이 튜토리얼에서는 동일한 쿼리 조건에 대해 전체 텍스트 검색과 시맨틱 검색을 집계한 하이브리드 검색을 시연합니다. 전체 텍스트 검색은 쿼리 텀에 대한 정확한 일치를 찾는 데 효과적인 반면, 시맨틱 검색은 문서에 정확한 쿼리 텀이 포함되어 있지 않더라도 의미적으로 유사한 문서를 식별할 수 있는 추가 이점을 제공합니다. 이를 통해 동의어나 맥락적으로 유사한 결과도 두 검색 방법을 결합한 결과에 포함될 수 있습니다.
반대로 데이터 세트에 고유 명사나 특정 키워드에 대한 토큰이 포함되어 있다면 이러한 토큰이 데이터 세트에서 사용되는 동일한 맥락에서 임베딩 모델의 학습에 고려되지 않기를 원할 수 있습니다. 이 경우 벡터 검색을 전체 텍스트 검색과 결합하면 더 나은 결과를 얻을 수 있습니다.
또한 쿼리별로 각 검색 방법에 대한 가중치를 설정할 수 있습니다. 전체 텍스트 또는 시맨틱 검색 결과가 쿼리에 가장 관련성이 높고 적절한지 여부에 따라, 쿼리별로 해당 검색 방법의 가중치를 높일 수 있습니다.
튜토리얼 소개
이 튜토리얼에서는 영화에 대한 세부 정보가 포함된 sample_mflix.embedded_movies 컬렉션에서 Atlas Vector Search와 Atlas Search 쿼리를 결합한 하이브리드 검색을 실행하여 통합 검색 결과를 얻는 방법을 시연합니다. 이 튜토리얼에서는 구체적으로 다음 단계를 안내합니다.
plot_embedding_voyage_3_large필드에 Atlas Vector Search 인덱스를 생성합니다. 이 필드에는 영화 줄거리 요약을 나타내는 벡터 임베딩이 포함되어 있습니다.Atlas Search 인덱스를
sample_mflix.embedded_movies컬렉션의title필드에 생성합니다. 이 필드에는 영화 이름이 텍스트 문자열로 포함되어 있습니다.상호 순위 결합을 사용하여
plot_embedding_voyage_3_large필드에 대한$vectorSearch쿼리와title필드에 대한$search쿼리의 결과를 결합하는 쿼리를 실행합니다.
전제 조건
시작하기 전에 공통 전제 조건을 완료하세요. Atlas Vector Search 및 Atlas Search 검색 인덱스를 생성하려면 프로젝트에 대한 Project Data Access Admin 액세스 권한이 있어야 합니다.
Atlas Vector Search 및 Atlas Search 인덱스 만들기
이 섹션에서는 sample_mflix.embedded_movies collection의 필드에 다음 인덱스를 생성하는 방법을 보여 줍니다.
해당 필드에 대해 벡터 쿼리를 실행하기 위한
plot_embedding_voyage_3_large필드에 대한 Atlas Vector Search 인덱스입니다.해당 필드에 대해 전체 텍스트 검색을 실행하기 위한
title필드에 대한 Atlas Search 검색 인덱스입니다.
절차
mongosh를 사용하여 Atlas 클러스터에 연결합니다.
자세한 내용은 mongosh를 통한 연결을 참조하세요.
Atlas Vector Search 인덱스를 정의합니다.
다음 명령을 실행합니다. 이 인덱스 정의는 컬렉션을 쿼리할 때 plot_embedding_voyage_3_large 필드를 Atlas Vector Search 필드로 지정하여 인덱싱합니다.
1 db.embedded_movies.createSearchIndex( 2 "hybrid-vector-search", 3 "vectorSearch", 4 { 5 "fields": [ 6 { 7 "type": "vector", 8 "path": "plot_embedding_voyage_3_large", 9 "numDimensions": 2048, 10 "similarity": "dotProduct" 11 } 12 ] 13 } 14 );
결합된 시맨틱 검색 및 전체 텍스트 검색 쿼리 실행
이 섹션에서는 $rankFusion 단계 내에서 $vectorSearch와 $search 파이프라인 단계를 사용하여 sample_mflix.embedded_movies 컬렉션의 plot_embedding_voyage_3_large 및 title 필드에서 star wars를 쿼리하고, 결과의 문서를 다시 정렬하는 방법을 보여줍니다. $rankFusion 단계는 두 검색에 모두 나타나는 문서가 결합된 결과의 최상단에 표시되도록 보장합니다.
