knnBeta
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O tipo de campo knnVector do Atlas Search e o operador knnBeta estão obsoletos. Assim, recomendamos que você utilize o tipo de índice vectorSearch e o estágio do pipeline $vectorSearch. Para saber mais, consulte Executar pesquisa vetorial.
Definição
knnBetaO operador
knnBetautiliza Hierarchical Navigable Small Worlds para realizar a pesquisa semântica. Você pode utilizar o suporte do Atlas Search para a query kNN para pesquisar produtos semelhantes a um produto selecionado, pesquisar imagens etc.
Sintaxe
knnBeta tem a seguinte sintaxe:
1 { 2 $search: { 3 "index": "<index name>", // optional, defaults to "default" 4 "knnBeta": { 5 "vector": [<array-of-numbers>], 6 "path": "<field-to-search>", 7 "filter": {<filter-specification>}, 8 "k": <number>, 9 "score": {<options>} 10 } 11 } 12 }
Opções
Campo | Tipo | Descrição | necessidade |
|---|---|---|---|
filter | documento | Qualqueroperador do Atlas Search para filtrar os documentos com base em metadados ou determinados critérios de pesquisa, que podem ajudar a reduzir o escopo da pesquisa vetorial. | Opcional |
k | número | Número de vizinhos mais próximos a serem retornados. Você pode especificar um número maior que o número de documentos a retornar ( $limit) para aumentar a acurácia. | Obrigatório |
path | string | Campo de tipo knnVector indexado a ser pesquisado. Consulte Construção de caminho para obter mais informações. | Obrigatório |
score | documento | Pontuação atribuída aos documentos correspondentes nos resultados. Para saber mais, consulte Comportamento de pontuação. | Opcional |
vector | array de números | Matriz de números dos tipos BSON int ou double que representam o vetor de query. O tamanho da matriz deve corresponder ao número do vetor dimensions especificado no índice para o campo. | Obrigatório |
Comportamento
Você pode executar consultas kNN em campos que foram indexados como Atlas Search tipo knnVector somente.
Você pode usar $limit após o estágio $search para limitar o número de documentos nos resultados da query knnBeta . Recomendamos definir o valor para k maior que o valor para $limit. Esse padrão de solicitação excessiva é a principal maneira de compensar a latência e o recall nas pesquisas aproximadas do vizinho mais próximo. Empiricamente, vimos um multiplicador de 5-10 funcionar bem em muitos casos de uso, mas recomendamos ajustá-lo em seu conjunto de dados específico.
Exemplo
A query seguinte encontra 150 vizinhos mais próximos da query e limita o número restante de resultados para 50.
1 db.<collection>.aggregate({ 2 "$search": { 3 "knnBeta": { 4 "vector": <array-of-numbers-to-search>, 5 "path": <indexed-field-to-search>, 6 "k": 150 7 } 8 } 9 }, 10 { 11 "$limit": 50 12 })
Desempenho
Para melhorar o desempenho da consulta, utilize o estágio $project para selecionar os campos para retornar nos resultados, a menos que você precise de todos os campos nos resultados. Recomendamos excluir o campo de vetor no estágio $project .
Pontuação
Você pode utilizar o campo score com a expressão $meta searchScore no estágio $project para retornar a pontuação para os documentos nos resultados.
O Atlas Search classifica os resultados para queries kNN em um intervalo fixo de 0 a 1 apenas. Para cosine e dotProduct similaridades, o Atlas Search normaliza a pontuação utilizando o seguinte algoritmo:
score = (1 + cosine/dot_product(v1,v2)) / 2
Limitações
knnBeta o operador deve ser o operador de nível superior em suas queries e, portanto, você não pode usar o operador knnBeta dentro do seguinte:
Operador embeddedDocument
operador composto
coletor de facetas
Você não pode utilizar o operador knnBeta para campos de query indexados utilizando um índice do tipo vectorSearch. Você não pode usar a opção de classificação com $search o knnBeta operador .
Não recomendamos a paginação dos resultados do Atlas Search usando $skip e $limit após o estágio $search .
Exemplos
As queries a seguir procuram a collection sample_mflix.embedded_movies de amostra usando o operator knnBeta. As queries pesquisam no campo plot_embedding , que contém embeddings criados utilizando o modelo de embeddings text-embedding-ada-002 do OpenAI. Se você adicionou a sample collection ao cluster do Atlas e criou a sample index definition para a coleção, poderá alternar para o banco de dados sample_mflix e executar as seguintes queries na coleção.
