Atlas 배포와 함께 Atlas Search 사용
이 페이지의 내용
이 튜토리얼에서는 atlas deployments
명령을 사용하여 Atlas Search 검색 인덱스를 만들고, 쿼리를 실행하고, Atlas Vector Search로 작업하는 방법을 보여 줍니다.
사전 요구 사항을 완료하세요.
시작하기 전에 다음 사전 요구 사항을 완료하세요.
중요
종속성 목록의 각 제품에 대한 호환성 정보는 제품의 설치 설명서를 참조하세요.
예시(macOS):
brew install mongodb-atlas-cli 다른 운영 체제에 대한 Atlas CLI 설치 지침에 학습 보려면 Atlas CLI Atlas CLI 또는 업데이트를 참조하세요.
mongosh 버전 2.0 이상을 설치합니다.
예시(macOS):
brew install mongosh 다른 운영 체제에 대한
mongosh
설치 지침에 대해 알아보려면 mongosh 설치를 참조하세요.(선택 사항) Compass 버전 1.39.4 이상을 설치합니다.
예시(macOS):
brew install mongodb-compass 다른 운영 체제에 대한 Compass 설치 지침에 대해 알아보려면 Compass 다운로드 및 설치를 참조하세요.
예시(macOS):
brew tap mongodb/brew && brew install mongodb-database-tools 다른 운영 체제에 대한 MongoDB database 도구 설치 지침에 대해 자세히 알아보려면 데이터베이스 도구 설치를 참조 Database Tools.
MacOS 또는 Window를 사용한다면 Docker Desktop v4.31 이상을 설치하세요.
Linux를 사용한다면 Docker Engine v27.0 이상을 설치하세요.
참고
Docker 는 MongoDB 이미지를 가져오고 캐싱하기 위해 네트워크 연결이 필요합니다.
Podman v5.0+ Linux RHEL 버전에서도 지원됩니다.
Atlas 배포를 생성합니다.
예시:
atlas deployments setup 자세한 내용 은 로컬 Atlas 배포 생성을 참조하세요.
중요
Atlas CLI를 Atlas Vector Search와 함께 사용하려면 MongoDB 7.0.5 이상을 사용하여 Atlas 배포를 만들어야 합니다. 이전 MongoDB 버전으로 로컬 Atlas 배포를 만든 경우, 최신 MongoDB 버전이 자동으로 제공되지 않습니다. 이전 이미지와 배포를 삭제해야 합니다. 그런 다음 새 Atlas 배포를 생성해야 합니다.
샘플 데이터를 다운로드하고 로드합니다.
예시:
다음 명령을 실행하여 샘플 데이터를 다운로드합니다.
curl https://atlas-education.s3.amazonaws.com/sampledata.archive -o sampledata.archive 다음 명령을 복사하여 터미널에 붙여넣고
{port-number}
를 배포용 포트로 바꿉니다.mongorestore --archive=sampledata.archive --port={port-number}
제한 사항 검토
다음과 같은 제한 사항이 적용됩니다:
동시 검색 은 수행할 수 없습니다.
부울 절은 1024 개를 초과할 수 없습니다.
Atlas Search 인덱스 생성 및 쿼리 실행
atlas deployments
명령을 사용하여 Atlas Search로 작업하세요. 자세히 알아보려면 Atlas Search를 참조하세요.
이 명령은 다음과 같은 방법으로 실행할 수 있습니다.
대화형 모드: 이 명령은 Atlas Search를 묻는 메시지를 표시합니다.
참고
대화형 모드 에서는 기본 설정으로 기본 Atlas Search 인덱스를 만들 수 있습니다.
비대화형 모드(플래그): 지정된 옵션을 사용하여 명령을 실행합니다. 이 명령은 추가 값을 제공하라는 메시지를 표시하지 않습니다.
비대화형 모드(구성 파일): 구성 파일의 지정된 설정을 사용하여 명령을 실행합니다. 이 명령은 추가 값을 제공하라는 메시지를 표시하지 않습니다.
다음 탭 중 하나를 클릭하면 원하는 모드에 대한 명령을 확인할 수 있습니다.
예제 쿼리를 실행합니다.
db.movies.aggregate([ { $search: { "index": "searchIndex", "text": { "query": "baseball", "path": "plot" } } }, { $limit: 5 }, { $project: { "_id": 0, "title": 1, "plot": 1 } } ])
[ { plot: 'A trio of guys try and make up for missed opportunities in childhood by forming a three-player baseball team to compete against standard children baseball squads.', title: 'The Benchwarmers' }, { plot: 'A young boy is bequeathed the ownership of a professional baseball team.', title: 'Little Big League' }, { plot: 'A trained chimpanzee plays third base for a minor-league baseball team.', title: 'Ed' }, { plot: 'The story of the life and career of the famed baseball player, Lou Gehrig.', title: 'The Pride of the Yankees' }, { plot: 'Babe Ruth becomes a baseball legend but is unheroic to those who know him.', title: 'The Babe' } ]
예제 쿼리를 실행합니다.
db.movies.aggregate([ { $search: { "index": "searchIndex", "text": { "query": "baseball", "path": "plot" } } }, { $limit: 5 }, { $project: { "_id": 0, "title": 1, "plot": 1 } } ])
[ { plot: 'A trio of guys try and make up for missed opportunities in childhood by forming a three-player baseball team to compete against standard children baseball squads.', title: 'The Benchwarmers' }, { plot: 'A young boy is bequeathed the ownership of a professional baseball team.', title: 'Little Big League' }, { plot: 'A trained chimpanzee plays third base for a minor-league baseball team.', title: 'Ed' }, { plot: 'The story of the life and career of the famed baseball player, Lou Gehrig.', title: 'The Pride of the Yankees' }, { plot: 'Babe Ruth becomes a baseball legend but is unheroic to those who know him.', title: 'The Babe' } ]
설정 파일을 생성합니다.<a class=\" \" href=\" \" title=\" \"><svg xmlns=\" \" width=\" \" height=\" \" fill=\" \" viewbox=\" \" class=\" \" role=\" \" aria-label=\" \"><path fill=\" \" d=\" \"> <path fill=\" \" d=\" \"> indexDef.json
{ "collectionName": "movies", "database": "sample_mflix", "mappings": { "dynamic": true }, "name": "searchIndex" }
예제 쿼리를 실행합니다.
db.movies.aggregate([ { $search: { "index": "searchIndex", "text": { "query": "baseball", "path": "plot" } } }, { $limit: 5 }, { $project: { "_id": 0, "title": 1, "plot": 1 } } ])
[ { plot: 'A trio of guys try and make up for missed opportunities in childhood by forming a three-player baseball team to compete against standard children baseball squads.', title: 'The Benchwarmers' }, { plot: 'A young boy is bequeathed the ownership of a professional baseball team.', title: 'Little Big League' }, { plot: 'A trained chimpanzee plays third base for a minor-league baseball team.', title: 'Ed' }, { plot: 'The story of the life and career of the famed baseball player, Lou Gehrig.', title: 'The Pride of the Yankees' }, { plot: 'Babe Ruth becomes a baseball legend but is unheroic to those who know him.', title: 'The Babe' } ]
Atlas 배포와 함께 Atlas Vector Search 사용
atlas deployments
명령을 사용하여 Atlas Vector Search로 작업하세요. 자세한 내용 은 Vector Atlas Search를 위한 벡터 임베딩을 인덱스하는 방법을 참조하세요.
중요
Atlas CLI를 Atlas Vector Search와 함께 사용하려면 MongoDB 7.0.5 이상을 사용하여 Atlas 배포를 만들어야 합니다. 이전 MongoDB 버전으로 로컬 Atlas 배포를 만든 경우, 최신 MongoDB 버전이 자동으로 제공되지 않습니다. 이전 이미지와 배포를 삭제해야 합니다. 그런 다음 새 Atlas 배포를 생성해야 합니다.
설정 파일을 생성합니다.<a class=\" \" href=\" \" title=\" \"><svg xmlns=\" \" width=\" \" height=\" \" fill=\" \" viewbox=\" \" class=\" \" role=\" \" aria-label=\" \"><path fill=\" \" d=\" \"> <path fill=\" \" d=\" \"> indexDef-vector.json
{ "name": "vectorSearchIndex", "type": "vectorSearch", "collectionName": "embedded_movies", "database": "sample_mflix", "fields": [ { "type": "vector", "path": "plot_embedding", "numDimensions": 1536, "similarity": "euclidean" } ] }
예제 쿼리를 실행합니다.
중요
숫자가 많은 queryVector
필드를 복사하여 터미널에 붙여넣으면 기기에 따라 시간이 걸릴 수 있습니다.
db.embedded_movies.aggregate([ { "$vectorSearch": { "index": "vectorSearchIndex", "path": "plot_embedding", "queryVector": 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[ { 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.', title: 'My Neighbor Totoro', score: 0.9999986886978149 }, { 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.", title: 'Black Moon', score: 0.8282386660575867 }, { plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.', title: 'Forest Warrior', score: 0.8196926712989807 }, { plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.', title: 'Forest Warrior', score: 0.8196901082992554 }, { plot: 'An adventurous girl finds another world that is a strangely idealized version of her frustrating home, but it has sinister secrets.', title: 'Coraline', score: 0.815956711769104 }, { plot: "Set in a medieval village that is haunted by a werewolf, a young girl falls for an orphaned woodcutter, much to her family's displeasure.", title: 'Red Riding Hood', score: 0.8112794160842896 }, { plot: 'Their women having been enslaved by the local pack of lesbian vampires thanks to an ancient curse, the remaining menfolk of a rural town send two hapless young lads out onto the moors as a sacrifice.', title: 'Vampire Killers', score: 0.8102427124977112 }, { plot: 'In a mythical land, a man and a young boy investigate a series of unusual occurrences.', title: 'Tales from Earthsea', score: 0.8100577592849731 }, { plot: 'Because of the actions of her irresponsible parents, a young girl is left alone on a decrepit country estate and survives inside her fantastic imagination.', title: 'Tideland', score: 0.8080059885978699 }, { plot: 'Two siblings discover a supernatural escape from a troubled home, but find their bond tested when reality threatens to tear their family apart.', title: 'One and Two', score: 0.8072565197944641 } ]
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