 0.033642255, -0.000056075285, -0.005005019, 0.004571828, -0.0024075406, -0.00010215386, 0.0098634185, 0.1980148, -0.003825407, -0.025191706, 0.035161756, 0.005358236, 0.025111731, 0.023485601, 0.0023342315, -0.011882754, 0.018287312, -0.0068910643, 0.003912045, 0.009243623, -0.001355387, -0.028603915, -0.012802451, -0.030150073, -0.014795128, -0.028630573, -0.0013487226, 0.002667455, 0.00985009, -0.0033972147, -0.021486258, 0.009503538, -0.017847456, 0.013062365, -0.014341944, 0.005078328, 0.025165047, -0.015594865, -0.025924796, -0.0018177348, 0.010996379, -0.02993681, 0.007324255, 0.014475234, -0.028577257, 0.005494857, 0.00011725306, -0.013315615, 0.015941417, 0.009376912, 0.0025158382, 0.008743787, 0.023832154, -0.008084005, -0.014195326, -0.008823762, 0.0033455652, -0.032362677, -0.021552904, -0.0056081535, 0.023298996, -0.025444955, 0.0097301295, 0.009736794, 0.015274971, -0.0012937407, -0.018087378, -0.0039387033, 0.008637156, -0.011189649, -0.00023846315, -0.011582852, 0.0066411467, -0.018220667, 0.0060846633, 0.0376676, -0.002709108, 0.0072776037, 0.0034188742, -0.010249958, -0.0007747449, -0.00795738, -0.022192692, 0.03910712, 0.032122757, 0.023898797, 0.0076241563, -0.007397564, -0.003655463, 0.011442899, -0.014115352, -0.00505167, -0.031163072, 0.030336678, -0.006857742, -0.022259338, 0.004048667, 0.02072651, 0.0030156737, -0.0042119464, 0.00041861215, -0.005731446, 0.011103011, 0.013822115, 0.021512916, 0.009216965, -0.006537847, -0.027057758, -0.04054665, 0.010403241, -0.0056281467, -0.005701456, -0.002709108, -0.00745088, -0.0024841821, 0.009356919, -0.022659205, 0.004061996, -0.013175662, 0.017074378, -0.006141311, -0.014541878, 0.02993681, -0.00028448965, -0.025271678, 0.011689484, -0.014528549, 0.004398552, -0.017274313, 0.0045751603, 0.012455898, 0.004121976, -0.025458284, -0.006744446, 0.011822774, -0.015035049, -0.03257594, 0.014675168, -0.0039187097, 0.019726837, -0.0047251107, 0.0022825818, 0.011829439, 0.005391558, -0.016781142, -0.0058747325, 0.010309938, -0.013049036, 0.01186276, -0.0011246296, 0.0062112883, 0.0028190718, -0.021739509, 0.009883412, -0.0073175905, -0.012715813, -0.017181009, -0.016607866, -0.042492677, -0.0014478565, -0.01794076, 0.012302616, -0.015194997, -0.04433207, -0.020606548, 0.009696807, 0.010303274, -0.01694109, -0.004018677, 0.019353628, -0.001991011, 0.000058938927, 0.010536531, -0.17274313, 0.010143327, 0.014235313, -0.024152048, 0.025684876, -0.0012504216, 0.036601283, -0.003698782, 0.0007310093, 0.004165295, -0.0029157067, 0.017101036, -0.046891227, -0.017460918, 0.022965772, 0.020233337, -0.024072073, 0.017220996, 0.009370248, 0.0010363255, 0.0194336, -0.019606877, 0.01818068, -0.020819811, 0.007410893, 0.0019326969, 0.017887443, 0.006651143, 0.00067394477, -0.011889419, -0.025058415, -0.008543854, 0.021579562, 0.0047484366, 0.014062037, 0.0075508473, -0.009510202, -0.009143656, 0.0046817916, 0.013982063, -0.0027990784, 0.011782787, 0.014541878, -0.015701497, -0.029350337, 0.021979429, 0.01332228, -0.026244693, -0.0123492675, -0.003895384, 0.0071576433, -0.035454992, -0.00046984528, 0.0033522295, 0.039347045, 0.0005119148, 0.00476843, -0.012995721, 0.0024042083, -0.006931051, -0.014461905, -0.0127558, 0.0034555288, -0.0074842023, -0.030256703, -0.007057676, -0.00807734, 0.007804097, -0.006957709, 0.017181009, -0.034575284, -0.008603834, -0.005008351, -0.015834786, 0.02943031, 0.016861115, -0.0050849924, 0.014235313, 0.0051449724, 0.0025924798, -0.0025741523, 0.04289254, -0.002104307, 0.012969063, -0.008310596, 0.00423194, 0.0074975314, 0.0018810473, -0.014248641, -0.024725191, 0.0151016945, -0.017527562, 0.0018727167, 0.0002830318, 0.015168339, 0.0144219175, -0.004048667, -0.004358565, 0.011836103, -0.010343261, -0.005911387, 0.0022825818, 0.0073175905, 0.00403867, 0.013188991, 0.03334902, 0.006111321, 0.008597169, 0.030123414, -0.015474904, 0.0017877447, -0.024551915, 0.013155668, 0.023525586, -0.0255116, 0.017220996, 0.004358565, -0.00934359, 0.0099967085, 0.011162991, 0.03092315, -0.021046404, -0.015514892, 0.0011946067, -0.01816735, 0.010876419, -0.10124666, -0.03550831, 0.0056348112, 0.013942076, 0.005951374, 0.020419942, -0.006857742, -0.020873128, -0.021259667, 0.0137554705, 0.0057880944, -0.029163731, -0.018767154, -0.021392956, 0.030896494, -0.005494857, -0.0027307675, -0.006801094, -0.014821786, 0.021392956, -0.0018110704, -0.0018843795, -0.012362596, -0.0072176233, -0.017194338, -0.018713837, -0.024272008, 0.03801415, 0.00015880188, 0.0044951867, -0.028630573, -0.0014070367, -0.00916365, -0.026537929, -0.009576847, -0.013995391, -0.0077107945, 0.0050016865, 0.00578143, -0.04467862, 0.008363913, 0.010136662, -0.0006268769, -0.006591163, 0.015341615, -0.027377652, -0.00093136, 0.029243704, -0.020886457, -0.01041657, -0.02424535, 0.005291591, -0.02980352, -0.009190307, 0.019460259, -0.0041286405, 0.004801752, 0.0011787785, -0.001257086, -0.011216307, -0.013395589, 0.00088137644, -0.0051616337, 0.03876057, -0.0033455652, 0.00075850025, -0.006951045, -0.0062112883, 0.018140694, -0.006351242, -0.008263946, 0.018154023, -0.012189319, 0.0075508473, -0.044358727, -0.0040153447, 0.0093302615, -0.010636497, 0.032789204, -0.005264933, -0.014235313, -0.018393943, 0.007297597, -0.016114693, 0.015021721, 0.020033404, 0.0137688, 0.0011046362, 0.010616505, -0.0039453674, 0.012109346, 0.021099718, -0.0072842683, -0.019153694, -0.003768759, 0.039320387, -0.006747778, -0.0016852784, 0.018154023, 0.0010963057, -0.015035049, -0.021033075, -0.04345236, 0.017287642, 0.016341286, -0.008610498, 0.00236922, 0.009290274, 0.028950468, -0.014475234, -0.0035654926, 0.015434918, -0.03372223, 0.004501851, -0.012929076, -0.008483873, -0.0044685286, -0.0102233, 0.01615468, 0.0022792495, 0.010876419, -0.0059647025, 0.01895376, -0.0069976957, -0.0042952523, 0.017207667, -0.00036133936, 0.0085905045, 0.008084005, 0.03129636, -0.016994404, -0.014915089, 0.020100048, -0.012009379, -0.006684466, 0.01306903, 0.00015765642, -0.00530492, 0.0005277429, 0.015421589, 0.015528221, 0.032202728, -0.003485519, -0.0014286962, 0.033908837, 0.001367883, 0.010509873, 0.025271678, -0.020993087, 0.019846799, 0.006897729, -0.010216636, -0.00725761, 0.01818068, -0.028443968, -0.011242964, -0.014435247, -0.013688826, 0.006101324, -0.0022509254, 0.013848773, -0.0019077052, 0.017181009, 0.03422873, 0.005324913, -0.0035188415, 0.014128681, -0.004898387, 0.005038341, 0.0012320944, -0.005561502, -0.017847456, 0.0008538855, -0.0047884234, 0.011849431, 0.015421589, -0.013942076, 0.0029790192, -0.013702155, 0.0001199605, -0.024431955, 0.019926772, 0.022179363, -0.016487904, -0.03964028, 0.0050849924, 0.017487574, 0.022792496, 0.0012504216, 0.004048667, -0.00997005, 0.0076041627, -0.014328616, -0.020259995, 0.0005598157, -0.010469886, 0.0016852784, 0.01716768, -0.008990373, -0.001987679, 0.026417969, 0.023792166, 0.0046917885, -0.0071909656, -0.00032051947, -0.023259008, -0.009170313, 0.02071318, -0.03156294, -0.030869836, -0.006324584, 0.013795458, -0.00047151142, 0.016874444, 0.00947688, 0.00985009, -0.029883493, 0.024205362, -0.013522214, -0.015075036, -0.030603256, 0.029270362, 0.010503208, 0.021539574, 0.01743426, -0.023898797, 0.022019416, -0.0068777353, 0.027857494, -0.021259667, 0.0025758184, 0.006197959, 0.006447877, -0.00025200035, -0.004941706, -0.021246338, -0.005504854, -0.008390571, -0.0097301295, 0.027244363, -0.04446536, 0.05216949, 0.010243294, -0.016008062, 0.0122493, -0.0199401, 0.009077012, 0.019753495, 0.006431216, -0.037960835, -0.027377652, 0.016381273, -0.0038620618, 0.022512587, -0.010996379, -0.0015211658, -0.0102233, 0.007071005, 0.008230623, -0.009490209, -0.010083347, 0.024431955, 0.002427534, 0.02828402, 0.0035721571, -0.022192692, -0.011882754, 0.010056688, 0.0011904413, -0.01426197, -0.017500903, -0.00010985966, 0.005591492, -0.0077707744, -0.012049366, 0.011869425, 0.00858384, -0.024698535, -0.030283362, 0.020140035, 0.011949399, -0.013968734, 0.042732596, -0.011649498, -0.011982721, -0.016967745, -0.0060913274, -0.007130985, -0.013109017, -0.009710136,
32 	}
33 
34 	vectorSearchStage := bson.D{
35 		{"$vectorSearch", bson.D{
36 			{"index", "vector_index"},
37 			{"path", "plot_embedding"},
38 			{"queryVector", queryVector},
39 			{"numCandidates", 150},
40 			{"limit", 10},
41 		}}}
42 
43 	projectStage := bson.D{
44 		{"$project", bson.D{
45 			{"_id", 0},
46 			{"plot", 1},
47 			{"title", 1},
48 			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
49 		}}}
50 
51 	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
52 	if err != nil {
53 		log.Fatalf("failed to retrieve data from the server: %v", err)
54 	}
55 	// Display the results
56 	type ProjectedMovieResult struct {
57 		Title string  `bson:"title"`
58 		Plot  string  `bson:"plot"`
59 		Score float64 `bson:"score"`
60 	}
61 
62 	var results []ProjectedMovieResult
63 	if err = cursor.All(ctx, &results); err != nil {
64 		log.Fatalf("failed to unmarshal retrieved docs to ProjectedMovieResult objects: %v", err)
65 	}
66 	for _, result := range results {
67 		fmt.Printf("Title: %v \nPlot: %v \nScore: %v \n\n", result.Title, result.Plot, result.Score)
68 	}
69 }