A consulta seguinte pesquisa o campo plot_embedding utilizando o operador knnBeta para vector dimensões e pedidos até 5 vizinhos mais próximos nos resultados. A consulta também especifica um estágio $project para:
Exclua o campo
_ide inclua os camposplotetitlenos resultados.Adicione um campo denominado
scorenos resultados.
1 db.embedded_movies.aggregate([ 2 { 3 "$search": { 4 "index": "default", 5 "knnBeta": { 6 "vector": 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7 "path": "plot_embedding", 8 "k": 5 9 } 10 } 11 }, 12 { 13 "$project": { 14 "_id": 0, 15 "plot": 1, 16 "title": 1, 17 "score": { $meta: "searchScore" } 18 } 19 } 20 ])
1 [ 2 { 3 plot: 'When two girls move to the country to be near their ailing mother, they have adventures with the wonderous forest spirits who live nearby.', 4 title: 'My Neighbor Totoro', 5 score: 0.9999986886978149 6 }, 7 { 8 plot: "To escape a war, a girl flees to a remote farmhouse and becomes part of an expansive family's unusual, perhaps even supernatural lifestyle.", 9 title: 'Black Moon', 10 score: 0.8282386660575867 11 }, 12 { 13 plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.', 14 title: 'Forest Warrior', 15 score: 0.8196926712989807 16 }, 17 { 18 plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.', 19 title: 'Forest Warrior', 20 score: 0.8196901082992554 21 }, 22 { 23 plot: 'An adventurous girl finds another world that is a strangely idealized version of her frustrating home, but it has sinister secrets.', 24 title: 'Coraline', 25 score: 0.815956711769104 26 } 27 ]
A consulta a seguir filtra os documentos para filmes lançados antes ou em (≤) 30 junho, 1971 (1971-06-30), em seguida, pesquisa o campo plot_embedding nos documentos filtrados para vector dimensões e solicitações até 5 vizinhos mais próximos nos resultados. A query também especifica um estágio $project para:
Exclua o campo
_ide inclua apenas os camposplot,titleereleasednos resultados.Adicione um campo denominado
scorenos resultados.
1 db.embedded_movies.aggregate([ 2 { 3 "$search": { 4 "index": "default", 5 "knnBeta": { 6 "vector": 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7 "path": "plot_embedding", 8 "filter": { 9 "range": { 10 "lte": ISODate("1971-06-30 00:27:59.177000000"), 11 "path": "released" 12 } 13 }, 14 "k": 5 15 } 16 } 17 }, 18 { 19 "$project": { 20 "_id": 0, 21 "title": 1, 22 "plot": 1, 23 "released": 1, 24 "score": { $meta: "searchScore" } 25 } 26 } 27 ])
1 [ 2 { 3 plot: 'A poor boy wins the opportunity to tour the most eccentric and wonderful candy factory of all.', 4 title: 'Willy Wonka & the Chocolate Factory', 5 released: ISODate("1971-06-30T00:00:00.000Z"), 6 score: 0.9999985694885254 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 released: ISODate("1968-12-18T00:00:00.000Z"), 12 score: 0.7576897740364075 13 }, 14 { 15 plot: 'A red balloon with a life of its own follows a little boy around the streets of Paris.', 16 title: 'The Red Balloon', 17 released: ISODate("1957-03-11T00:00:00.000Z"), 18 score: 0.7515948414802551 19 }, 20 { 21 plot: 'While hearing the story of "Gulliver's Travels", a young boy dreams he is the title character on the island of Lilliput .', 22 title: 'The New Gulliver', 23 released: ISODate("1935-11-03T00:00:00.000Z"), 24 score: 0.7495509386062622 25 }, 26 { 27 plot: 'A living puppet, with the help of a cricket as his conscience, must prove himself worthy to become a real boy.', 28 title: 'Pinocchio', 29 released: ISODate("1940-02-23T00:00:00.000Z"), 30 score: 0.7472590804100037 31 } 32 ]
O Atlas Search filtra os documentos com base no valor do campo released que é menor ou igual a 1971-06-30. Ele pontua o documento com o título Willy Wonka & the Chocolate Factory mais alto porque corresponde aos critérios de pesquisa na opção filter e também às dimensões vector na query.