Importante
A reclassificação nativa está disponível como um recurso de visualização. O recurso e a documentação correspondente podem mudar a qualquer momento durante o período de pré-visualização. Portanto, não recomendamos o uso desse recurso em ambientes de produção. Não usamos nenhum dado do cliente desse recurso para treinar nossos modelos neste momento. Para aprender mais, consulte Recursos de visualização.
O estágio de agregação $rerank reordena os documentos de entrada usando modelos de reclassificação de IA do Voyage AI e retorna os mesmos documentos classificados por relevância para a query. O estágio $rerank pode aparecer em qualquer lugar em um pipeline de agregação.
Você não precisa criar um índice para executar $rerank query. No entanto, o MongoDB recomenda usar $rerank após $vectorSearch $searchum,, $rankFusion ou estágio,$scoreFusion que exigem a criação de um índice de pesquisa vetorial ou MongoDB Search em sua coleção.
Este início rápido demonstra como habilitar e usar o Native Reranking no Atlas usando o estágio de agregação $rerank em querys no conjunto de dados sample_mflix.
Pré-requisitos
Antes de começar, conclua as seguintes tarefas:
Implante um cluster Atlas com o MongoDB 8.3 ou posterior selecionando Latest Version with Auto-Upgrades na página Cluster Builder da IU do Atlas.
Para saber mais sobre um cluster do Atlas, consulte Criar um cluster. A reclassificação nativa não está disponível para implantações autogerenciadas.
Carregue o conjunto de dados sample_mflix em seu cluster.
Para aprender mais, consulte Carregar dados de amostra.
Baixe e instale
mongosh.Para saber mais, consulte Instalar o MongoDB Shell.
Para saber mais sobre a compatibilidade e os requisitos para usar $rerank, consulte Considerações.
Procedimento
Para começar a usar a reclassificação nativa, siga estas etapas:
Habilitar reclassificação nativa.
No Atlas, vá para a página Project Settings.
Se ainda não tiver sido exibido, selecione a organização que contém seu projeto no menu Organizations na barra de navegação.
Se ainda não estiver exibido, selecione o projeto desejado no menu Projects na barra de navegação.
Na barra lateral, clique no ícone ao lado de Project Overview.
A página Configurações do projeto é exibida.
Role para baixo até a seção Native Reranking e alterne Enable Native Reranking para On.
Clique em Confirm.
Execute uma query de reclassificação nativa.
A query a seguir usa o estágio $rerank para encontrar os dez principais filmes mais relevantes para a query de artes marciais.
Mudar para o banco de dados
sample_mflix:use sample_mflix Execute uma query de reclassificação nativa.
A query a seguir utiliza o estágio
$rerankpara retornar filmes que são mais relevantes para a query para artes marciais utilizando o modelorerank-2.5. A query prioriza filmes sobre treinamento e torneios de artes marciais. Ele utiliza os seguintes estágios do pipeline:estágio do pipelineDescriçãoFiltra os documentos para incluir apenas documentos que tenham um campo
fullplotdo tipo string.Classifica os documentos em ordem decrescente do campo
releasedpara garantir a ordem determinística.Reordena os documentos para corresponder à query usando o modelo de reranker
rerank-2.5. O parâmetronumDocsToRerankespecifica o número máximo de documentos a serem considerados para reranking. O parâmetropathespecifica o campo a ser usado para reranking.Adiciona um campo chamado
rerankScoreaos documentos.Limita a saída a 10 documentos.
Exclui todos os campos exceto
title,fullplotererankScoredos documentos nos resultados.1 db.embedded_movies.aggregate([ 2 { 3 "$match": { 4 "fullplot": { "$exists": true, "$type": "string" } 5 } 6 }, 7 { 8 "$sort": { "released": -1 } 9 }, 10 { 11 "$rerank": { 12 "model": "rerank-2.5", 13 "query": { 14 "text": "martial arts; prioritize films about martial arts training and tournaments" 15 }, 16 "path": "fullplot", 17 "numDocsToRerank": 100 18 } 19 }, 20 { 21 "$addFields": { 22 "rerankScore": { "$meta": "score" } 23 } 24 }, 25 { "$limit": 10 }, 26 { 27 "$project": { 28 "_id": 0, 29 "title": 1, 30 "fullplot": 1, 31 "rerankScore": 1 32 } 33 } 34 ]) [ { title: 'Ti mene nosis', fullplot: 'No treason, no surrender.', rerankScore: 0.5986876487731934 }, { title: 'The Real Miyagi', fullplot: 'The life of the greatest karate master of a generation.', rerankScore: 0.5986876487731934 }, { title: 'Peter Pan Live!', fullplot: 'A live telecast of the beloved J. M. Barrie story.', rerankScore: 0.5986876487731934 }, { title: "Why Don't You Play in Hell?", fullplot: 'A renegade film crew becomes embroiled with a yakuza clan feud.', rerankScore: 0.5986876487731934 }, { fullplot: "A French police magistrate spends years trying to take down one of the country's most powerful drug rings.", title: 'The Connection', rerankScore: 0.5986876487731934 }, { title: 'Anomalisa', fullplot: "Charlie Kaufman's first stop-motion film about a man crippled by the mundanity of his life.", rerankScore: 0.5986876487731934 }, { title: 'The Master Plan', fullplot: 'Charles Ingvar Jènsson gathers three criminals to take vengeance upon the people who killed his uncle.', rerankScore: 0.5986876487731934 }, { title: 'Redeemer', fullplot: 'A former hit-man for a drug cartel becomes a vigilante to pay for his sins and find redemption.', rerankScore: 0.5986876487731934 }, { title: 'Rise of the Legend', fullplot: 'An orphan, whose father has been killed by dark power, attempts to bring justice back to the town.', rerankScore: 0.5986876487731934 }, { title: 'Darkness on the Edge of Town', fullplot: 'A troubled teenage sharpshooter decides to avenge the death of her estranged sister after she is found murdered in a public bathroom.', rerankScore: 0.5986876487731934 } ]
Crie os índices para executar querys de reclassificação nativa com $vectorSearch e $search.