1 Title: Thrill Seekers
2 Plot: A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.
3 Score: 0.7892671227455139
4 
5 Title: About Time
6 Plot: At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.
7 Score: 0.7843604683876038
8 
9 Title: The Time Machine
10 Plot: Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.
11 Score: 0.7801066637039185
12 
13 Title: Crusade in Jeans
14 Plot: After using his mother's newly built time machine, Dolf gets stuck involuntary in the year 1212. He ends up in a children's crusade where he confronts his new friends with modern techniques...
15 Score: 0.7789170742034912
16 
17 Title: Timecop
18 Plot: An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.
19 Score: 0.7771612405776978
20 
21 Title: A.P.E.X.
22 Plot: A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...
23 Score: 0.7730885744094849
24 
25 Title: Men in Black 3
26 Plot: Agent J travels in time to M.I.B.'s early days in 1969 to stop an alien from assassinating his friend Agent K and changing history.
27 Score: 0.7712380886077881
28 
29 Title: Tomorrowland
30 Plot: Bound by a shared destiny, a teen bursting with scientific curiosity and a former boy-genius inventor embark on a mission to unearth the secrets of a place somewhere in time and space that exists in their collective memory.
31 Score: 0.7669923901557922
32 
33 Title: Love Story 2050
34 Plot: With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.
35 Score: 0.7649372816085815
36 
37 Title: The Portal
38 Plot: A dimension-traveling wizard gets stuck in the 21st century because cell-phone radiation interferes with his magic. With his home world on the brink of war, he seeks help from a jaded ...
39 Score: 0.7640786170959473

结果中排除_id字段，仅包含plot 、 title和year字段。
添加名为 score 的字段，显示结果中文档的Atlas Vector Search分数。

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 := [1536]float64{
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-0.002267671, 0.015047288, 0.018643826, 0.013976259, 0.0052394443, 0.0059534633, 0.010016099, -0.0016528215, -0.03670586, 0.023483288, 0.008250885, -0.0051997765, -0.012607723, -0.019133061, -0.005798098, -0.012991177, -0.001120613, 0.015272071, -0.03279198, -0.040646188, -0.014994397, -0.009031017, 0.014108485, -0.011424302, 0.021420566, 0.0053353077, 0.0052361386, -0.012607723, -0.0076823146, -0.17136453, -0.0011024319, 0.011351578, -0.0062278314, 0.008700453, 0.0017106703, 0.011992873, 0.0048758234, -0.004568399, -0.0052460553, 0.02729139, -0.013407689, -0.041809775, 0.0023552708, 0.025612123, 0.031337496, -0.008925236, 0.017004227, 0.013989481, 0.005252667, 0.02344362, 0.023879966, -0.0006917058, 0.013949813, 0.0005198124, 0.0051072184, 0.0040791635, 0.0046576513, -0.012574666, -0.013698584, -0.012654002, -0.00344448, -0.006862515, 0.012944899, 0.023324618, 0.004743598, -0.029724343, 0.006307167, 0.0016453839, 0.0093549695, -0.008469057, 0.035648055, 0.01454483, -0.0115697505, 0.011344967, 0.015496855, -0.013738252, -0.0026610426, -0.005923712, -0.007953377, 0.01609187, -0.02698727, 0.011483804, -0.014796059, 0.024408868, 0.009778093, -0.0014437396, 0.007001352, 0.022068473, -0.011701977, -0.00007365386, -0.023377508, 0.012964732, -0.010445832, -0.018114924, -0.04009084, -0.0056427326, 0.0071269665, -0.03300354, 0.028666537, -0.025850128, -0.017440572, 0.007966599, -0.026484812, 0.012409384, -0.0022032112, -0.009778093, -0.005798098, -0.015430742, -0.0028775623, -0.011629253, 0.035304267, -0.03295065, 0.019384291, -0.009513641, 0.017387683, -0.019873526, -0.011113572, -0.012052375, -0.010531778, 0.010459054, -0.034458023, -0.01876283, -0.00026589766, 0.008217828, 0.025202222, 0.0009792967, -0.005712151, 0.005150192, -0.01794303, -0.0048956573, -0.010895399, -0.007345139, -0.005725374, 0.036917422, -0.009447528, 0.042603128, 0.017969476, 0.03094082, -0.0061617186, 0.01459772, 0.0040031336, 0.004340309, 0.01979419, -0.0055799256, 0.020349538, -0.019040504, -0.019648742, 0.019780967, -0.0012842424, 0.03839835, -0.0005590669, -0.023165947, -0.011067293, 0.014015927, 0.012303604, -0.10461699, -0.009315303, 0.00067393796, 0.021195784, -0.017506685, 0.009427694, 0.0045055915, 0.00096194213, 0.015919978, 0.016435657, -0.014095262, 0.0028676454, -0.004730375, -0.0136721395, 0.010306995, -0.0073186937, -0.013401077, -0.0090045715, -0.019344624, 0.009242578, -0.016686887, 0.0007702148, 0.012528387, -0.012025929, -0.022689935, -0.009976431, -0.032236632, 0.02750295, 0.004158499, 0.01855127, 0.002371799, -0.0053320024, 0.007715371, -0.03252753, -0.013500246, 0.011973039, -0.008469057, -0.0022924636, 0.0213809, -0.04842106, 0.018895056, 0.0015858823, 0.007576534, -0.024964217, 0.014994397, 0.0020412346, -0.005249361, 0.0014792753, 0.009348359, -0.03638852, -0.028402084, -0.01084251, -0.019979307, -0.0035304269, 0.0036064566, -0.014994397, 0.017652133, 0.01305729, 0.007907098, 0.006667482, 0.0028676454, -0.020005751, -0.012991177, 0.03001524, -0.00046609566, 0.015615858, -0.02935411, -0.0009925193, 0.033796895, -0.019040504, -0.014901839, 0.009533474, -0.010121879, 0.026458368, -0.038054563, 0.009956597, -0.0030048296, -0.0019519823, 0.016872002, -0.001142926, -0.014941507, -0.02930122, 0.004611372, -0.029512782, 0.030887928, -0.0018015754, 0.010624337, -0.0044791466, -0.007993045, -0.0056790947, 0.0019602464, 0.011173073, 0.0023222142, -0.00022499033, 0.0024511344, 0.015443964, 0.018987615, -0.02349651, -0.008740121, 0.00029730127, -0.004750209, -0.017969476, -0.06442037, 0.006816236, 0.0019833858, 0.0063038613, -0.0054675336, -0.01161603, 0.032818425, -0.030094575, 0.009685534, -0.0012520123, -0.0013090346, 0.0085285595, 0.015959645, -0.0006574098, -0.00688896, -0.019133061, -0.0008057505, 0.009672312, 0.019913195, 0.008145104, -0.012290381, 0.0016139803, 0.026405476, 0.014875393, -0.002168502, 0.012792839, -0.011840814, 0.003464314, 0.0069682957, -0.0073781954, 0.018842166, -0.03165484, -0.017242234, 0.006789791, -0.009130186, -0.012263936, -0.015258849, 0.0036692638, 0.008865735, 0.0272385, -0.004009745, -0.017612467, 0.022584153, -0.023760963, 0.004231223, 0.004287419, -0.020891665, 0.022425482, 0.007986434, -0.0030345803, 0.010459054, 0.013844033, 0.012283769, -0.027899627, -0.006250971, -0.023430398, 0.0122573245, -0.004128748, 0.013830811, -0.016766222, 0.022861827, -0.011192908, 0.03665297, -0.00212057, -0.009031017, -0.024170863, -0.0010230965, -0.0064393925, 0.014015927, -0.005956769, 0.000146378, -0.008436001, 0.010604503, 0.013169682, -0.00516672, 0.0012321784, -0.022332925, -0.0022643656, -0.03993217, 0.02050821, 0.01577453, -0.0043667546, -0.022372592, -0.001152843, 0.010002876, 0.0036262905, -0.017876917, 0.006406336, -0.009401249, 0.019569406, -0.03033258, -0.01269367, 0.0020412346, 0.009989654, -0.0014627471, 0.04101642, 0.0011189602, -0.023046944, 0.0013230836, 0.024250198, 0.01207882, -0.0062377485, -0.010452444, -0.020825552, 0.006693927, -0.005305557, -0.018339708, -0.041307315, -0.012296992, 0.0070542423, 0.0019371068, 0.0117945345, -0.020032197, 0.017797582, -0.015443964, 0.00537167, -0.00015474542, -0.0117747, -0.011140017, 0.017334793, 0.016250541, 0.006019576, 0.017612467, -0.017982699, 0.010366497, 0.0029949127, 0.015086955, -0.000027813887, -0.008660785, -0.008713675, -0.0050873845, -0.0117945345, -0.016118316, -0.0022015583, 0.006518728, -0.0047766543, 0.0055501745, 0.039747052, -0.034061346, 0.049425974, 0.0023883271, -0.0035601775, 0.00863434, -0.003897353, 0.016237319, 0.006436087, -0.00037828952, -0.017797582, -0.019450404, 0.0009809496, 0.0036461244, 0.013176293, 0.0036461244, -0.01094829, -0.018260373, 0.00035246418, 0.012885396, -0.006796402, -0.015972868, 0.027899627, -0.0077021485, 0.027608732, 0.01696456, -0.0014486981, -0.017969476, 0.015642302, -0.00477996, -0.0048890463, -0.020058641, 0.008323609, 0.013017623, -0.01886861, -0.008204606, 0.016303431, -0.010029321, -0.001018138, -0.0332151, 0.010525168, 0.032871313, 0.011549917, 0.010928456, -0.014253933, -0.011384634, 0.00894507, 0.034616694, -0.016872002, -0.010987958, -0.011953205,
32 	}
33 
34 	vectorSearchStage := bson.D{
35 		{"$vectorSearch", bson.D{
36 			{"index", "vector_index"},
37 			{"path", "plot_embedding"},
38 			{"filter", bson.D{{
39 				"$and", bson.A{
40 					bson.D{{"year", bson.D{{"$gt", 1955}}}},
41 					bson.D{{"year", bson.D{{"$lt", 1975}}}},
42 				},
43 			}}},
44 			{"queryVector", queryVector},
45 			{"numCandidates", 150},
46 			{"limit", 10},
47 		}}}
48 
49 	projectStage := bson.D{
50 		{"$project", bson.D{
51 			{"_id", 0},
52 			{"plot", 1},
53 			{"title", 1},
54 			{"year", 1},
55 			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
56 		}}}
57 
58 	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
59 	if err != nil {
60 		log.Fatalf("failed to retrieve data from the server: %v", err)
61 	}
62 	// display the results
63 	type ProjectedMovieResult struct {
64 		Title string  `bson:"title"`
65 		Plot  string  `bson:"plot"`
66 		Year  int32   `bson:"year"`
67 		Score float64 `bson:"score"`
68 	}
69 
70 	var results []ProjectedMovieResult
71 	if err = cursor.All(ctx, &results); err != nil {
72 		log.Fatalf("failed to unmarshal retrieved docs to ProjectedMovieResult objects: %v", err)
73 	}
74 	for _, result := range results {
75 		fmt.Printf("Title: %v \nPlot: %v \nYear: %v \nScore: %v \n\n", result.Title, result.Plot, result.Year, result.Score)
76 	}
77 }

