Executar queries no Vector Search

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Definição

PesquisaANN
Pesquisa ENN
Sintaxe
Campos
Comportamento
Índice do Atlas Vector Search
Pontuação do Atlas Vector Search
Pré-filtro do Atlas Vector Search
Limitações
Clientes aceitos
Paralelização da Execução de Consultas Entre Segmentos
Exemplos
Exemplos de ANN
Exemplo de ENN

As queries do Atlas Vector Search têm a forma de um aggregation pipeline stage. Para as $vectorSearch queries, o Atlas Vector Search retorna os resultados da sua semântica Atlas Search.

Observação

O Atlas Vector Search suporta pesquisa ANN em clusters que executam o MongoDB v6.0.11, v7.0.2 ou posterior e pesquisa ENN em clusters que executam o MongoDB v6.0.16, v7.0.10, v7.3.2 ou posterior.

Definição

O estágio $vectorSearch realiza uma pesquisa ANN ou ENN em um vetor no campo especificado.

PesquisaANN

Para pesquisa de ANN , o Atlas Vector Search encontra incorporações vetoriais em seus dados que estão mais próximas da incorporação vetorial em sua query com base em sua proximidade no espaço multidimensional e com base no número de vizinhos que ele considera. Utiliza os Mundos Pequenos Hierárquicos Navegáveis algoritmo e encontra as incorporações vetoriais mais semelhantes à incorporação vetorial em sua consulta sem analisar todos os vetores. Portanto, a pesquisaANN é ideal para consultar grandes conjuntos de dados sem filtragem significativa.

PesquisaENN

Para a pesquisa ENN , o Atlas Vector Search pesquisa exaustivamente todas as incorporações de vetor indexadas calculando a distância entre todas as incorporações e encontra o vizinho mais próximo exato para a incorporação do vetor em sua consulta. Isso é computacionalmente intensivo e pode afetar negativamente a latência da query. Portanto, recomendamos pesquisas ENN para os seguintes casos de uso:

Você deseja determinar a recuperação e a precisão da sua consulta ANN usando os resultados exatos e ideais para a consulta ENN .
Você deseja consultar menos de 10000 documentos sem precisar ajustar o número de vizinhos mais próximos a considerar.
Se deseja incluir pré-filtros seletivos em sua query de collections em que menos de 5% dos seus dados atende ao pré-filtro fornecido.

Sintaxe

O campo que você deseja pesquisar deve ser indexado como tipo devetor Atlas Vector Search dentro de um tipo de índice vectorSearch .

$vectorSearch

Um pipeline $vectorSearch tem a seguinte forma de protótipo:

{
  "$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>]
  }
}

Campos

O estágio $vectorSearch recebe um documento com os seguintes campos:

Campo	Tipo	necessidade	Descrição
`exact`	booleano	Opcional	Isto é necessário se `numCandidates` for omitido. Sinalizador que especifica se a pesquisa ENN ou ANN deve ser executada. O valor pode ser um dos seguintes: `false` - para executar a pesquisa ANN `true` - para executar a pesquisa ENN Se omitido, o padrão é `false`. A pesquisa ENN é suportada em clusters Atlas executando MongoDB versão 6.0.16, 7.0.10, 7.32 ou posterior.
`filter`	documento	Opcional	Qualquer expressão de correspondência MQL que compare um campo indexado com um booleano, data, objectId, número (não decimal) ou string para usar como pré-filtro. Para saber quais operadores de query e pipeline de agregação o Atlas Vector Search suporta em seu filtro, consulte Pré-filtro do Atlas Vector Search.
`index`	string	Obrigatório	Nome do índice do Atlas Vector Search para usar. Atlas Vector Search não retorna resultados se você digitar incorretamente o nome do index ou se o index especificado ainda não existir no cluster.
`limit`	número	Obrigatório	Número (somente do tipo `int` ) de documentos para retornar nos resultados. Esse valor não pode exceder o valor de `numCandidates` se você especificar `numCandidates`.
`numCandidates`	número	Opcional	Este campo é obrigatório se `exact` for `false` ou omitido. Número de vizinhos mais próximos a serem utilizados durante a pesquisa. O valor deve ser menor ou igual a (`<=`) `10000`. Você não pode especificar um número menor que o número de documentos a serem retornados (`limit`). Recomendamos que você especifique um número maior que o número de documento a serem devolvidos (`limit`) para aumentar a precisão, embora isso possa impacto a latência. Por exemplo, recomendamos uma proporção de dez a vinte vizinhos mais próximos para um limite de apenas um documento. Esse padrão de solicitação excessiva é a maneira recomendada de compensar a latência e a recuperação em suas pesquisar de ANN , e recomendamos ajustar isso em seu conjunto de dados específico.
`path`	string	Obrigatório	Campo de tipo vectorEmbedding indexado para pesquisar. Para saber mais, consulte Construção de caminhos.
`queryVector`	array de números	Obrigatório	Matriz de números do tipo `double` BSON que representam o vetor de consulta. O tamanho da matriz deve corresponder ao número de vetores `dimensions` especificado na definição de índice do campo. Observação Você deve incorporar sua query com o mesmo modelo que utilizou para incorporar os dados.