절차
쿼리 에 사용할 임베딩을 설정합니다.
query-embeddings.js이라는 파일을 만듭니다.다음 임베딩을 복사하여 파일 에 붙여넣습니다.
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파일을 저장하고 닫습니다.
mongosh를 사용하여 클러스터에 연결합니다.
터미널 창에서 mongosh 를 열고 클러스터에 연결합니다. 연결에 대한 자세한 지침은 mongosh 를 통한 연결을 참조하세요.
sample_mflix 데이터베이스를 사용합니다.
mongosh 프롬프트에서 다음 명령을 실행합니다.
use sample_mflix
switched to db sample_mflix
embedded_movies 컬렉션에 대해 다음 Atlas Search 쿼리를 실행합니다.
1 db.embedded_movies.aggregate([ 2 { 3 $rankFusion: { 4 input: { 5 pipelines: { 6 vectorPipeline: [ 7 { 8 "$vectorSearch": { 9 "index": "hybrid-vector-search", 10 "path": "plot_embedding_voyage_3_large", 11 "queryVector": STAR_WARS_EMBEDDING, 12 "numCandidates": 100, 13 "limit": 20 14 } 15 } 16 ], 17 fullTextPipeline: [ 18 { 19 "$search": { 20 "index": "hybrid-full-text-search", 21 "phrase": { 22 "query": "star wars", 23 "path": "title" 24 } 25 } 26 }, 27 { "$limit": 20 } 28 ] 29 } 30 }, 31 combination: { 32 weights: { 33 vectorPipeline: 0.5, 34 fullTextPipeline: 0.5 35 } 36 }, 37 "scoreDetails": true 38 } 39 }, 40 { 41 "$project": { 42 _id: 1, 43 title: 1, 44 plot: 1, 45 scoreDetails: {"$meta": "scoreDetails"} 46 } 47 }, 48 { 49 "$limit": 10 50 } 51 ]);
[ { _id: ObjectId('573a1397f29313caabce68f6'), plot: "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.", title: 'Star Wars: Episode IV - A New Hope', scoreDetails: { value: 0.01626123744050767, description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:', details: [ { inputPipelineName: 'fullTextPipeline', rank: 2, weight: 0.5, value: 2.9571781158447266, details: [] }, { inputPipelineName: 'vectorPipeline', rank: 1, weight: 0.5, value: 0.7987099885940552, details: [] } ] } }, { _id: ObjectId('573a139af29313caabcf0f5f'), plot: 'Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.', title: 'Star Wars: Episode I - The Phantom Menace', scoreDetails: { value: 0.015527202696196438, description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:', details: [ { inputPipelineName: 'fullTextPipeline', rank: 2, weight: 0.5, value: 2.9571781158447266, details: [] }, { inputPipelineName: 'vectorPipeline', rank: 7, weight: 0.5, value: 0.7771433591842651, details: [] } ] } }, { _id: ObjectId('573a1397f29313caabce77d9'), plot: 'After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.', title: 'Star Wars: Episode V - The Empire Strikes Back', scoreDetails: { value: 0.015504807692307693, description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:', details: [ { inputPipelineName: 'fullTextPipeline', rank: 4, weight: 0.5, value: 2.712062358856201, details: [] }, { inputPipelineName: 'vectorPipeline', rank: 5, weight: 0.5, value: 0.7810181975364685, details: [] } ] } }, { _id: ObjectId('573a1397f29313caabce8cdb'), plot: 'After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.', title: 'Star Wars: Episode VI - Return of the Jedi', scoreDetails: { value: 0.015388257575757576, description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:', details: [ { inputPipelineName: 'fullTextPipeline', rank: 4, weight: 0.5, value: 2.712062358856201, details: [] }, { inputPipelineName: 'vectorPipeline', rank: 6, weight: 0.5, value: 0.7782549858093262, details: [] } ] } }, { _id: ObjectId('573a13c0f29313caabd62f62'), plot: 'Anakin Skywalker and Ahsoka Tano must rescue the kidnapped son of Jabba the Hutt, but political intrigue complicates their mission.', title: 'Star Wars: The Clone Wars', scoreDetails: { value: 0.015141165755919854, description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:', details: [ { inputPipelineName: 'fullTextPipeline', rank: 1, weight: 0.5, value: 3.609658718109131, details: [] }, { inputPipelineName: 'vectorPipeline', rank: 12, weight: 0.5, value: 0.7561323642730713, details: [] } ] } }, { _id: ObjectId('573a139af29313caabcf124d'), plot: 'As the Clone Wars near an end, the Sith Lord Darth Sidious steps out of the shadows, at which time Anakin succumbs to his emotions, becoming Darth Vader and putting his relationships with Obi-Wan and Padme at risk.', title: 'Star Wars: Episode III - Revenge of the Sith', scoreDetails: { value: 0.014854753521126762, description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:', details: [ { inputPipelineName: 'fullTextPipeline', rank: 4, weight: 0.5, value: 2.712062358856201, details: [] }, { inputPipelineName: 'vectorPipeline', rank: 11, weight: 0.5, value: 0.756283700466156, details: [] } ] } }, { _id: ObjectId('573a139af29313caabcf1258'), plot: 'Ten years after initially meeting, Anakin Skywalker shares a forbidden romance with Padmè, while Obi-Wan investigates an assassination attempt on the Senator and discovers a secret clone army crafted for the Jedi.', title: 'Star Wars: Episode II - Attack of the Clones', scoreDetails: { value: 0.014391447368421052, description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:', details: [ { inputPipelineName: 'fullTextPipeline', rank: 4, weight: 0.5, value: 2.712062358856201, details: [] }, { inputPipelineName: 'vectorPipeline', rank: 16, weight: 0.5, value: 0.7400004267692566, details: [] } ] } }, { _id: ObjectId('573a1398f29313caabce9091'), plot: "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.", title: 'Dune', scoreDetails: { value: 0.008064516129032258, description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:', details: [ { inputPipelineName: 'fullTextPipeline', rank: 0, weight: 0.5 }, { inputPipelineName: 'vectorPipeline', rank: 2, weight: 0.5, value: 0.7947750091552734, details: [] } ] } }, { _id: ObjectId('573a1397f29313caabce6f53'), plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...', title: 'Message from Space', scoreDetails: { value: 0.007936507936507936, description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:', details: [ { inputPipelineName: 'fullTextPipeline', rank: 0, weight: 0.5 }, { inputPipelineName: 'vectorPipeline', rank: 3, weight: 0.5, value: 0.7913960218429565, details: [] } ] } }, { _id: ObjectId('573a139df29313caabcfa90b'), plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...', title: 'Message from Space', scoreDetails: { value: 0.007936507936507936, description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:', details: [ { inputPipelineName: 'fullTextPipeline', rank: 0, weight: 0.5 }, { inputPipelineName: 'vectorPipeline', rank: 3, weight: 0.5, value: 0.7913960218429565, details: [] } ] } } ]
쿼리 정보
샘플 쿼리는 시맨틱 검색과 전체 텍스트 검색에서 정렬된 검색 결과를 조회하고, 결과 배열에서의 문서 위치에 따라 결과에 있는 문서에 상호 순위 점수를 할당합니다. 상호 순위 점수는 다음 공식을 사용하여 계산합니다.
1.0/{document position in the results + constant value}
쿼리는 각 문서에 대해 두 검색의 점수를 합산하고 합산된 점수에 따라 문서를 순위 매긴 후 단일 결과를 반환하기 위해 문서를 정렬합니다. 상수의 값은 항상 60입니다.
쿼리 가중치
샘플 쿼리는 각 파이프라인의 최종 점수에 대한 순위 기여도를 조정하기 위해 다음과 같은 가중치를 정의합니다.
vectorPipeline= 0.5fullTextPipeline= 0.5
가중치를 조정하여 특정 검색 방법에 더 많은 중요성을 부여할 수 있습니다. 숫자가 낮을수록 더 높은 가중치를 제공합니다.
가중 상호 순위 점수는 다음 공식을 사용하여 계산합니다.
weight x reciprocal rank
scoreDetails.value는 가중치가 부여되고 상호 순위 융합을 통해 결합되기 전에 해당 파이프라인의 원시 점수를 보여줍니다. scoreDetails.details.value는 가중 상호 순위 점수를 보여줍니다.
쿼리 단계
샘플 쿼리는 $rankFusion 단계를 사용하여 시맨틱 쿼리와 전체 텍스트 쿼리를 독립적으로 실행한 후 중복을 제거하고 입력 쿼리 결과를 최종 순위 결과 집합으로 결합합니다. 입력 파이프라인에 나타나는 순위와 파이프라인 가중치를 기준으로 순위가 매겨진 문서 집합을 반환합니다. 구체적으로, 이 단계는 다음과 같은 입력 파이프라인을 입력으로 사용합니다.
| 이 파이프라인에는 |
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샘플 쿼리는 다음 단계를 사용하여 시맨틱 및 텍스트 검색 결과를 결합하고 결과에서 단일 순위의 문서 목록을 반환합니다.