O MongoDB recomenda usar $rerank após um $vectorSearch, $search, $rankFusion ou $scoreFusion estágio. Para fazer isso, crie um índice de pesquisa vetorial do MongoDB e um índice de pesquisa do MongoDB em sua coleção para executar os estágios $vectorSearch e $search.
Para experimentar as query de amostra que usam os estágios $vectorSearch e $search neste início rápido, você deve criar um índice de pesquisa vetorial do MongoDB e um índice de pesquisa do MongoDB em sua coleção.
Para criar o índice, conclua as seguintes etapas:
Clique em Search & Vector Search na barra lateral.
Clique em Create Index.
Inicie a configuração do seu índice:
Selecione Vector Search como o tipo de índice.
Insira
vector_indexcomo o nome do índice.Selecione a collection
sample_mflix.embedded_movies.Selecione JSON Editor como o tipo de editor.
Clique em Next e cole a seguinte definição de índice no editor JSON:
Índice no campo ``plot_embedding_voyage_4_large``.{ "fields": [ { "type": "vector", "path": "plot_embedding_voyage_4_large", "numDimensions": 2048, "similarity": "dotProduct" } ] } Clique em Next e, em seguida, clique em Create Index.
Para criar o índice, conclua as seguintes etapas:
Clique em Search & Vector Search na barra lateral.
Clique em Create Index.
Inicie a configuração do seu índice:
Selecione Search como o tipo de índice.
Insira
search_indexcomo o nome do índice.Selecione a collection
sample_mflix.embedded_movies.Selecione JSON Editor como o tipo de editor.
Clique em Next e cole a seguinte definição de índice no editor JSON:
Índice dinâmico nos campos indexáveis dinamicamente.{ "mappings": { "dynamic": true } } Clique em Next e, em seguida, clique em Create Index.
Prepare-se para executar queries $vectorSearch e $search com Native Reranking.
Conecte-se ao seu cluster usando
mongosh.Crie um arquivo denominado
embeddings.jspara armazenar os embeddings a serem usados nas query.Copie e cole as seguintes incorporações no arquivo.
Embeddings para o termo de query "artes marciais".MARTIAL_ARTS_EMBEDDINGS=[0.02218237891793251, -0.007462590467184782, -0.01691064052283764, 0.0072914301417768, -0.011365045793354511, -0.045186325907707214, -6.846413452876732e-05, -0.0034916705917567015, 0.009995763190090656, 0.025742514058947563, -0.002481824718415737, -0.0029268416110426188, 0.0023106643930077553, -0.04135233536362648, -0.019717669114470482, -0.024510158225893974, -0.008729176595807076, -0.001048356993123889, 0.01033808384090662, 0.008900336921215057, -0.00797607097774744, 0.03258892521262169, 0.00766798248514533, 0.010406548157334328, 0.04107847809791565, -0.020128455013036728, -0.03833991289138794, 0.018348386511206627, -0.01533596497029066, 0.042995475232601166, 0.020813096314668655, -0.0016260230913758278, -0.004364588297903538, -0.011159653775393963, -0.03436899557709694, 0.010817333124577999, -0.0008900337270461023, -0.012118151411414146, -0.0156782865524292, 0.04381704330444336, -0.013350505381822586, 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sample_mflix:use sample_mflix Carregue os embeddings em
mongosh.load('embeddings.js');
Execute o $vectorSearch e o $search com reclassificação nativa.
As query a seguir usam o estágio $rerank após um $vectorSearch e um estágio $search para encontrar os dez principais filmes mais relevantes para a query de artes marciais.