1 Title: Peter Pan
2 Plot: In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...
3 Year: 1960
4 Score: 0.748110830783844
5 
6 Title: Chitty Chitty Bang Bang
7 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.
8 Year: 1968
9 Score: 0.7442465424537659
10 
11 Title: That Man from Rio
12 Plot: A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.
13 Year: 1964
14 Score: 0.7416020035743713
15 
16 Title: The Little Prince
17 Plot: A pilot, stranded in the desert, meets a little boy who is a prince on a planet.
18 Year: 1974
19 Score: 0.7378944158554077
20 
21 Title: The Red Balloon
22 Plot: A red balloon with a life of its own follows a little boy around the streets of Paris.
23 Year: 1956
24 Score: 0.7342712879180908
25 
26 Title: Willy Wonka & the Chocolate Factory
27 Plot: A poor boy wins the opportunity to tour the most eccentric and wonderful candy factory of all.
28 Year: 1971
29 Score: 0.7342107892036438
30 
31 Title: Bedknobs and Broomsticks
32 Plot: An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.
33 Year: 1971
34 Score: 0.7339356541633606
35 
36 Title: Pastoral Hide and Seek
37 Plot: A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.
38 Year: 1974
39 Score: 0.733299970626831
40 
41 Title: The Three Musketeers
42 Plot: A young swordsman comes to Paris and faces villains, romance, adventure and intrigue with three Musketeer friends.
43 Year: 1973
44 Score: 0.7331198453903198
45 
46 Title: Frosty
47 Plot: A fairy-tale about a conceited young man and a young woman with a tyrannical step-mother, who must overcome magical trials in order to be together.
48 Year: 1964
49 Score: 0.7318308353424072

Atlas Vector Search 根据介于 1955 和 1975 之间的 year 字段值过滤文档。它返回在 1955 和 1975 之间上映的电影中总结儿童冒险情节的文档。

提示

另请参阅：其他筛选器示例

如何对 Atlas Cluster 中的数据执行语义搜索教程演示了针对 sample_mflix.embedded_movies 集合中嵌入数据的语义搜索查询中的其他预过滤器。

在结果中排除 _id 字段并仅包含 plot 和 title 字段。
添加名为 score 的字段，以显示结果中的每个文档的向量搜索分数。

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.search.FieldSearchPath;
6 import org.bson.Document;
7 import org.bson.conversions.Bson;
8 
9 import java.util.List;
10 
11 import static com.mongodb.client.model.Aggregates.project;
12 import static com.mongodb.client.model.Aggregates.vectorSearch;
13 import static com.mongodb.client.model.Projections.fields;
14 import static com.mongodb.client.model.Projections.include;
15 import static com.mongodb.client.model.Projections.exclude;
16 import static com.mongodb.client.model.Projections.metaVectorSearchScore;
17 import static com.mongodb.client.model.search.SearchPath.fieldPath;
18 import static com.mongodb.client.model.search.VectorSearchOptions.approximateVectorSearchOptions;
19 import static java.util.Arrays.asList;
20 
21 public class BasicQuery {
22   public static void main( String[] args ) {
23     // specify connection
24     String uri = "<connection-string>";
25 
26     // establish connection and set namespace
27     try (MongoClient mongoClient = MongoClients.create(uri)) {
28       MongoDatabase database = mongoClient.getDatabase("sample_mflix");
29       MongoCollection<Document> collection = database.getCollection("embedded_movies");
30       
31 
32       // define $vectorSearch query options
33       List<Double> queryVector = (asList(-0.0016261312d, -0.028070757d, -0.011342932d, -0.012775794d, -0.0027440966d, 0.008683807d, -0.02575152d, -0.02020668d, -0.010283281d, -0.0041719596d, 0.021392956d, 0.028657231d, -0.006634482d, 0.007490867d, 0.018593878d, 0.0038187427d, 0.029590257d, -0.01451522d, 0.016061379d, 0.00008528442d, -0.008943722d, 0.01627464d, 0.024311995d, -0.025911469d, 0.00022596726d, -0.008863748d, 0.008823762d, -0.034921836d, 0.007910728d, -0.01515501d, 0.035801545d, -0.0035688248d, -0.020299982d, -0.03145631d, -0.032256044d, -0.028763862d, -0.0071576433d, -0.012769129d, 0.012322609d, -0.006621153d, 0.010583182d, 0.024085402d, -0.001623632d, 0.007864078d, -0.021406285d, 0.002554159d, 0.012229307d, -0.011762793d, 0.0051682983d, 0.0048484034d, 0.018087378d, 0.024325324d, -0.037694257d, -0.026537929d, -0.008803768d, -0.017767483d, -0.012642504d, -0.0062712682d, 0.0009771782d, -0.010409906d, 0.017754154d, -0.004671795d, -0.030469967d, 0.008477209d, -0.005218282d, 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34       String indexName = "vector_index";
35       FieldSearchPath fieldSearchPath = fieldPath("plot_embedding");
36       int limit = 10;
37       int numCandidates = 150;
38       
39       // define pipeline 
40       List<Bson> pipeline = asList(
41         vectorSearch(
42           fieldSearchPath,
43           queryVector,
44           indexName,
45           limit,
46           approximateVectorSearchOptions(numCandidates)),
47         project(
48           fields(exclude("_id"), include("title"), include("plot"),
49           metaVectorSearchScore("score"))));
50       
51       // run query and print results
52       collection.aggregate(pipeline)
53         .forEach(doc -> System.out.println(doc.toJson()));	
54     }
55   }
56 }

1 {"plot": "A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.", "title": "Thrill Seekers", "score": 0.7892671227455139}
2 {"plot": "At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.", "title": "About Time", "score": 0.7843604683876038}
3 {"plot": "Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.", "title": "The Time Machine", "score": 0.7801066637039185}
4 {"plot": "After using his mother's newly built time machine, Dolf gets stuck involuntary in the year 1212. He ends up in a children's crusade where he confronts his new friends with modern techniques...", "title": "Crusade in Jeans", "score": 0.7789170742034912}
5 {"plot": "An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.", "title": "Timecop", "score": 0.7771612405776978}
6 {"plot": "A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...", "title": "A.P.E.X.", "score": 0.7730885744094849}
7 {"plot": "Agent J travels in time to M.I.B.'s early days in 1969 to stop an alien from assassinating his friend Agent K and changing history.", "title": "Men in Black 3", "score": 0.7712380886077881}
8 {"plot": "Bound by a shared destiny, a teen bursting with scientific curiosity and a former boy-genius inventor embark on a mission to unearth the secrets of a place somewhere in time and space that exists in their collective memory.", "title": "Tomorrowland", "score": 0.7669923901557922}
9 {"plot": "With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.", "title": "Love Story 2050", "score": 0.7649372816085815}
10 {"plot": "A dimension-traveling wizard gets stuck in the 21st century because cell-phone radiation interferes with his magic. With his home world on the brink of war, he seeks help from a jaded ...", "title": "The Portal", "score": 0.7640786170959473}

结果中排除_id字段，仅包含plot 、 title和year字段。
添加名为 score 的字段，显示结果中文档的Atlas Vector Search分数。

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 FilterQuery {
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");
32 	    int numCandidates = 150;
33       int limit = 10;
34       Bson criteria = Filters.and(Filters.gt("year", 1955), Filters.lt("year", 1975));
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            metaVectorSearchScore("score"))));
49       
50 	    // run query and print results
51       collection.aggregate(pipeline)
52         .forEach(doc -> System.out.println(doc.toJson()));	
53     }
54   }
55 }

1 {"plot": "In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...", "title": "Peter Pan", "year": 1960, "score": 0.748110830783844}
2 {"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.", "title": "Chitty Chitty Bang Bang", "year": 1968, "score": 0.7442465424537659}
3 {"plot": "A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.", "title": "That Man from Rio", "year": 1964, "score": 0.7416020035743713}
4 {"plot": "A pilot, stranded in the desert, meets a little boy who is a prince on a planet.", "title": "The Little Prince", "year": 1974, "score": 0.7378944158554077}
5 {"plot": "A red balloon with a life of its own follows a little boy around the streets of Paris.", "title": "The Red Balloon", "year": 1956, "score": 0.7342712879180908}
6 {"plot": "A poor boy wins the opportunity to tour the most eccentric and wonderful candy factory of all.", "title": "Willy Wonka & the Chocolate Factory", "year": 1971, "score": 0.7342107892036438}
7 {"plot": "An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.", "title": "Bedknobs and Broomsticks", "year": 1971, "score": 0.7339356541633606}
8 {"plot": "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", "title": "Pastoral Hide and Seek", "year": 1974, "score": 0.733299970626831}
9 {"plot": "A young swordsman comes to Paris and faces villains, romance, adventure and intrigue with three Musketeer friends.", "title": "The Three Musketeers", "year": 1973, "score": 0.7331198453903198}
10 {"plot": "A fairy-tale about a conceited young man and a young woman with a tyrannical step-mother, who must overcome magical trials in order to be together.", "title": "Frosty", "year": 1964, "score": 0.7318308353424072}

Atlas Vector Search 根据介于 1955 和 1975 之间的 year 字段值过滤文档。它返回在 1955 和 1975 之间上映的电影中总结儿童冒险情节的文档。

提示

另请参阅：其他筛选器示例

如何对 Atlas Cluster 中的数据执行语义搜索教程演示了针对 sample_mflix.embedded_movies 集合中嵌入数据的语义搜索查询中的其他预过滤器。

在结果中排除 _id 字段并仅包含 plot 和 title 字段。
添加名为 score 的字段，以显示结果中的每个文档的向量搜索分数。

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               '$vectorSearch': {
20                 'index': 'vector_index',
21                 'path': 'plot_embedding',
22                 'queryVector': [
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0.042732596, -0.011649498, -0.011982721, -0.016967745, -0.0060913274, -0.007130985, -0.013109017, -0.009710136
24                 ],
25                 'numCandidates': 150,
26                 'limit': 10
27               }
28             }, {
29               '$project': {
30                 '_id': 0,
31                 'plot': 1,
32                 'title': 1,
33                 'score': {
34                   '$meta': 'vectorSearchScore'
35                 }
36               }
37             }
38           ];
39         // run pipeline
40         const result = coll.aggregate(agg);
41 
42         // print results
43         await result.forEach((doc) => console.dir(JSON.stringify(doc)));
44     } finally {
45         await client.close();
46     }
47 }
48 run().catch(console.dir);

1 '{"plot":"A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.","title":"Thrill Seekers","score":0.7892671227455139}'
2 '{"plot":"At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.","title":"About Time","score":0.7843604683876038}'
3 '{"plot":"Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.","title":"The Time Machine","score":0.7801066637039185}'
4 `{"plot":"After using his mother's newly built time machine, Dolf gets stuck involuntary in the year 1212. He ends up in a children's crusade where he confronts his new friends with modern techniques...","title":"Crusade in Jeans","score":0.7789170742034912}`
5 '{"plot":"An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.","title":"Timecop","score":0.7771612405776978}'
6 '{"plot":"A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...","title":"A.P.E.X.","score":0.7730885744094849}'
7 `{"plot":"Agent J travels in time to M.I.B.'s early days in 1969 to stop an alien from assassinating his friend Agent K and changing history.","title":"Men in Black 3","score":0.7712380886077881}`
8 '{"plot":"Bound by a shared destiny, a teen bursting with scientific curiosity and a former boy-genius inventor embark on a mission to unearth the secrets of a place somewhere in time and space that exists in their collective memory.","title":"Tomorrowland","score":0.7669923901557922}'
9 '{"plot":"With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.","title":"Love Story 2050","score":0.7649372816085815}'
10 '{"plot":"A dimension-traveling wizard gets stuck in the 21st century because cell-phone radiation interferes with his magic. With his home world on the brink of war, he seeks help from a jaded ...","title":"The Portal","score":0.7640786170959473}'

结果中排除_id字段，仅包含plot 、 title和year字段。
添加名为 score 的字段，显示结果中文档的Atlas Vector Search分数。

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         '$vectorSearch': {
20           'index': 'vector_index', 
21           'path': 'plot_embedding', 
22           'filter': {
23             '$and': [
24               {
25                 'year': {
26                   '$gt': 1955
27                 }, 
28                 'year': {
29                   '$lt': 1975
30                 }
31               }
32             ]
33           }, 
34           'queryVector': [0.02421053, -0.022372592, -0.006231137, -0.02168502, -0.020375984, 0.037552103, -0.010505334, -0.027026938, 0.0070674648, -0.020032197, 0.01783725, 0.016303431, 0.014584498, -0.018736385, 0.009031017, -0.0045981496, 0.02750295, -0.028322749, 0.010624337, -0.024236975, -0.0048659067, 0.015153068, -0.000490888, -0.022161031, -0.0024560927, -0.007411252, 0.009745035, -0.01886861, 0.02112967, -0.011939983, 0.015153068, 0.0025800543, 0.017824028, -0.02410475, -0.016633997, -0.0018214093, -0.008323609, -0.009222744, 0.009388026, -0.0028296304, 0.0017536436, 0.0065517845, -0.011635863, -0.028454976, -0.018934723, 0.012951509, -0.0032015154, -0.005880739, -0.03115238, 0.012951509, 0.0057749585, 0.009202911, -0.0069352393, 0.00205611, 0.0063732797, 0.0039700773, -0.007100521, -0.0077087595, 0.011596196, -0.010207825, -0.007100521, -0.0051006074, -0.01670011, 0.012773004, -0.035304267, -0.0074971984, 0.0025800543, -0.006118745, 0.030253245, -0.0010751605, 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-0.020825552, 0.006693927, -0.005305557, -0.018339708, -0.041307315, -0.012296992, 0.0070542423, 0.0019371068, 0.0117945345, -0.020032197, 0.017797582, -0.015443964, 0.00537167, -0.00015474542, -0.0117747, -0.011140017, 0.017334793, 0.016250541, 0.006019576, 0.017612467, -0.017982699, 0.010366497, 0.0029949127, 0.015086955, -0.000027813887, -0.008660785, -0.008713675, -0.0050873845, -0.0117945345, -0.016118316, -0.0022015583, 0.006518728, -0.0047766543, 0.0055501745, 0.039747052, -0.034061346, 0.049425974, 0.0023883271, -0.0035601775, 0.00863434, -0.003897353, 0.016237319, 0.006436087, -0.00037828952, -0.017797582, -0.019450404, 0.0009809496, 0.0036461244, 0.013176293, 0.0036461244, -0.01094829, -0.018260373, 0.00035246418, 0.012885396, -0.006796402, -0.015972868, 0.027899627, -0.0077021485, 0.027608732, 0.01696456, -0.0014486981, -0.017969476, 0.015642302, -0.00477996, -0.0048890463, -0.020058641, 0.008323609, 0.013017623, -0.01886861, -0.008204606, 0.016303431, -0.010029321, -0.001018138, -0.0332151, 0.010525168, 0.032871313, 0.011549917, 0.010928456, -0.014253933, -0.011384634, 0.00894507, 0.034616694, -0.016872002, -0.010987958, -0.011953205], 
35           'numCandidates': 150, 
36           'limit': 10
37         }
38       }, {
39         '$project': {
40           '_id': 0, 
41           'title': 1, 
42           'plot': 1, 
43           'year': 1, 
44           'score': {
45             '$meta': 'vectorSearchScore'
46           }
47         }
48       }
49     ];
50   // run pipeline
51   const result = coll.aggregate(agg);
52 
53   // print results
54     await result.forEach((doc) => console.dir(JSON.stringify(doc)));
55   } finally {
56     await client.close();
57   }
58 }
59 run().catch(console.dir);

1 '{"plot":"In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...","title":"Peter Pan","year":1960,"score":0.748110830783844}'
2 '{"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.","title":"Chitty Chitty Bang Bang","year":1968,"score":0.7442465424537659}'
3 '{"plot":"A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.","title":"That Man from Rio","year":1964,"score":0.7416020035743713}'
4 '{"plot":"A boy raised by wolves tries to adapt to human village life.","title":"Jungle Book","year":1942,"score":0.7387760877609253}'
5 '{"plot":"A pilot, stranded in the desert, meets a little boy who is a prince on a planet.","title":"The Little Prince","year":1974,"score":0.7378944158554077}'
6 '{"plot":"A red balloon with a life of its own follows a little boy around the streets of Paris.","title":"The Red Balloon","year":1956,"score":0.7342712879180908}'
7 '{"plot":"A poor boy wins the opportunity to tour the most eccentric and wonderful candy factory of all.","title":"Willy Wonka & the Chocolate Factory","year":1971,"score":0.7342107892036438}'
8 '{"plot":"An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.","title":"Bedknobs and Broomsticks","year":1971,"score":0.7339356541633606}'
9 '{"plot":"Arriving home to find his native land under the yoke of corrupt merchants, an adventurer named Sadko sets sail in search of a mythical bird of happiness.","title":"Sadko","year":1953,"score":0.7339220643043518}'
10 '{"plot":"A young boy’s coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.","title":"Pastoral Hide and Seek","year":1974,"score":0.733299970626831}';

Atlas Vector Search 根据介于 1955 和 1975 之间的 year 字段值过滤文档。它返回在 1955 和 1975 之间上映的电影中总结儿童冒险情节的文档。

提示

另请参阅：其他筛选器示例

如何对 Atlas Cluster 中的数据执行语义搜索教程演示了针对 sample_mflix.embedded_movies 集合中嵌入数据的语义搜索查询中的其他预过滤器。

在结果中排除 _id 字段并仅包含 plot 和 title 字段。
添加名为 score 的字段，以显示结果中的每个文档的向量搜索分数。

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_index', 
12       'path': 'plot_embedding', 
13       'queryVector': [-0.0016261312, -0.028070757, -0.011342932, -0.012775794, -0.0027440966, 0.008683807, -0.02575152, -0.02020668, -0.010283281, -0.0041719596, 0.021392956, 0.028657231, -0.006634482, 0.007490867, 0.018593878, 0.0038187427, 0.029590257, -0.01451522, 0.016061379, 0.00008528442, -0.008943722, 0.01627464, 0.024311995, -0.025911469, 0.00022596726, -0.008863748, 0.008823762, -0.034921836, 0.007910728, -0.01515501, 0.035801545, -0.0035688248, -0.020299982, -0.03145631, -0.032256044, -0.028763862, -0.0071576433, -0.012769129, 0.012322609, -0.006621153, 0.010583182, 0.024085402, -0.001623632, 0.007864078, -0.021406285, 0.002554159, 0.012229307, -0.011762793, 0.0051682983, 0.0048484034, 0.018087378, 0.024325324, -0.037694257, -0.026537929, -0.008803768, -0.017767483, -0.012642504, -0.0062712682, 0.0009771782, -0.010409906, 0.017754154, -0.004671795, -0.030469967, 0.008477209, -0.005218282, -0.0058480743, -0.020153364, -0.0032805866, 0.004248601, 0.0051449724, 0.006791097, 0.007650814, 0.003458861, -0.0031223053, -0.01932697, -0.033615597, 0.00745088, 0.006321252, -0.0038154104, 0.014555207, 0.027697546, -0.02828402, 0.0066711367, 0.0077107945, 0.01794076, 0.011349596, -0.0052715978, 0.014755142, -0.019753495, -0.011156326, 0.011202978, 0.022126047, 0.00846388, 0.030549942, -0.0041386373, 0.018847128, -0.00033655585, 0.024925126, -0.003555496, -0.019300312, 0.010749794, 0.0075308536, -0.018287312, -0.016567878, -0.012869096, -0.015528221, 0.0078107617, -0.011156326, 0.013522214, -0.020646535, -0.01211601, 0.055928253, 0.011596181, -0.017247654, 0.0005939711, -0.026977783, -0.003942035, -0.009583511, -0.0055248477, -0.028737204, 0.023179034, 0.003995351, 0.0219661, -0.008470545, 0.023392297, 0.010469886, -0.015874773, 0.007890735, -0.009690142, -0.00024970944, 0.012775794, 0.0114762215, 0.013422247, 0.010429899, -0.03686786, -0.006717788, -0.027484283, 0.011556195, -0.036068123, -0.013915418, -0.0016327957, 0.0151016945, -0.020473259, 0.004671795, 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0.042732596, -0.011649498, -0.011982721, -0.016967745, -0.0060913274, -0.007130985, -0.013109017, -0.009710136], 
14       'numCandidates': 150, 
15       'limit': 10
16     }
17   }, {
18     '$project': {
19       '_id': 0, 
20       'plot': 1, 
21       'title': 1, 
22       'score': {
23         '$meta': 'vectorSearchScore'
24       }
25     }
26   }
27 ]
28 
29 # run pipeline
30 result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)
31 
32 # print results
33 for i in result:
34     print(i)
35

1 {'plot': 'A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.', 'title': 'Thrill Seekers', 'score': 0.7892671227455139}
2 {'plot': 'At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.', 'title': 'About Time', 'score': 0.7843604683876038}
3 {'plot': 'Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.', 'title': 'The Time Machine', 'score': 0.7801066637039185}
4 {'plot': "After using his mother's newly built time machine, Dolf gets stuck involuntary in the year 1212. He ends up in a children's crusade where he confronts his new friends with modern techniques...", 'title': 'Crusade in Jeans', 'score': 0.7789170742034912}
5 {'plot': 'An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.', 'title': 'Timecop', 'score': 0.7771612405776978}
6 {'plot': 'A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...', 'title': 'A.P.E.X.', 'score': 0.7730885744094849}
7 {'plot': "Agent J travels in time to M.I.B.'s early days in 1969 to stop an alien from assassinating his friend Agent K and changing history.", 'title': 'Men in Black 3', 'score': 0.7712380886077881}
8 {'plot': 'Bound by a shared destiny, a teen bursting with scientific curiosity and a former boy-genius inventor embark on a mission to unearth the secrets of a place somewhere in time and space that exists in their collective memory.', 'title': 'Tomorrowland', 'score': 0.7669923901557922}
9 {'plot': 'With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.', 'title': 'Love Story 2050', 'score': 0.7649372816085815}
10 {'plot': 'A dimension-traveling wizard gets stuck in the 21st century because cell-phone radiation interferes with his magic. With his home world on the brink of war, he seeks help from a jaded ...', 'title': 'The Portal', 'score': 0.7640786170959473}

结果中排除_id字段，仅包含plot 、 title和year字段。
添加名为 score 的字段，显示结果中文档的Atlas Vector Search分数。

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     '$vectorSearch': {
11       'index': 'vector_index', 
12       'path': 'plot_embedding', 
13       'filter': {
14         '$and': [
15           {
16             'year': {
17               '$gt': 1955
18             }, 
19             'year': {
20               '$lt': 1975
21             }
22           }
23         ]
24       }, 
25       'queryVector': [0.02421053, -0.022372592, -0.006231137, -0.02168502, -0.020375984, 0.037552103, -0.010505334, -0.027026938, 0.0070674648, -0.020032197, 0.01783725, 0.016303431, 0.014584498, -0.018736385, 0.009031017, -0.0045981496, 0.02750295, -0.028322749, 0.010624337, -0.024236975, -0.0048659067, 0.015153068, -0.000490888, -0.022161031, -0.0024560927, -0.007411252, 0.009745035, -0.01886861, 0.02112967, -0.011939983, 0.015153068, 0.0025800543, 0.017824028, -0.02410475, -0.016633997, -0.0018214093, -0.008323609, -0.009222744, 0.009388026, -0.0028296304, 0.0017536436, 0.0065517845, -0.011635863, -0.028454976, -0.018934723, 0.012951509, -0.0032015154, -0.005880739, -0.03115238, 0.012951509, 0.0057749585, 0.009202911, -0.0069352393, 0.00205611, 0.0063732797, 0.0039700773, -0.007100521, -0.0077087595, 0.011596196, -0.010207825, -0.007100521, -0.0051006074, -0.01670011, 0.012773004, -0.035304267, -0.0074971984, 0.0025800543, -0.006118745, 0.030253245, -0.0010751605, 0.039456155, 0.007821151, -0.0017189344, -0.0010801188, 0.0062575825, -0.011490415, -0.022637043, 0.004743598, -0.012601111, 0.0197413, -0.0015255542, -0.025942687, -0.03284487, 0.020389207, 0.009797926, 0.0141217075, -0.0015172901, 0.025982354, -0.011589585, -0.001138794, 0.0006131968, 0.016832335, 0.017916586, 0.014412603, -0.0027155858, 0.011854036, -0.02169824, 0.02112967, -0.020680103, -0.007391418, -0.012872174, 0.021473458, 0.0047766543, -0.0048394613, -0.024395647, 0.0065418677, 0.009797926, -0.00449898, 0.041836217, 0.0023833686, -0.021737909, 0.0136721395, 0.014148152, -0.028772317, -0.027899627, -0.015695194, -0.012521776, 0.02205525, -0.01927851, -0.022068473, 0.020971, 0.02317917, 0.030544141, -0.011827591, 0.0075170323, 0.023086611, -0.02164535, -0.01732157, 0.007510421, -0.027635176, 0.016263764, -0.0008801275, 0.033109322, -0.014505162, -0.029909458, 0.036679417, 0.0074971984, 0.0059137954, -0.031178825, -0.012634167, 0.008416167, 0.030491251, -0.016832335, -0.009507029, 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26       'numCandidates': 150, 
27       'limit': 10
28     }
29   }, {
30     '$project': {
31       '_id': 0, 
32       'title': 1, 
33       'plot': 1, 
34       'year': 1, 
35       'score': {
36         '$meta': 'vectorSearchScore'
37       }
38     }
39   }
40 ]
41 
42 # run pipeline
43 result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)
44 
45 # print results
46 for i in result:
47     print(i)
48

1 {'plot': 'In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...', 'title': 'Peter Pan', 'year': 1960, 'score': 0.748110830783844}
2 {'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.', 'title': 'Chitty Chitty Bang Bang', 'year': 1968, 'score': 0.7442465424537659}
3 {'plot': 'A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.', 'title': 'That Man from Rio', 'year': 1964, 'score': 0.7416020035743713}
4 {'plot': 'A boy raised by wolves tries to adapt to human village life.', 'title': 'Jungle Book', 'year': 1942, 'score': 0.7387760877609253}
5 {'plot': 'A pilot, stranded in the desert, meets a little boy who is a prince on a planet.', 'title': 'The Little Prince', 'year': 1974, 'score': 0.7378944158554077}
6 {'plot': 'A red balloon with a life of its own follows a little boy around the streets of Paris.', 'title': 'The Red Balloon', 'year': 1956, 'score': 0.7342712879180908}
7 {'plot': 'A poor boy wins the opportunity to tour the most eccentric and wonderful candy factory of all.', 'title': 'Willy Wonka & the Chocolate Factory', 'year': 1971, 'score': 0.7342107892036438}
8 {'plot': 'An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.', 'title': 'Bedknobs and Broomsticks', 'year': 1971, 'score': 0.7339356541633606}
9 {'plot': 'Arriving home to find his native land under the yoke of corrupt merchants, an adventurer named Sadko sets sail in search of a mythical bird of happiness.', 'title': 'Sadko', 'year': 1953, 'score': 0.7339220643043518}
10 {'plot': "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", 'title': 'Pastoral Hide and Seek', 'year': 1974, 'score': 0.733299970626831}

Atlas Vector Search 根据介于 1955 和 1975 之间的 year 字段值过滤文档。它返回在 1955 和 1975 之间上映的电影中总结儿童冒险情节的文档。

提示

另请参阅：其他筛选器示例

如何对 Atlas Cluster 中的数据执行语义搜索教程演示了针对 sample_mflix.embedded_movies 集合中嵌入数据的语义搜索查询中的其他预过滤器。

精确最近邻 (ENN) 示例

以下查询使用 $vectorSearch 阶段，通过向量嵌入在 plot_embedding 字段中搜索 world war 字符串。它要求完全匹配，并将结果限制在 10 个文档内。该查询还指定了 $project 阶段来执行以下操作：

在结果中排除 _id 字段，而仅包含 plot、title 和 year 字段。
添加名为 score 的字段，显示结果中文档的Atlas Vector Search分数。

1 db.embedded_movies.aggregate([
2   {
3     "$vectorSearch": {
4       "index": "vector_index",
5       "path": "plot_embedding",
6       "queryVector": 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11   {
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1 [
2     {
3       plot: 'It is the dawn of World War III. In mid-western America, a group of teenagers bands together to defend their town, and their country, from invading Soviet forces.',
4       title: 'Red Dawn',
5       score: 0.7700583338737488
6     },
7     {
8       plot: 'A dramatization of the World War II Battle of Iwo Jima.',
9       title: 'Sands of Iwo Jima',
10       score: 0.7581185102462769
11     },
12     {
13       plot: 'Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.',
14       title: 'White Tiger',
15       score: 0.750884473323822
16     },
17     {
18       plot: "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.",
19       title: 'P-51 Dragon Fighter',
20       score: 0.749922513961792
21     },
22     {
23       plot: 'A private in the latter days of WWII on the German front struggles between his will to survive and what his superiors perceive as a battlefield instinct.',
24       title: 'When Trumpets Fade',
25       score: 0.7498313188552856
26     },
27     {
28       plot: 'Post World War III futuristic tale of collapsed governments & bankrupt countries heralding a new lawless age.',
29       title: 'Battletruck',
30       score: 0.7497193217277527
31     },
32     {
33       plot: 'It is post-World War III. War is outlawed. In its place, are matches between large Robots called Robot Jox. These matches take place between two large superpowers over disputed territories....',
34       title: 'Robot Jox',
35       score: 0.7495121955871582
36     },
37     {
38       plot: 'During World War II, an American destroyer meets a German U-Boat. Both captains are good ones, and the engagement lasts for a considerable time.',
39       title: 'The Enemy Below',
40       score: 0.746050238609314
41     },
42     {
43       plot: 'Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.',
44       title: 'Saints and Soldiers',
45       score: 0.7435222864151001
46     },
47     {
48       plot: 'Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.',
49       title: 'Saints and Soldiers',
50       score: 0.743497371673584
51     }
52 ]

Not yet available.

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 := [1536]float64{
31 		-0.006954097, -0.009932499, -0.001311474, -0.021280076, -0.014608995, -0.008227668, -0.013274779, -0.0069271433, -0.009521453, -0.030943038, 0.017304381, 0.015094165, -0.010397454, 0.010943269, 0.012230316, 0.025943095, 0.02583528, 0.001368751, 0.009777515, -0.016024074, -0.013989056, 0.00685639, 0.030242238, -0.023881124, -0.011057823, -0.0056906347, -0.00055929273, -0.03199424, 0.0072168973, -0.023166848, 0.0033490178, -0.024069803, -0.023557678, -0.020862292, 0.007452744, -0.019002475, 0.007850314, -0.032856762, -0.012951332, 0.003005356, -0.003739849, 0.010053792, 0.019541552, 0.007702067, -0.035498243, -0.00918453, -0.0143529335, 0.000249955, -0.011866439, 0.019703276, 0.0076481593, 0.025161434, -0.015714103, -0.0076818517, -0.023180325, -0.0032883717, -0.02315337, 0.015188503, 0.031347346, -0.008739791, 0.01454161, 0.014824626, -0.025107525, 0.0012558816, -0.012803086, -0.013146748, -0.01652272, 0.01283004, -0.019352876, -0.010444623, 0.04706145, 0.030754361, 0.008820653, 0.011657547, 0.014878534, -0.010181823, 0.00041673204, -0.009103668, -0.0055255424, 0.00579845, 0.024110233, -0.020404076, -0.0066272817, -0.005299804, 0.019649368, 0.007729021, -0.0066845585, 0.025592696, 0.00575465, -0.014824626, 0.00033334352, -0.008591545, 0.004164372, 0.028085928, -0.020875769, -0.00448108, -0.009258653, 0.02535011, -0.0025538788, -0.059082873, -0.0074055744, 0.005950066, -0.014164257, -0.016185796, -0.015768012, -0.01309284, 0.0030222023, 0.0028436328, 0.0037095258, -0.0068462817, -0.010963485, 0.018988999, 0.010929792, -0.03967609, 0.016994413, -0.023503771, -0.0037903874, -0.012075332, -0.005923112, -0.01902943, 0.017978229, -0.005993866, 0.024015894, -0.017722167, 0.010875884, 0.0153637035, -0.04045775, -0.0016568204, -0.0074190516, 0.0011084777, 0.033018485, 0.021536138, 0.025794849, -0.019622413, -0.041724585, 0.014743765, -0.011111731, 0.0065666353, -0.019851523, -0.035174794, 0.007270805, 0.02698082, -0.010929792, -0.020148015, -0.009689915, 0.032182917, 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-0.039137013, 0.033099346, 0.0023129785, -0.011017392, -0.0032816331, -0.020848814,
32 	}
33 
34 	vectorSearchStage := bson.D{
35 		{"$vectorSearch", bson.D{
36 			{"index", "vector_index"},
37 			{"path", "plot_embedding"},
38 			{"queryVector", queryVector},
39 			{"exact", true},
40 			{"limit", 10},
41 		}}}
42 
43 	projectStage := bson.D{
44 		{"$project", bson.D{
45 			{"_id", 0},
46 			{"plot", 1},
47 			{"title", 1},
48 			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
49 		}}}
50 
51 	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
52 	if err != nil {
53 		log.Fatalf("failed to retrieve data from the server: %v", err)
54 	}
55 	// display the results
56 	type ProjectedMovieResult struct {
57 		Title string  `bson:"title"`
58 		Plot  string  `bson:"plot"`
59 		Score float64 `bson:"score"`
60 	}
61 
62 	var results []ProjectedMovieResult
63 	if err = cursor.All(ctx, &results); err != nil {
64 		log.Fatalf("failed to unmarshal retrieved docs to ProjectedMovieResult objects: %v", err)
65 	}
66 	for _, result := range results {
67 		fmt.Printf("Title: %v \nPlot: %v \nScore: %v \n\n", result.Title, result.Plot, result.Score)
68 	}
69 }

1 Title: Red Dawn
2 Plot: It is the dawn of World War III. In mid-western America, a group of teenagers bands together to defend their town, and their country, from invading Soviet forces.
3 Score: 0.7700583338737488
4 
5 Title: Sands of Iwo Jima
6 Plot: A dramatization of the World War II Battle of Iwo Jima.
7 Score: 0.7581185102462769
8 
9 Title: White Tiger
10 Plot: Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.
11 Score: 0.750884473323822
12 
13 Title: P-51 Dragon Fighter
14 Plot: As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.
15 Score: 0.749922513961792
16 
17 Title: When Trumpets Fade
18 Plot: A private in the latter days of WWII on the German front struggles between his will to survive and what his superiors perceive as a battlefield instinct.
19 Score: 0.7498313188552856
20 
21 Title: Battletruck
22 Plot: Post World War III futuristic tale of collapsed governments & bankrupt countries heralding a new lawless age.
23 Score: 0.7497193217277527
24 
25 Title: Robot Jox
26 Plot: It is post-World War III. War is outlawed. In its place, are matches between large Robots called Robot Jox. These matches take place between two large superpowers over disputed territories....
27 Score: 0.7495121955871582
28 
29 Title: The Enemy Below
30 Plot: During World War II, an American destroyer meets a German U-Boat. Both captains are good ones, and the engagement lasts for a considerable time.
31 Score: 0.746050238609314
32 
33 Title: Saints and Soldiers
34 Plot: Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.
35 Score: 0.7435222864151001
36 
37 Title: Saints and Soldiers
38 Plot: Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.
39 Score: 0.743497371673584

Not yet available.

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               '$vectorSearch': {
20                 'index': 'vector_index', 
21                 'path': 'plot_embedding', 
22                 'queryVector': [
23                   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24                 ], 
25                 'exact': true, 
26                 'limit': 10
27               }
28             }, {
29               '$project': {
30                 '_id': 0, 
31                 'plot': 1, 
32                 'title': 1, 
33                 'score': {
34                   '$meta': 'vectorSearchScore'
35                 }
36               }
37             }
38           ];
39         // run pipeline
40         const result = coll.aggregate(agg);
41 
42         // print results
43         await result.forEach((doc) => console.dir(JSON.stringify(doc)));
44     } finally {
45         await client.close();
46     }
47 }
48 run().catch(console.dir);

1 {
2   "plot":"It is the dawn of World War III. In mid-western America, a group of teenagers bands together to defend their town, and their country, from invading Soviet forces.",
3   "title":"Red Dawn",
4   "score":0.7700583338737488
5 }
6 {
7   "plot":"A dramatization of the World War II Battle of Iwo Jima.",
8   "title":"Sands of Iwo Jima",
9   "score":0.7581185102462769
10 }
11 {
12   "plot":"Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.",
13   "title":"White Tiger",
14   "score":0.750884473323822
15 }
16 {
17   "plot":"As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.",
18   "title":"P-51 Dragon Fighter",
19   "score":0.749922513961792
20 }
21 {
22   "plot":"A private in the latter days of WWII on the German front struggles between his will to survive and what his superiors perceive as a battlefield instinct.",
23   "title":"When Trumpets Fade",
24   "score":0.7498313188552856
25 }
26 {
27   "plot":"Post World War III futuristic tale of collapsed governments & bankrupt countries heralding a new lawless age.",
28   "title":"Battletruck",
29   "score":0.7497193217277527
30 }
31 {
32   "plot":"It is post-World War III. War is outlawed. In its place, are matches between large Robots called Robot Jox. These matches take place between two large superpowers over disputed territories....",
33   "title":"Robot Jox",
34   "score":0.7495121955871582
35 }
36 {
37   "plot":"During World War II, an American destroyer meets a German U-Boat. Both captains are good ones, and the engagement lasts for a considerable time.",
38   "title":"The Enemy Below",
39   "score":0.746050238609314
40 }
41 {
42   "plot":"Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.",
43   "title":"Saints and Soldiers",
44   "score":0.7435222864151001
45 }
46 {
47   "plot":"Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.",
48   "title":"Saints and Soldiers",
49   "score":0.743497371673584
50 }

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     '$vectorSearch': {
11       'index': 'vector_index', 
12       'path': 'plot_embedding', 
13       'queryVector': 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
14       'exact': True, 
15       'limit': 10
16     }
17   }, {
18     '$project': {
19       '_id': 0, 
20       'plot': 1, 
21       'title': 1, 
22       'score': {
23         '$meta': 'vectorSearchScore'
24       }
25     }
26   }
27 ]
28 
29 # run pipeline
30 result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)
31 
32 # print results
33 for i in result:
34     print(i)
35

1 {
2   'plot': 'It is the dawn of World War III. In mid-western America, a group of teenagers bands together to defend their town, and their country, from invading Soviet forces.', 
3   'title': 'Red Dawn', 
4   'score': 0.7700583338737488
5 }
6 {
7   'plot': 'A dramatization of the World War II Battle of Iwo Jima.', 
8   'title': 'Sands of Iwo Jima', 
9   'score': 0.7581185102462769
10 }
11 {
12   'plot': 'Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.', 
13   'title': 'White Tiger', 
14   'score': 0.750884473323822
15 }
16 {
17   'plot': "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.", 
18   'title': 'P-51 Dragon Fighter', 
19   'score': 0.749922513961792
20 }
21 {
22   'plot': 'A private in the latter days of WWII on the German front struggles between his will to survive and what his superiors perceive as a battlefield instinct.', 
23   'title': 'When Trumpets Fade', 
24   'score': 0.7498313188552856
25 }
26 {
27   'plot': 'Post World War III futuristic tale of collapsed governments & bankrupt countries heralding a new lawless age.', 
28   'score': 0.7497193217277527
29 }
30 {
31   'plot': 'It is post-World War III. War is outlawed. In its place, are matches between large Robots called Robot Jox. These matches take place between two large superpowers over disputed territories....', 
32   'title': 'Robot Jox', 
33   'score': 0.7495121955871582
34 }
35 {
36   'plot': 'During World War II, an American destroyer meets a German U-Boat. Both captains are good ones, and the engagement lasts for a considerable time.', 
37   'title': 'The Enemy Below', 
38   'score': 0.746050238609314}
39 {'plot': 'Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.', 'title': 'Saints and Soldiers', 'score': 0.7435222864151001
40 }
41 {
42   'plot': 'Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.', 
43   'title': 'Saints and Soldiers', 
44   'score': 0.743497371673584
45 }

后退

创建和管理索引

来年

检索增强生成 (RAG)

1	db.<collection>.aggregate([
2	{
3	"$vectorSearch": {
4	<query-syntax>
5	}
6	},
7	{
8	"$project": {
9	"<field-to-include>": 1,
10	"<field-to-exclude>": 0,
11	"score": { "$meta": "vectorSearchScore" }
12	}
13	}
14	])

1	db.embedded_movies.aggregate([
2	{
3	"$vectorSearch": {
4	"index": "vector_index",
5	"path": "plot_embedding",
6	"queryVector": 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12	"$project": {
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1	[
2	{
3	plot: 'A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.',
4	title: 'Thrill Seekers',
5	score: 0.7892671227455139
6	},
7	{
8	plot: 'At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.',
9	title: 'About Time',
10	score: 0.7843604683876038
11	},
12	{
13	plot: 'Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.',
14	title: 'The Time Machine',
15	score: 0.7801066637039185
16	},
17	{
18	plot: "After using his mother's newly built time machine, Dolf gets stuck involuntary in the year 1212. He ends up in a children's crusade where he confronts his new friends with modern techniques...",
19	title: 'Crusade in Jeans',
20	score: 0.7789170742034912
21	},
22	{
23	plot: 'An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.',
24	title: 'Timecop',
25	score: 0.7771612405776978
26	},
27	{
28	plot: 'A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...',
29	title: 'A.P.E.X.',
30	score: 0.7730885744094849
31	},
32	{
33	plot: "Agent J travels in time to M.I.B.'s early days in 1969 to stop an alien from assassinating his friend Agent K and changing history.",
34	title: 'Men in Black 3',
35	score: 0.7712380886077881
36	},
37	{
38	plot: 'Bound by a shared destiny, a teen bursting with scientific curiosity and a former boy-genius inventor embark on a mission to unearth the secrets of a place somewhere in time and space that exists in their collective memory.',
39	title: 'Tomorrowland',
40	score: 0.7669923901557922
41	},
42	{
43	plot: 'With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.',
44	title: 'Love Story 2050',
45	score: 0.7649372816085815
46	},
47	{
48	plot: 'A dimension-traveling wizard gets stuck in the 21st century because cell-phone radiation interferes with his magic. With his home world on the brink of war, he seeks help from a jaded ...',
49	title: 'The Portal',
50	score: 0.7640786170959473
51	}
52	]

1	db.embedded_movies.aggregate([
2	{
3	"$vectorSearch": {
4	"index": "vector-search-tutorial",
5	"path": "plot_embedding",
6	"filter": {
7	"$and": [
8	{
9	"year": { "$gt": 1955 }
10	},
11	{
12	"year": { "$lt": 1975 }
13	}
14	]
15	},
16	"queryVector": 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1	[
2	{
3	plot: 'In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...',
4	title: 'Peter Pan',
5	year: 1960,
6	score: 0.748110830783844
7	},
8	{
9	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.',
10	title: 'Chitty Chitty Bang Bang',
11	year: 1968,
12	score: 0.7442465424537659
13	},
14	{
15	plot: 'A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.',
16	title: 'That Man from Rio',
17	year: 1964,
18	score: 0.7416020035743713
19	},
20	{
21	plot: 'A pilot, stranded in the desert, meets a little boy who is a prince on a planet.',
22	title: 'The Little Prince',
23	year: 1974,
24	score: 0.7378944158554077
25	},
26	{
27	plot: 'A red balloon with a life of its own follows a little boy around the streets of Paris.',
28	title: 'The Red Balloon',
29	year: 1956,
30	score: 0.7342712879180908
31	},
32	{
33	plot: 'A poor boy wins the opportunity to tour the most eccentric and wonderful candy factory of all.',
34	title: 'Willy Wonka & the Chocolate Factory',
35	year: 1971,
36	score: 0.7342107892036438
37	},
38	{
39	plot: 'An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.',
40	title: 'Bedknobs and Broomsticks',
41	year: 1971,
42	score: 0.7339356541633606
43	},
44	{
45	plot: "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.",
46	title: 'Pastoral Hide and Seek',
47	year: 1974,
48	score: 0.733299970626831
49	},
50	{
51	plot: 'A young swordsman comes to Paris and faces villains, romance, adventure and intrigue with three Musketeer friends.',
52	title: 'The Three Musketeers',
53	year: 1973,
54	score: 0.7331198453903198
55	},
56	{
57	plot: 'A fairy-tale about a conceited young man and a young woman with a tyrannical step-mother, who must overcome magical trials in order to be together.',
58	title: 'Frosty',
59	year: 1964,
60	score: 0.7318308353424072
61	}
62	]