Comportamento

$vectorSearch deve ser o primeiro estágio de qualquer pipeline onde aparece.

Índice do Atlas Vector Search

Você deve indexar os campos a serem pesquisados usando o estágio $vectorSearch dentro de uma definição de índice do tipo vectorSearch . Você pode indexar os seguintes tipos de campos em uma definição de índice do tipo vectorSearch do Atlas Vector Search:

Campos que contêm incorporações vetoriais como tipo de vetor.
Campos que contêm valores booleanos, de data, objectId, numéricos e de string como tipo de filtro para permitir a pesquisa vetorial em dados pré-filtrados.

Para saber mais sobre esses tipos de campo do Atlas Vector Search, consulte Como indexar campos para o Vector Search.

Pontuação do Atlas Vector Search

O Atlas Vector Search atribui uma pontuação, em um intervalo fixo de 0 a 1 somente, a cada documento que ele retorna. Para semelhanças entre cosine e dotProduct, o Atlas Vector Search normaliza a pontuação usando o algoritmo abaixo:

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

A pontuação atribuída a um documento retornado faz parte dos metadados do documento. Para incluir a pontuação de cada documento retornado junto com o conjunto de resultados, use um estágio $project em seu pipeline de agregação.

Para recuperar a pontuação dos resultados do Atlas Vector Search, use vectorSearchScore como o valor na expressão $meta . Ou seja, após o estágio $vectorSearch, no estágio $project, o campo score recebe a expressão $meta. A expressão exige o valor vectorSearchScore para retornar a pontuação dos documentos para a pesquisa vetorial.

Exemplo

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 ])

Observação

A pré-filtragem dos seus dados não afeta a pontuação que o Atlas Vector Search retorna usando $vectorSearchScore para $vectorSearch queries.

Pré-filtro do Atlas Vector Search

A opção $vectorSearch filter corresponde apenas a valores booleanos, de data, de objectId, de cadeia de caracteres e numéricos BSON . Você deve indexar os campos nos quais deseja filtrar os dados como tipo filtro em uma definição de índice do tipo vectorSearch . É útil filtrar os dados para restringir o escopo da pesquisa semântica e garantir que nem todos os vetores sejam considerados para comparação.

O Atlas Vector Search suporta a opção $vectorSearch filter para as seguintes expressões de correspondência MQL , com exceção de certas limitações:

A opção $vectorSearch filter aceita somente os seguintes operadores de pipeline de agregação:

Observação

A $vectorSearch filter opção não suporta outros operadores de pipeline de agregação e consulta .

Limitações

$vectorSearch é suportado apenas em clusters Atlas que executam as seguintes versões MongoDB:

v6.0.11
v7.0.2 e posterior (incluindo RCs).

A opção $vectorSearch filter em campos com o tipo objectId não suporta as seguintes expressões de correspondência MQL :

$vectorSearch não pode ser usado na definição de exibição e nos seguintes estágios de pipeline:

$lookup sub-pipeline
$unionWith sub-pipeline
$facet estágio do pipeline

Você pode passar os resultados de $vectorSearch para esse estágio.

Clientes aceitos

Você pode executar $vectorSearch queries usando o Atlas Data Explorer, mongosh e os seguintes drivers:

Você também pode utilizar a Pesquisa de Vetor do Atlas com implementações locais do Atlas que você cria com o Atlas CLI. Para saber mais, consulte Criar uma implantação de Atlas local.

Paralelização da Execução de Consultas Entre Segmentos

Recomendamos nós de pesquisa dedicados para isolar o processamento de query de pesquisa vetorial. Você poderá ver o desempenho aprimorado da consulta nos nós de pesquisa dedicados. Observe que os sistemas de alta CPU podem fornecer mais melhorias de desempenho. Quando o Atlas Vector Search é executado em nós de pesquisa, o Atlas Vector Search paraleliza a execução da query em segmentos de dados.

A paralelização do processamento de consultas melhora o tempo de resposta em muitos casos, como consultas em grandes conjuntos de dados. O uso do paralelismo entre consultas durante o processamento de consultas do Atlas Vector Search utiliza mais recursos, mas melhora a latência de cada consulta individual.

Observação

O Atlas Vector Search não garante que cada consulta seja executada simultaneamente. Por exemplo, quando muitas consultas simultâneas estão na fila, o Atlas Vector Search pode voltar à execução de um único thread.

Exemplos

As consultas a seguir pesquisam a coleção de amostras sample_mflix.embedded_movies usando o estágio $vectorSearch . As consultas pesquisam no campo plot_embedding , que contém embeddings criados utilizando o modelo de embeddings text-embedding-ada-002 do OpenAI. Se você adicionou a coleção de amostra ao seu cluster Atlas e criou os índices de amostra da coleção, você poderá executar as seguintes consultas na coleção.

Observação

Colar o queryVector do código de exemplo em seu terminal pode demorar um pouco dependendo da sua máquina.

➤ Use o menu suspenso Selecione a linguagem para definir a linguagem dos exemplos nesta página.

Exemplos deANN

A seguinte query utiliza o estágio $vectorSearch para pesquisar o campo plot_embedding utilizando incorporações vetoriais para a viagem no tempo de string . Considera até 150 vizinhos mais próximos e retorna 10 documentos nos resultados. A query também especifica um estágio $project para fazer o seguinte:

Excluir o campo _id e inclua somente os campos plot e title nos resultados.
Adicione um campo denominado score que mostra a pontuação do Vector Search para cada documento nos resultados.

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 ]

A query a seguir filtra os documentos para filmes lançados entre 01 de janeiro de 1955 e 01 de janeiro de 1975 antes de executar o Atlas Search semântica em relação aos dados vetoriais de amostra. Utiliza o operador $and para executar uma operação lógica AND das datas especificadas. Em seguida, ele pesquisa o campo plot_embedding nos documentos filtrados para 150 vizinhos mais próximos usando as incorporações vetoriais para a string playground e retorna 10 documentos nos resultados. A consulta também especifica um estágio $project para fazer o seguinte:

Exclua o campo _id e inclua apenas os campos plot, title e year nos resultados.
Adicione um campo denominado score que mostra a pontuação do Atlas Vector Search dos documentos nos resultados.

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 ]

O Atlas Vector Search filtra o documento com base no valor do campo year , que varia entre 1955 e 1975. Ela retorna documento que resumem as aventuras infantis na trama de filmes lançados entre 1955 e 1975.

Dica

Veja também: Exemplos adicionais de filtros

O tutorial Como pesquisar a pesquisa semântica contra dados do seu cluster do Atlas demonstra outros pré-filtros em query de pesquisa de pesquisa semântica em relação aos dados incorporados na collection sample_mflix.embedded_movies .

Excluir o campo _id e inclua somente os campos plot e title nos resultados.
Adicione um campo denominado score que mostra a pontuação do Vector Search para cada documento nos resultados.

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

1 { "_id" : ObjectId("573a13a0f29313caabd04a4f"), "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 { "_id" : ObjectId("573a13d8f29313caabda6557"), "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 { "_id" : ObjectId("573a13a5f29313caabd13b4b"), "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 { "_id" : ObjectId("573a13aef29313caabd2e2d7"), "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 { "_id" : ObjectId("573a1399f29313caabceec0e"), "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 { "_id" : ObjectId("573a1399f29313caabcee36f"), "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 { "_id" : ObjectId("573a13c6f29313caabd715d3"), "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 { "_id" : ObjectId("573a13d4f29313caabd98c13"), "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 { "_id" : ObjectId("573a13b6f29313caabd477fa"), "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 { "_id" : ObjectId("573a13e5f29313caabdc40c9"), "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 }

Exclua o campo _id e inclua apenas os campos plot, title e year nos resultados.
Adicione um campo denominado score que mostra a pontuação do Atlas Vector Search dos documentos nos resultados.

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 }

Dica

Veja também: Exemplos adicionais de filtros

Excluir o campo _id e inclua somente os campos plot e title nos resultados.
Adicione um campo denominado score que mostra a pontuação do Vector Search para cada documento nos resultados.

1 import static com.mongodb.client.model.Aggregates.*;
2 import static com.mongodb.client.model.Projections.*;
3 import static com.mongodb.client.model.search.SearchPath.fieldPath;
4 import static java.util.Arrays.asList;
5 import com.mongodb.client.MongoClient;
6 import com.mongodb.client.MongoClients;
7 import com.mongodb.client.MongoCollection;
8 import com.mongodb.client.MongoDatabase;
9 import java.util.List;
10 import com.mongodb.client.model.search.FieldSearchPath;
11 import org.bson.Document;
12 import org.bson.conversions.Bson;
13 
14 public class BasicQuery {
15   public static void main( String[] args ) {
16     // specify connection
17     String uri = "<connection-string>";
18 
19     // establish connection and set namespace
20     try (MongoClient mongoClient = MongoClients.create(uri)) {
21       MongoDatabase database = mongoClient.getDatabase("sample_mflix");
22       MongoCollection<Document> collection = database.getCollection("embedded_movies");
23       
24   	  // define $vectorSearch query options 
25 	    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, -0.0058480743d, -0.020153364d, -0.0032805866d, 0.004248601d, 0.0051449724d, 0.006791097d, 0.007650814d, 0.003458861d, -0.0031223053d, -0.01932697d, -0.033615597d, 0.00745088d, 0.006321252d, -0.0038154104d, 0.014555207d, 0.027697546d, -0.02828402d, 0.0066711367d, 0.0077107945d, 0.01794076d, 0.011349596d, -0.0052715978d, 0.014755142d, -0.019753495d, -0.011156326d, 0.011202978d, 0.022126047d, 0.00846388d, 0.030549942d, -0.0041386373d, 0.018847128d, -0.00033655585d, 0.024925126d, -0.003555496d, -0.019300312d, 0.010749794d, 0.0075308536d, -0.018287312d, -0.016567878d, -0.012869096d, -0.015528221d, 0.0078107617d, -0.011156326d, 0.013522214d, -0.020646535d, -0.01211601d, 0.055928253d, 0.011596181d, -0.017247654d, 0.0005939711d, -0.026977783d, -0.003942035d, -0.009583511d, -0.0055248477d, -0.028737204d, 0.023179034d, 0.003995351d, 0.0219661d, -0.008470545d, 0.023392297d, 0.010469886d, -0.015874773d, 0.007890735d, -0.009690142d, -0.00024970944d, 0.012775794d, 0.0114762215d, 0.013422247d, 0.010429899d, -0.03686786d, -0.006717788d, -0.027484283d, 0.011556195d, -0.036068123d, -0.013915418d, -0.0016327957d, 0.0151016945d, -0.020473259d, 0.004671795d, -0.012555866d, 0.0209531d, 0.01982014d, 0.024485271d, 0.0105431955d, -0.005178295d, 0.033162415d, -0.013795458d, 0.007150979d, 0.010243294d, 0.005644808d, 0.017260984d, -0.0045618312d, 0.0024725192d, 0.004305249d, -0.008197301d, 0.0014203656d, 0.0018460588d, 0.005015015d, -0.011142998d, 0.01439526d, 0.022965772d, 0.02552493d, 0.007757446d, -0.0019726837d, 0.009503538d, -0.032042783d, 0.008403899d, -0.04609149d, 0.013808787d, 0.011749465d, 0.036388017d, 0.016314628d, 0.021939443d, -0.0250051d, -0.017354285d, -0.012962398d, 0.00006107364d, 0.019113706d, 0.03081652d, -0.018114036d, -0.0084572155d, 0.009643491d, -0.0034721901d, 0.0072642746d, -0.0090636825d, 0.01642126d, 0.013428912d, 0.027724205d, 0.0071243206d, -0.6858542d, -0.031029783d, -0.014595194d, -0.011449563d, 0.017514233d, 0.01743426d, 0.009950057d, 0.0029706885d, -0.015714826d, -0.001806072d, 0.011856096d, 0.026444625d, -0.0010663156d, -0.006474535d, 0.0016161345d, -0.020313311d, 0.0148351155d, -0.0018393943d, 0.0057347785d, 0.018300641d, -0.018647194d, 0.03345565d, -0.008070676d, 0.0071443142d, 0.014301958d, 0.0044818576d, 0.003838736d, -0.007350913d, -0.024525259d, -0.001142124d, -0.018620536d, 0.017247654d, 0.007037683d, 0.010236629d, 0.06046009d, 0.0138887605d, -0.012122675d, 0.037694257d, 0.0055081863d, 0.042492677d, 0.00021784494d, -0.011656162d, 0.010276617d, 0.022325981d, 0.005984696d, -0.009496873d, 0.013382261d, -0.0010563189d, 0.0026507939d, -0.041639622d, 0.008637156d, 0.026471283d, -0.008403899d, 0.024858482d, -0.00066686375d, -0.0016252982d, 0.027590916d, 0.0051449724d, 0.0058647357d, -0.008743787d, -0.014968405d, 0.027724205d, -0.011596181d, 0.0047650975d, -0.015381602d, 0.0043718936d, 0.002159289d, 0.035908177d, -0.008243952d, -0.030443309d, 0.027564257d, 0.042625964d, -0.0033688906d, 0.01843393d, 0.019087048d, 0.024578573d, 0.03268257d, -0.015608194d, -0.014128681d, -0.0033538956d, -0.0028757197d, -0.004121976d, -0.032389335d, 0.0034322033d, 0.058807302d, 0.010943064d, -0.030523283d, 0.008903735d, 0.017500903d, 0.00871713d, -0.0029406983d, 0.013995391d, -0.03132302d, -0.019660193d, -0.00770413d, -0.0038853872d, 0.0015894766d, -0.0015294964d, -0.006251275d, -0.021099718d, -0.010256623d, -0.008863748d, 0.028550599d, 0.02020668d, -0.0012962399d, -0.003415542d, -0.0022509254d, 0.0119360695d, 0.027590916d, -0.046971202d, -0.0015194997d, -0.022405956d, 0.0016677842d, -0.00018535563d, -0.015421589d, -0.031802863d, 0.03814744d, 0.0065411795d, 0.016567878d, -0.015621523d, 0.022899127d, -0.011076353d, 0.02841731d, -0.002679118d, -0.002342562d, 0.015341615d, 0.01804739d, -0.020566562d, -0.012989056d, -0.002990682d, 0.01643459d, 0.00042527664d, 0.008243952d, -0.013715484d, -0.004835075d, -0.009803439d, 0.03129636d, -0.021432944d, 0.0012087687d, -0.015741484d, -0.0052016205d, 0.00080890034d, -0.01755422d, 0.004811749d, -0.017967418d, -0.026684547d, -0.014128681d, 0.0041386373d, -0.013742141d, -0.010056688d, -0.013268964d, -0.0110630235d, -0.028337335d, 0.015981404d, -0.00997005d, -0.02424535d, -0.013968734d, -0.028310679d, -0.027750863d, -0.020699851d, 0.02235264d, 0.001057985d, 0.00081639783d, -0.0099367285d, 0.013522214d, -0.012016043d, -0.00086471526d, 0.013568865d, 0.0019376953d, -0.019020405d, 0.017460918d, -0.023045745d, 0.008503866d, 0.0064678704d, -0.011509543d, 0.018727167d, -0.003372223d, -0.0028690554d, -0.0027024434d, -0.011902748d, -0.012182655d, -0.015714826d, -0.0098634185d, 0.00593138d, 0.018753825d, 0.0010146659d, 0.013029044d, 0.0003521757d, -0.017620865d, 0.04102649d, 0.00552818d, 0.024485271d, -0.009630162d, -0.015608194d, 0.0006718621d, -0.0008418062d, 0.012395918d, 0.0057980907d, 0.016221326d, 0.010616505d, 0.004838407d, -0.012402583d, 0.019900113d, -0.0034521967d, 0.000247002d, -0.03153628d, 0.0011038032d, -0.020819811d, 0.016234655d, -0.00330058d, -0.0032289368d, 0.00078973995d, -0.021952773d, -0.022459272d, 0.03118973d, 0.03673457d, -0.021472929d, 0.0072109587d, -0.015075036d, 0.004855068d, -0.0008151483d, 0.0069643734d, 0.010023367d, -0.010276617d, -0.023019087d, 0.0068244194d, -0.0012520878d, -0.0015086699d, 0.022046074d, -0.034148756d, -0.0022192693d, 0.002427534d, -0.0027124402d, 0.0060346797d, 0.015461575d, 0.0137554705d, 0.009230294d, -0.009583511d, 0.032629255d, 0.015994733d, -0.019167023d, -0.009203636d, 0.03393549d, -0.017274313d, -0.012042701d, -0.0009930064d, 0.026777849d, -0.013582194d, -0.0027590916d, -0.017594207d, -0.026804507d, -0.0014236979d, -0.022032745d, 0.0091236625d, -0.0042419364d, -0.00858384d, -0.0033905501d, -0.020739838d, 0.016821127d, 0.022539245d, 0.015381602d, 0.015141681d, 0.028817179d, -0.019726837d, -0.0051283115d, -0.011489551d, -0.013208984d, -0.0047017853d, -0.0072309524d, 0.01767418d, 0.0025658219d, -0.010323267d, 0.012609182d, -0.028097415d, 0.026871152d, -0.010276617d, 0.021912785d, 0.0022542577d, 0.005124979d, -0.0019710176d, 0.004518512d, -0.040360045d, 0.010969722d, -0.0031539614d, -0.020366628d, -0.025778178d, -0.0110030435d, -0.016221326d, 0.0036587953d, 0.016207997d, 0.003007343d, -0.0032555948d, 0.0044052163d, -0.022046074d, -0.0008822095d, -0.009363583d, 0.028230704d, -0.024538586d, 0.0029840174d, 0.0016044717d, -0.014181997d, 0.031349678d, -0.014381931d, -0.027750863d, 0.02613806d, 0.0004136138d, -0.005748107d, -0.01868718d, -0.0010138329d, 0.0054348772d, 0.010703143d, -0.003682121d, 0.0030856507d, -0.004275259d, -0.010403241d, 0.021113047d, -0.022685863d, -0.023032416d, 0.031429652d, 0.001792743d, -0.005644808d, -0.011842767d, -0.04078657d, -0.0026874484d, 0.06915057d, -0.00056939584d, -0.013995391d, 0.010703143d, -0.013728813d, -0.022939114d, -0.015261642d, -0.022485929d, 0.016807798d, 0.007964044d, 0.0144219175d, 0.016821127d, 0.0076241563d, 0.005461535d, -0.013248971d, 0.015301628d, 0.0085171955d, -0.004318578d, 0.011136333d, -0.0059047225d, -0.010249958d, -0.018207338d, 0.024645219d, 0.021752838d, 0.0007614159d, -0.013648839d, 0.01111634d, -0.010503208d, -0.0038487327d, -0.008203966d, -0.00397869d, 0.0029740208d, 0.008530525d, 0.005261601d, 0.01642126d, -0.0038753906d, -0.013222313d, 0.026537929d, 0.024671877d, -0.043505676d, 0.014195326d, 0.024778508d, 0.0056914594d, -0.025951454d, 0.017620865d, -0.0021359634d, 0.008643821d, 0.021299653d, 0.0041686273d, -0.009017031d, 0.04044002d, 0.024378639d, -0.027777521d, -0.014208655d, 0.0028623908d, 0.042119466d, 0.005801423d, -0.028124074d, -0.03129636d, 0.022139376d, -0.022179363d, -0.04067994d, 0.013688826d, 0.013328944d, 0.0046184794d, -0.02828402d, -0.0063412455d, -0.0046184794d, -0.011756129d, -0.010383247d, -0.0018543894d, -0.0018593877d, -0.00052024535d, 0.004815081d, 0.014781799d, 0.018007403d, 0.01306903d, -0.020433271d, 0.009043689d, 0.033189073d, -0.006844413d, -0.019766824d, -0.018767154d, 0.00533491d, -0.0024575242d, 0.018727167d, 0.0058080875d, -0.013835444d, 0.0040719924d, 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26 	    String indexName = "vector_index";
27 	    FieldSearchPath fieldSearchPath = fieldPath("plot_embedding");
28 	    int numCandidates = 150;
29       int limit = 10;
30       
31       // define pipeline 
32       List<Bson> pipeline = asList(
33           vectorSearch(
34            fieldSearchPath,
35            queryVector,
36            indexName,
37            numCandidates,
38            limit),
39           project(
40            fields(exclude("_id"), include("title"), include("plot"), 
41            metaVectorSearchScore("score"))));
42       
43 	    // run query and print results
44       collection.aggregate(pipeline)
45         .forEach(doc -> System.out.println(doc.toJson()));	
46     }
47   }
48 }

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", "vectorSearchScore": 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.", "vectorSearchScore": 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", "vectorSearchScore": 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}

Exclua o campo _id e inclua apenas os campos plot, title e year nos resultados.
Adicione um campo denominado score que mostra a pontuação do Atlas Vector Search dos documentos nos resultados.

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}

Dica

Veja também: Exemplos adicionais de filtros

Excluir o campo _id e inclua somente os campos plot e title nos resultados.
Adicione um campo denominado score que mostra a pontuação do Vector Search para cada documento nos resultados.

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}'

Exclua o campo _id e inclua apenas os campos plot, title e year nos resultados.
Adicione um campo denominado score que mostra a pontuação do Atlas Vector Search dos documentos nos resultados.

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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0.018842166, -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], 
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 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}`

Dica

Veja também: Exemplos adicionais de filtros

Excluir o campo _id e inclua somente os campos plot e title nos resultados.
Adicione um campo denominado score que mostra a pontuação do Vector Search para cada documento nos resultados.

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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0.01306903, 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], 
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}

Exclua o campo _id e inclua apenas os campos plot, title e year nos resultados.
Adicione um campo denominado score que mostra a pontuação do Atlas Vector Search dos documentos nos resultados.

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}

Dica

Veja também: Exemplos adicionais de filtros

Exemplo deENN

A consulta a seguir usa o estágio $vectorSearch para pesquisar o campo plot_embedding usando incorporações vetoriais para a string World String . Ele solicita correspondências exatas e limita os resultados somente para 10 documentos. A consulta também especifica um estágio $project para fazer o seguinte:

Exclua o campo _id e inclua apenas os campos plot, title e year nos resultados.
Adicione um campo denominado score que mostra a pontuação do Atlas Vector Search dos documentos nos resultados.

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.

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 }

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Crie e gerencie índices

Revisar as opções de implantação

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	]

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2	{ "_id" : ObjectId("573a13d8f29313caabda6557"), "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	{ "_id" : ObjectId("573a13a5f29313caabd13b4b"), "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 }
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6	{ "_id" : ObjectId("573a1399f29313caabcee36f"), "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	{ "_id" : ObjectId("573a13c6f29313caabd715d3"), "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	{ "_id" : ObjectId("573a13d4f29313caabd98c13"), "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	{ "_id" : ObjectId("573a13b6f29313caabd477fa"), "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	{ "_id" : ObjectId("573a13e5f29313caabdc40c9"), "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	{"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", "vectorSearchScore": 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.", "vectorSearchScore": 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", "vectorSearchScore": 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 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	{'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	{
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	}