A query a seguir usa o estágio $vectorSearch para corresponder a filmes mais relevantes para a query de artes marciais. A query então usa o estágio $rerank para reordenar os documentos para focar em estilos de combate e coreografia de luta. Ele usa os seguintes estágios do pipeline:
estágio do pipeline | Descrição |
|---|---|
Executa uma pesquisa vetorial para o texto de query artes marciais usando o modelo de embedding | |
Exclui todos os campos exceto | |
Filtra os documentos para incluir apenas documentos que tenham um campo | |
Reordena os documentos para corresponder à query usando o modelo de reranker | |
Adiciona um campo chamado | |
Limita a saída a 10 documentos. | |
Exclui todos os campos exceto |
1 db.embedded_movies.aggregate([ 2 { 3 "$vectorSearch": { 4 "index": "vector_index", 5 "path": "plot_embedding_voyage_4_large", 6 "queryVector": MARTIAL_ARTS_EMBEDDINGS, 7 "numCandidates": 100, 8 "limit": 100 9 } 10 }, 11 { 12 "$project": { 13 "_id": 0, 14 "title": 1, 15 "fullplot": 1, 16 "vectorScore": { "$meta": "vectorSearchScore" } 17 } 18 }, 19 { 20 "$match": { 21 "fullplot": { "$exists": true, "$type": "string" } 22 } 23 }, 24 { 25 "$rerank": { 26 "model": "rerank-2.5", 27 "query": { 28 "text": "martial arts; focus on combat styles and fight choreography" 29 }, 30 "path": "fullplot", 31 "numDocsToRerank": 100 32 } 33 }, 34 { 35 "$addFields": { 36 "rerankScore": { "$meta": "score" } 37 } 38 }, 39 { "$limit": 10 }, 40 { 41 "$project": { 42 "_id": 0, 43 "title": 1, 44 "fullplot": 1, 45 "vectorScore": 1, 46 "rerankScore": 1 47 } 48 } 49 ])
[ { title: 'The Real Miyagi', fullplot: 'The life of the greatest karate master of a generation.', vectorScore: 0.7579228281974792, rerankScore: 0.5986876487731934 }, { title: 'Kung Fu Killer', fullplot: 'A Caucasian monk in Shanghai infiltrates the underworld to find the killers of his spiritual female Grandmaster.', vectorScore: 0.7047170996665955, rerankScore: 0.5986876487731934 }, { title: 'Dragon Tiger Gate', fullplot: 'Three young martial arts masters emerge from the back streets of Hong Kong to help the powerless fight injustice.', vectorScore: 0.7224205732345581, rerankScore: 0.5986876487731934 }, { title: 'Pistol Opera', fullplot: 'The No. 3 assassin of Japan is given the chance to usurp No. 1 and take their place.', vectorScore: 0.6872181296348572, rerankScore: 0.5986876487731934 }, { title: 'Once Upon a Time in Shanghai', fullplot: 'A laborer moves to Shanghai in the hope of becoming rich. But ends up using his kung fu skills to survive.', vectorScore: 0.6834211349487305, rerankScore: 0.5986876487731934 }, { title: 'Yasmine', fullplot: "A young woman who lives with her strict father works to become a a champion at Silat, Brunei's version of kung fu.", vectorScore: 0.7219811677932739, rerankScore: 0.5986876487731934 }, { title: 'Best of the Best', fullplot: 'Team USA gets rid of personal ghosts while fighting Team Korea in Taekwondo championship. "Adversity overcome" formula with excellent fighting scenes.', vectorScore: 0.6988193988800049, rerankScore: 0.5986876487731934 }, { title: 'Dragon Strike', fullplot: 'The adventures of a restless martial arts student called Dragon, who, while constantly pursuing a girl, gets involved in the affairs of a gang of thieves.', vectorScore: 0.7163552641868591, rerankScore: 0.5986876487731934 }, { title: 'Legendary Weapons of China', fullplot: "A band of killers from an ailing kung fu and magic society are sent on a manhunt for a former member of the society, whose bad mouthing threatens it's existence.", vectorScore: 0.7019355893135071, rerankScore: 0.5986876487731934 }, { title: 'The Touch', fullplot: 'A sister and brother, the last heirs of a family of acrobats, are called upon by a Buddhist monk sect to retrieve an artifact that their ancestors have protected throughout the ages.', vectorScore: 0.6897575855255127, rerankScore: 0.5986876487731934 } ]
A query a seguir usa o estágio $search para executar uma pesquisa de texto completo para o texto da query artes marciais. A query então usa o estágio $rerank para reordenar os documentos para priorizar enredos de filmes sobre competição e treinamento de artes marciais. Ele usa os seguintes estágios do pipeline:
estágio do pipeline | Descrição |
|---|---|
Executa uma pesquisa de texto completo para o texto da query martial arts. | |
Limita a saída do estágio | |
Exclui todos os campos exceto | |