1	{ "plot" : "A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.", "title" : "Thrill Seekers", "score" : 0.78926712274551392 }
2	{ "plot" : "At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.", "title" : "About Time", "score" : 0.78436046838760376 }
3	{ "plot" : "Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.", "title" : "The Time Machine", "score" : 0.78010666370391846 }
4	{ "plot" : "After using his mother's newly built time machine, Dolf gets stuck involuntary in the year 1212. He ends up in a children's crusade where he confronts his new friends with modern techniques...", "title" : "Crusade in Jeans", "score" : 0.77891707420349121 }
5	{ "plot" : "An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.", "title" : "Timecop", "score" : 0.77716124057769775 }
6	{ "plot" : "A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...", "title" : "A.P.E.X.", "score" : 0.77308857440948486 }
7	{ "plot" : "Agent J travels in time to M.I.B.'s early days in 1969 to stop an alien from assassinating his friend Agent K and changing history.", "title" : "Men in Black 3", "score" : 0.77123808860778809 }
8	{ "plot" : "Bound by a shared destiny, a teen bursting with scientific curiosity and a former boy-genius inventor embark on a mission to unearth the secrets of a place somewhere in time and space that exists in their collective memory.", "title" : "Tomorrowland", "score" : 0.76699239015579224 }
9	{ "plot" : "With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.", "title" : "Love Story 2050", "score" : 0.76493728160858154 }
10	{ "plot" : "A dimension-traveling wizard gets stuck in the 21st century because cell-phone radiation interferes with his magic. With his home world on the brink of war, he seeks help from a jaded ...", "title" : "The Portal", "score" : 0.76407861709594727 }

1	{ "_id" : ObjectId("573a1395f29313caabce143b"), "plot" : "In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...", "title" : "Peter Pan", "year" : 1960, "score" : 0.74811083078384399 }
2	{ "_id" : ObjectId("573a1396f29313caabce34d3"), "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.", "title" : "Chitty Chitty Bang Bang", "year" : 1968, "score" : 0.74424654245376587 }
3	{ "_id" : ObjectId("573a1395f29313caabce23cb"), "plot" : "A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.", "title" : "That Man from Rio", "year" : 1964, "score" : 0.74160200357437134 }
4	{ "_id" : ObjectId("573a1396f29313caabce5648"), "plot" : "A pilot, stranded in the desert, meets a little boy who is a prince on a planet.", "title" : "The Little Prince", "year" : 1974, "score" : 0.73789441585540771 }
5	{ "_id" : ObjectId("573a1394f29313caabce000d"), "plot" : "A red balloon with a life of its own follows a little boy around the streets of Paris.", "title" : "The Red Balloon", "year" : 1956, "score" : 0.73427128791809082 }
6	{ "_id" : ObjectId("573a1396f29313caabce482f"), "plot" : "A poor boy wins the opportunity to tour the most eccentric and wonderful candy factory of all.", "title" : "Willy Wonka & the Chocolate Factory", "year" : 1971, "score" : 0.7342107892036438 }
7	{ "_id" : ObjectId("573a1396f29313caabce43e1"), "plot" : "An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.", "title" : "Bedknobs and Broomsticks", "year" : 1971, "score" : 0.7339356541633606 }
8	{ "_id" : ObjectId("573a1396f29313caabce54e6"), "plot" : "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", "title" : "Pastoral Hide and Seek", "year" : 1974, "score" : 0.73329997062683105 }
9	{ "_id" : ObjectId("573a1396f29313caabce582d"), "plot" : "A young swordsman comes to Paris and faces villains, romance, adventure and intrigue with three Musketeer friends.", "title" : "The Three Musketeers", "year" : 1973, "score" : 0.73311984539031982 }
10	{ "_id" : ObjectId("573a1395f29313caabce243e"), "plot" : "A fairy-tale about a conceited young man and a young woman with a tyrannical step-mother, who must overcome magical trials in order to be together.", "title" : "Frosty", "year" : 1964, "score" : 0.73183083534240723 }

1	Title: Thrill Seekers
2	Plot: A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.
3	Score: 0.7892671227455139
4
5	Title: About Time
6	Plot: At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.
7	Score: 0.7843604683876038
8
9	Title: The Time Machine
10	Plot: Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.
11	Score: 0.7801066637039185
12
13	Title: Crusade in Jeans
14	Plot: After using his mother's newly built time machine, Dolf gets stuck involuntary in the year 1212. He ends up in a children's crusade where he confronts his new friends with modern techniques...
15	Score: 0.7789170742034912
16
17	Title: Timecop
18	Plot: An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.
19	Score: 0.7771612405776978
20
21	Title: A.P.E.X.
22	Plot: A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...
23	Score: 0.7730885744094849
24
25	Title: Men in Black 3
26	Plot: Agent J travels in time to M.I.B.'s early days in 1969 to stop an alien from assassinating his friend Agent K and changing history.
27	Score: 0.7712380886077881
28
29	Title: Tomorrowland
30	Plot: Bound by a shared destiny, a teen bursting with scientific curiosity and a former boy-genius inventor embark on a mission to unearth the secrets of a place somewhere in time and space that exists in their collective memory.
31	Score: 0.7669923901557922
32
33	Title: Love Story 2050
34	Plot: With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.
35	Score: 0.7649372816085815
36
37	Title: The Portal
38	Plot: A dimension-traveling wizard gets stuck in the 21st century because cell-phone radiation interferes with his magic. With his home world on the brink of war, he seeks help from a jaded ...
39	Score: 0.7640786170959473

1	Title: Peter Pan
2	Plot: In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...
3	Year: 1960
4	Score: 0.748110830783844
5
6	Title: Chitty Chitty Bang Bang
7	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.
8	Year: 1968
9	Score: 0.7442465424537659
10
11	Title: That Man from Rio
12	Plot: A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.
13	Year: 1964
14	Score: 0.7416020035743713
15
16	Title: The Little Prince
17	Plot: A pilot, stranded in the desert, meets a little boy who is a prince on a planet.
18	Year: 1974
19	Score: 0.7378944158554077
20
21	Title: The Red Balloon
22	Plot: A red balloon with a life of its own follows a little boy around the streets of Paris.
23	Year: 1956
24	Score: 0.7342712879180908
25
26	Title: Willy Wonka & the Chocolate Factory
27	Plot: A poor boy wins the opportunity to tour the most eccentric and wonderful candy factory of all.
28	Year: 1971
29	Score: 0.7342107892036438
30
31	Title: Bedknobs and Broomsticks
32	Plot: An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.
33	Year: 1971
34	Score: 0.7339356541633606
35
36	Title: Pastoral Hide and Seek
37	Plot: A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.
38	Year: 1974
39	Score: 0.733299970626831
40
41	Title: The Three Musketeers
42	Plot: A young swordsman comes to Paris and faces villains, romance, adventure and intrigue with three Musketeer friends.
43	Year: 1973
44	Score: 0.7331198453903198
45
46	Title: Frosty
47	Plot: A fairy-tale about a conceited young man and a young woman with a tyrannical step-mother, who must overcome magical trials in order to be together.
48	Year: 1964
49	Score: 0.7318308353424072

1	{"plot": "A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.", "title": "Thrill Seekers", "score": 0.7892671227455139}
2	{"plot": "At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.", "title": "About Time", "score": 0.7843604683876038}
3	{"plot": "Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.", "title": "The Time Machine", "score": 0.7801066637039185}
4	{"plot": "After using his mother's newly built time machine, Dolf gets stuck involuntary in the year 1212. He ends up in a children's crusade where he confronts his new friends with modern techniques...", "title": "Crusade in Jeans", "score": 0.7789170742034912}
5	{"plot": "An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.", "title": "Timecop", "score": 0.7771612405776978}
6	{"plot": "A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...", "title": "A.P.E.X.", "score": 0.7730885744094849}
7	{"plot": "Agent J travels in time to M.I.B.'s early days in 1969 to stop an alien from assassinating his friend Agent K and changing history.", "title": "Men in Black 3", "score": 0.7712380886077881}
8	{"plot": "Bound by a shared destiny, a teen bursting with scientific curiosity and a former boy-genius inventor embark on a mission to unearth the secrets of a place somewhere in time and space that exists in their collective memory.", "title": "Tomorrowland", "score": 0.7669923901557922}
9	{"plot": "With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.", "title": "Love Story 2050", "score": 0.7649372816085815}
10	{"plot": "A dimension-traveling wizard gets stuck in the 21st century because cell-phone radiation interferes with his magic. With his home world on the brink of war, he seeks help from a jaded ...", "title": "The Portal", "score": 0.7640786170959473}

1	{"plot": "In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...", "title": "Peter Pan", "year": 1960, "score": 0.748110830783844}
2	{"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.", "title": "Chitty Chitty Bang Bang", "year": 1968, "score": 0.7442465424537659}
3	{"plot": "A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.", "title": "That Man from Rio", "year": 1964, "score": 0.7416020035743713}
4	{"plot": "A pilot, stranded in the desert, meets a little boy who is a prince on a planet.", "title": "The Little Prince", "year": 1974, "score": 0.7378944158554077}
5	{"plot": "A red balloon with a life of its own follows a little boy around the streets of Paris.", "title": "The Red Balloon", "year": 1956, "score": 0.7342712879180908}
6	{"plot": "A poor boy wins the opportunity to tour the most eccentric and wonderful candy factory of all.", "title": "Willy Wonka & the Chocolate Factory", "year": 1971, "score": 0.7342107892036438}
7	{"plot": "An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.", "title": "Bedknobs and Broomsticks", "year": 1971, "score": 0.7339356541633606}
8	{"plot": "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", "title": "Pastoral Hide and Seek", "year": 1974, "score": 0.733299970626831}
9	{"plot": "A young swordsman comes to Paris and faces villains, romance, adventure and intrigue with three Musketeer friends.", "title": "The Three Musketeers", "year": 1973, "score": 0.7331198453903198}
10	{"plot": "A fairy-tale about a conceited young man and a young woman with a tyrannical step-mother, who must overcome magical trials in order to be together.", "title": "Frosty", "year": 1964, "score": 0.7318308353424072}

1	'{"plot":"A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.","title":"Thrill Seekers","score":0.7892671227455139}'
2	'{"plot":"At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.","title":"About Time","score":0.7843604683876038}'
3	'{"plot":"Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.","title":"The Time Machine","score":0.7801066637039185}'
4	`{"plot":"After using his mother's newly built time machine, Dolf gets stuck involuntary in the year 1212. He ends up in a children's crusade where he confronts his new friends with modern techniques...","title":"Crusade in Jeans","score":0.7789170742034912}`
5	'{"plot":"An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.","title":"Timecop","score":0.7771612405776978}'
6	'{"plot":"A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...","title":"A.P.E.X.","score":0.7730885744094849}'
7	`{"plot":"Agent J travels in time to M.I.B.'s early days in 1969 to stop an alien from assassinating his friend Agent K and changing history.","title":"Men in Black 3","score":0.7712380886077881}`
8	'{"plot":"Bound by a shared destiny, a teen bursting with scientific curiosity and a former boy-genius inventor embark on a mission to unearth the secrets of a place somewhere in time and space that exists in their collective memory.","title":"Tomorrowland","score":0.7669923901557922}'
9	'{"plot":"With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.","title":"Love Story 2050","score":0.7649372816085815}'
10	'{"plot":"A dimension-traveling wizard gets stuck in the 21st century because cell-phone radiation interferes with his magic. With his home world on the brink of war, he seeks help from a jaded ...","title":"The Portal","score":0.7640786170959473}'

1	'{"plot":"In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...","title":"Peter Pan","year":1960,"score":0.748110830783844}'
2	'{"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.","title":"Chitty Chitty Bang Bang","year":1968,"score":0.7442465424537659}'
3	'{"plot":"A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.","title":"That Man from Rio","year":1964,"score":0.7416020035743713}'
4	'{"plot":"A boy raised by wolves tries to adapt to human village life.","title":"Jungle Book","year":1942,"score":0.7387760877609253}'
5	'{"plot":"A pilot, stranded in the desert, meets a little boy who is a prince on a planet.","title":"The Little Prince","year":1974,"score":0.7378944158554077}'
6	'{"plot":"A red balloon with a life of its own follows a little boy around the streets of Paris.","title":"The Red Balloon","year":1956,"score":0.7342712879180908}'
7	'{"plot":"A poor boy wins the opportunity to tour the most eccentric and wonderful candy factory of all.","title":"Willy Wonka & the Chocolate Factory","year":1971,"score":0.7342107892036438}'
8	'{"plot":"An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.","title":"Bedknobs and Broomsticks","year":1971,"score":0.7339356541633606}'
9	'{"plot":"Arriving home to find his native land under the yoke of corrupt merchants, an adventurer named Sadko sets sail in search of a mythical bird of happiness.","title":"Sadko","year":1953,"score":0.7339220643043518}'
10	'{"plot":"A young boy’s coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.","title":"Pastoral Hide and Seek","year":1974,"score":0.733299970626831}';

1	{'plot': 'A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.', 'title': 'Thrill Seekers', 'score': 0.7892671227455139}
2	{'plot': 'At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.', 'title': 'About Time', 'score': 0.7843604683876038}
3	{'plot': 'Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.', 'title': 'The Time Machine', 'score': 0.7801066637039185}
4	{'plot': "After using his mother's newly built time machine, Dolf gets stuck involuntary in the year 1212. He ends up in a children's crusade where he confronts his new friends with modern techniques...", 'title': 'Crusade in Jeans', 'score': 0.7789170742034912}
5	{'plot': 'An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.', 'title': 'Timecop', 'score': 0.7771612405776978}
6	{'plot': 'A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...', 'title': 'A.P.E.X.', 'score': 0.7730885744094849}
7	{'plot': "Agent J travels in time to M.I.B.'s early days in 1969 to stop an alien from assassinating his friend Agent K and changing history.", 'title': 'Men in Black 3', 'score': 0.7712380886077881}
8	{'plot': 'Bound by a shared destiny, a teen bursting with scientific curiosity and a former boy-genius inventor embark on a mission to unearth the secrets of a place somewhere in time and space that exists in their collective memory.', 'title': 'Tomorrowland', 'score': 0.7669923901557922}
9	{'plot': 'With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.', 'title': 'Love Story 2050', 'score': 0.7649372816085815}
10	{'plot': 'A dimension-traveling wizard gets stuck in the 21st century because cell-phone radiation interferes with his magic. With his home world on the brink of war, he seeks help from a jaded ...', 'title': 'The Portal', 'score': 0.7640786170959473}

1	{'plot': 'In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...', 'title': 'Peter Pan', 'year': 1960, 'score': 0.748110830783844}
2	{'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.', 'title': 'Chitty Chitty Bang Bang', 'year': 1968, 'score': 0.7442465424537659}
3	{'plot': 'A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.', 'title': 'That Man from Rio', 'year': 1964, 'score': 0.7416020035743713}
4	{'plot': 'A boy raised by wolves tries to adapt to human village life.', 'title': 'Jungle Book', 'year': 1942, 'score': 0.7387760877609253}
5	{'plot': 'A pilot, stranded in the desert, meets a little boy who is a prince on a planet.', 'title': 'The Little Prince', 'year': 1974, 'score': 0.7378944158554077}
6	{'plot': 'A red balloon with a life of its own follows a little boy around the streets of Paris.', 'title': 'The Red Balloon', 'year': 1956, 'score': 0.7342712879180908}
7	{'plot': 'A poor boy wins the opportunity to tour the most eccentric and wonderful candy factory of all.', 'title': 'Willy Wonka & the Chocolate Factory', 'year': 1971, 'score': 0.7342107892036438}
8	{'plot': 'An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.', 'title': 'Bedknobs and Broomsticks', 'year': 1971, 'score': 0.7339356541633606}
9	{'plot': 'Arriving home to find his native land under the yoke of corrupt merchants, an adventurer named Sadko sets sail in search of a mythical bird of happiness.', 'title': 'Sadko', 'year': 1953, 'score': 0.7339220643043518}
10	{'plot': "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", 'title': 'Pastoral Hide and Seek', 'year': 1974, 'score': 0.733299970626831}

1	[
2	{
3	plot: 'It is the dawn of World War III. In mid-western America, a group of teenagers bands together to defend their town, and their country, from invading Soviet forces.',
4	title: 'Red Dawn',
5	score: 0.7700583338737488
6	},
7	{
8	plot: 'A dramatization of the World War II Battle of Iwo Jima.',
9	title: 'Sands of Iwo Jima',
10	score: 0.7581185102462769
11	},
12	{
13	plot: 'Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.',
14	title: 'White Tiger',
15	score: 0.750884473323822
16	},
17	{
18	plot: "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.",
19	title: 'P-51 Dragon Fighter',
20	score: 0.749922513961792
21	},
22	{
23	plot: 'A private in the latter days of WWII on the German front struggles between his will to survive and what his superiors perceive as a battlefield instinct.',
24	title: 'When Trumpets Fade',
25	score: 0.7498313188552856
26	},
27	{
28	plot: 'Post World War III futuristic tale of collapsed governments & bankrupt countries heralding a new lawless age.',
29	title: 'Battletruck',
30	score: 0.7497193217277527
31	},
32	{
33	plot: 'It is post-World War III. War is outlawed. In its place, are matches between large Robots called Robot Jox. These matches take place between two large superpowers over disputed territories....',
34	title: 'Robot Jox',
35	score: 0.7495121955871582
36	},
37	{
38	plot: 'During World War II, an American destroyer meets a German U-Boat. Both captains are good ones, and the engagement lasts for a considerable time.',
39	title: 'The Enemy Below',
40	score: 0.746050238609314
41	},
42	{
43	plot: 'Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.',
44	title: 'Saints and Soldiers',
45	score: 0.7435222864151001
46	},
47	{
48	plot: 'Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.',
49	title: 'Saints and Soldiers',
50	score: 0.743497371673584
51	}
52	]

1	Title: Red Dawn
2	Plot: It is the dawn of World War III. In mid-western America, a group of teenagers bands together to defend their town, and their country, from invading Soviet forces.
3	Score: 0.7700583338737488
4
5	Title: Sands of Iwo Jima
6	Plot: A dramatization of the World War II Battle of Iwo Jima.
7	Score: 0.7581185102462769
8
9	Title: White Tiger
10	Plot: Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.
11	Score: 0.750884473323822
12
13	Title: P-51 Dragon Fighter
14	Plot: As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.
15	Score: 0.749922513961792
16
17	Title: When Trumpets Fade
18	Plot: A private in the latter days of WWII on the German front struggles between his will to survive and what his superiors perceive as a battlefield instinct.
19	Score: 0.7498313188552856
20
21	Title: Battletruck
22	Plot: Post World War III futuristic tale of collapsed governments & bankrupt countries heralding a new lawless age.
23	Score: 0.7497193217277527
24
25	Title: Robot Jox
26	Plot: It is post-World War III. War is outlawed. In its place, are matches between large Robots called Robot Jox. These matches take place between two large superpowers over disputed territories....
27	Score: 0.7495121955871582
28
29	Title: The Enemy Below
30	Plot: During World War II, an American destroyer meets a German U-Boat. Both captains are good ones, and the engagement lasts for a considerable time.
31	Score: 0.746050238609314
32
33	Title: Saints and Soldiers
34	Plot: Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.
35	Score: 0.7435222864151001
36
37	Title: Saints and Soldiers
38	Plot: Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.
39	Score: 0.743497371673584

1	{
2	"plot":"It is the dawn of World War III. In mid-western America, a group of teenagers bands together to defend their town, and their country, from invading Soviet forces.",
3	"title":"Red Dawn",
4	"score":0.7700583338737488
5	}
6	{
7	"plot":"A dramatization of the World War II Battle of Iwo Jima.",
8	"title":"Sands of Iwo Jima",
9	"score":0.7581185102462769
10	}
11	{
12	"plot":"Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.",
13	"title":"White Tiger",
14	"score":0.750884473323822
15	}
16	{
17	"plot":"As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.",
18	"title":"P-51 Dragon Fighter",
19	"score":0.749922513961792
20	}
21	{
22	"plot":"A private in the latter days of WWII on the German front struggles between his will to survive and what his superiors perceive as a battlefield instinct.",
23	"title":"When Trumpets Fade",
24	"score":0.7498313188552856
25	}
26	{
27	"plot":"Post World War III futuristic tale of collapsed governments & bankrupt countries heralding a new lawless age.",
28	"title":"Battletruck",
29	"score":0.7497193217277527
30	}
31	{
32	"plot":"It is post-World War III. War is outlawed. In its place, are matches between large Robots called Robot Jox. These matches take place between two large superpowers over disputed territories....",
33	"title":"Robot Jox",
34	"score":0.7495121955871582
35	}
36	{
37	"plot":"During World War II, an American destroyer meets a German U-Boat. Both captains are good ones, and the engagement lasts for a considerable time.",
38	"title":"The Enemy Below",
39	"score":0.746050238609314
40	}
41	{
42	"plot":"Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.",
43	"title":"Saints and Soldiers",
44	"score":0.7435222864151001
45	}
46	{
47	"plot":"Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.",
48	"title":"Saints and Soldiers",
49	"score":0.743497371673584
50	}

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	'$vectorSearch': {
11	'index': 'vector_index',
12	'path': 'plot_embedding',
13	'queryVector': 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14	'exact': True,
15	'limit': 10
16	}
17	}, {
18	'$project': {
19	'_id': 0,
20	'plot': 1,
21	'title': 1,
22	'score': {
23	'$meta': 'vectorSearchScore'
24	}
25	}
26	}
27	]
28
29	# run pipeline
30	result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)
31
32	# print results
33	for i in result:
34	print(i)
35

1	{
2	'plot': 'It is the dawn of World War III. In mid-western America, a group of teenagers bands together to defend their town, and their country, from invading Soviet forces.',
3	'title': 'Red Dawn',
4	'score': 0.7700583338737488
5	}
6	{
7	'plot': 'A dramatization of the World War II Battle of Iwo Jima.',
8	'title': 'Sands of Iwo Jima',
9	'score': 0.7581185102462769
10	}
11	{
12	'plot': 'Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.',
13	'title': 'White Tiger',
14	'score': 0.750884473323822
15	}
16	{
17	'plot': "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.",
18	'title': 'P-51 Dragon Fighter',
19	'score': 0.749922513961792
20	}
21	{
22	'plot': 'A private in the latter days of WWII on the German front struggles between his will to survive and what his superiors perceive as a battlefield instinct.',
23	'title': 'When Trumpets Fade',
24	'score': 0.7498313188552856
25	}
26	{
27	'plot': 'Post World War III futuristic tale of collapsed governments & bankrupt countries heralding a new lawless age.',
28	'score': 0.7497193217277527
29	}
30	{
31	'plot': 'It is post-World War III. War is outlawed. In its place, are matches between large Robots called Robot Jox. These matches take place between two large superpowers over disputed territories....',
32	'title': 'Robot Jox',
33	'score': 0.7495121955871582
34	}
35	{
36	'plot': 'During World War II, an American destroyer meets a German U-Boat. Both captains are good ones, and the engagement lasts for a considerable time.',
37	'title': 'The Enemy Below',
38	'score': 0.746050238609314}
39	{'plot': 'Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.', 'title': 'Saints and Soldiers', 'score': 0.7435222864151001
40	}
41	{
42	'plot': 'Four American soldiers and one Brit fighting in Europe during World War II struggle to return to Allied territory after being separated from U.S. forces during the historic Malmedy Massacre.',
43	'title': 'Saints and Soldiers',
44	'score': 0.743497371673584
45	}