Filtra os documentos para incluir apenas documentos que tenham um campo | |
Reordena os documentos para corresponder à query usando o modelo de reranker | |
Adiciona um campo chamado | |
Limita a saída a 10 documentos. | |
Exclui todos os campos exceto |
1 db.embedded_movies.aggregate([ 2 { 3 "$search": { 4 "index": "search_index", 5 "text": { 6 "query": "martial arts", 7 "path": "fullplot" 8 } 9 } 10 }, 11 { 12 "$limit": 100 13 }, 14 { 15 "$project": { 16 "_id": 0, 17 "title": 1, 18 "fullplot": 1, 19 "searchScore": { "$meta": "searchScore" } 20 } 21 }, 22 { 23 "$match": { 24 "fullplot": { "$exists": true, "$type": "string" } 25 } 26 }, 27 { 28 "$rerank": { 29 "model": "rerank-2.5", 30 "query": { 31 "text": "martial arts; prioritize movie plots about martial arts competition and training" 32 }, 33 "path": "fullplot", 34 "numDocsToRerank": 100 35 } 36 }, 37 { 38 "$addFields": { 39 "rerankScore": { "$meta": "score" } 40 } 41 }, 42 { "$limit": 10 }, 43 { 44 "$project": { 45 "_id": 0, 46 "title": 1, 47 "fullplot": 1, 48 "searchScore": 1, 49 "rerankScore": 1 50 } 51 } 52 ])
[ { title: 'Dragon Tiger Gate', fullplot: 'Three young martial arts masters emerge from the back streets of Hong Kong to help the powerless fight injustice.', searchScore: 5.30598258972168, rerankScore: 0.5986876487731934 }, { title: 'Dragon Strike', fullplot: 'The adventures of a restless martial arts student called Dragon, who, while constantly pursuing a girl, gets involved in the affairs of a gang of thieves.', searchScore: 5.074832439422607, rerankScore: 0.5986876487731934 }, { title: 'Here Comes the Boom', fullplot: 'A high school biology teacher looks to become a successful mixed-martial arts fighter in an effort to raise money to prevent extra-curricular activities from being axed at his cash-strapped school.', searchScore: 4.862981796264648, rerankScore: 0.5986876487731934 }, { title: 'Here Comes the Boom', fullplot: 'A high school biology teacher looks to become a successful mixed-martial arts fighter in an effort to raise money to prevent extra-curricular activities from being axed at his cash-strapped school.', searchScore: 4.862981796264648, rerankScore: 0.5986876487731934 }, { title: 'Vampire Effect', fullplot: "It's a high-kicking battle on the dark side when an ace vampire slayer and his beautiful sidekicks wage the ultimate martial-arts showdown with one of the most dangerous of the undead.", searchScore: 4.862981796264648, rerankScore: 0.5986876487731934 }, { fullplot: 'FBI agent Malcolm Turner and his son, Trent, go undercover at an all-girls performing arts school after Trent witnesses a murder. Posing as Big Momma and Charmaine, they must find the murderer before he finds them.', title: 'Big Mommas: Like Father, Like Son', searchScore: 2.3932719230651855, rerankScore: 0.5986876487731934 }, { title: 'The Last Dragon', fullplot: 'In New York City, a young man searches for the "master" to obtain the final level of martial arts mastery known as the glow. Along the way, he must fight an evil martial arts expert and rescue a beautiful singer from an obsessed music promoter.', searchScore: 5.777412414550781, rerankScore: 0.5986876487731934 }, { title: 'SPL: Kill Zone', fullplot: 'Chan, an articulate senior detective nearing the end of his career, is taking care of the daughter of a witness killed by ruthless crime lord Po. Martial arts expert Ma is set to take over as head of the crime unit, replacing Chan who wants an early retirement.', searchScore: 4.463685035705566, rerankScore: 0.5986876487731934 }, { title: 'Fighter in the Wind', fullplot: 'A young Korean man arrives in Japan near the end of World War II with hopes of being a fighter pilot, but ends up on the streets battling racism, organized crime, occupying American servicemen, and his own fear of failure as a martial artist. (Korean with English subtitles)', searchScore: 2.2145204544067383, rerankScore: 0.5986876487731934 }, { title: "Bruce Lee: A Warrior's Journey", fullplot: "Legendary martial artist Bruce Lee is the subject of this thoughtful documentary by Lee aficionado John Little. Using interviews, behind-the-scenes footage and action sequences from Lee's last (unfinished) film, Game of Death, Little paints a textured, complex portrait of the world's most famous action hero.", searchScore: 2.2390332221984863, rerankScore: 0.5986876487731934 } ]
Recursos adicionais
Para saber mais sobre a reclassificação nativa, consulte os seguintes recursos: