Vector Search 쿼리 실행

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정의

ANN 검색
ENN 검색
구문
필드
행동
Atlas Vector Search 인덱스
Atlas Vector Search 점수
Atlas Vector Search 사전 필터링
고려 사항
제한 사항
지원되는 클라이언트
세그먼트 전체에서 쿼리 실행 병렬화
예시
ANN 예시
ENN 예시

Atlas Vector Search 쿼리는 집계 파이프라인 단계 의 형태를 취합니다. $vectorSearch 쿼리의 경우 Atlas Vector Search 는 시맨틱 Atlas Search의 결과를 반환합니다.

참고

Atlas Vector Search는 MongoDB6.0.11, v7.0.2 이상을 실행하는 클러스터에서 ANN 검색을 지원합니다. ENN 검색은 MongoDB v6.0.16, v7.0.10, v7.3.2, 이상을 실행하는 클러스터에서 지원합니다.

정의

$vectorSearch 단계는 지정된 필드의 벡터에 대해 ANN 또는 ENN 검색을 수행합니다.

근사 최근접 이웃 검색

ANN 검색의 경우 Atlas Vector Search는 다차원 공간에서의 근접성과 고려되는 이웃 수를 기반으로 쿼리의 벡터 임베딩에 가장 가까운 벡터 임베딩을 데이터에서 찾습니다. Hierarchical Navigable Small Worlds 알고리즘을 사용하여 모든 벡터를 스캔하지 않고도 쿼리에 있는 벡터 임베딩과 가장 유사한 벡터 임베딩을 찾아냅니다. 따라서 ANN 검색은 중요한 필터링 없이 대규모 데이터 세트를 쿼리하는 데 이상적입니다.

등가 최근접 이웃 검색

ENN 검색의 경우, Atlas Vector Search는 모든 인덱싱된 벡터 임베딩을 철저히 검색하여 모든 임베딩 간의 거리를 계산하고 쿼리의 벡터 임베딩에 대한 정확한 최근접 이웃을 찾습니다. 이는 계산 집약적이며 쿼리 지연 시간에 부정적인 영향을 미칠 수 있습니다. 따라서 다음과 같은 사용 사례에 대해 ENN 검색을 사용하는 것이 좋습니다.

ENN 쿼리에 대한 이상적이고 정확한 결과를 사용하여 ANN 쿼리의 재현율과 정확도를 결정하려고 합니다.
고려할 가장 가까운 이웃 수를 조정하지 않고도 10000개 미만의 문서를 쿼리하려고 합니다.
주어진 사전 필터를 충족하는 데이터가 5% 미만인 컬렉션에 대한 쿼리에 선택적 사전 필터를 포함하려고 합니다.

구문

검색하려는 필드는 vectorSearch 인덱스 유형 내에서 Atlas Vector Search 벡터 유형으로 인덱싱되어야 합니다.

$vectorSearch

$vectorSearch 파이프라인의 프로토타입 형식은 다음과 같습니다.

{
  "$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>]
  }
}

필드

$vectorSearch 단계에서는 다음 필드가 있는 문서를 사용합니다.

필드	유형	필요성	설명
`exact`	부울	옵션	`numCandidates`를 생략한 경우 필수 항목입니다. ENN 또는 ANN 검색을 실행할지 여부를 지정하는 플래그입니다. 값은 다음 중 하나일 수 있습니다. `false` - ANN 검색 실행 시 `true` - ENN 검색 실행 시 생략하는 경우 기본값은 `false`입니다. ENN 검색은 MongoDB 버전 6.0.16 7.0.10, 7.32 이상을 실행하는 Atlas 클러스터에서 지원됩니다.
`filter`	문서	옵션	인덱싱된 필드를 부울, 날짜, objectId, 숫자(소수점 제외), 문자열 또는 UUID와 비교하여 사전 필터로 사용하는 모든 MQL 일치 표현식입니다. Atlas Vector Search가 필터에서 지원하는 쿼리 및 집계 파이프라인 연산자에 대해 알아보려면 Atlas Vector Search 사전 필터를 참조하세요.
`index`	문자열	필수 사항	사용할 Atlas Vector Search 인덱스의 이름입니다. 인덱스 이름의 철자가 틀렸거나 지정된 인덱스가 클러스터에 존재하지 않는 경우 Atlas Vector Search는 결과를 반환하지 않습니다.
`limit`	숫자	필수 사항	결과에 반환할 문서 수(`int` 유형만 해당)입니다. `numCandidates`를 지정하는 경우 이 값은 `numCandidates` 값을 초과할 수 없습니다.
`numCandidates`	숫자	옵션	`exact`가 `false`이거나 생략된 경우 이 필드는 필수입니다. 검색 중에 사용할 가장 가까운 이웃의 수입니다. 값은 (`<=`)`10000`보다 작거나 같아야 합니다. 반환할 문서 수보다 작은 숫자는 지정할 수 없습니다(`limit`). 지연 시간에 영향을 줄 수 있지만, 반환할 문서 수(`limit`)보다 큰 수를 지정하여 정확도를 높이는 것이 좋습니다. 예를 들어 문서 한 개로 제한하는 경우 가장 가까운 이웃의 비율을 10~20으로 설정하는 것이 좋습니다. 이러한 과다 요청 패턴은 aNN 검색에서 지연 시간과 리콜의 균형을 맞추는 데 권장되는 방법이며, 특정 데이터 세트에서 이를 조정하는 것이 좋습니다.
`path`	문자열	필수 사항	검색할 인덱싱된 벡터 유형 필드입니다. 자세한 내용은 경로 구성을 참조하세요.
`queryVector`	숫자 배열	필수 사항	쿼리 벡터를 나타내는 BSON `double`, BSON BinData `vector` 하위 유형 `float32` 또는 BSON BinData 하위 `vector` 유형 `int1` 또는 `int8` 유형의 숫자 배열입니다. 숫자 유형은 인덱싱된 필드 값 유형과 일치해야 합니다. 그렇지 않으면 Atlas Vector Search 에서 결과나 오류를 반환하지 않습니다. 쿼리 에 대해 BSON BinData `vector` 하위 유형 `float32` 또는 `vector` 하위 유형 또는 벡터를 생성하는 방법에 `int1` `int8` 학습 보려면 사전 양자화된 벡터 수집 방법을 참조하세요. 배열 크기는 필드에 대한 인덱스 정의에서 지정된 벡터 `dimensions`의 수와 일치해야 합니다. 데이터를 임베드할 때 사용한 것과 동일한 모델을 사용하여 쿼리를 임베드해야 합니다.

행동

$vectorSearch 표시되는 파이프라인의 첫 번째 단계에 있어야 합니다.

Atlas Vector Search 인덱스

검색할 필드를 인덱싱하려면 vectorSearch 유형 인덱스 정의의 $vectorSearch 단계를 사용하여 검색할 필드를 인덱싱해야 합니다. Atlas Vector Search의 vectorSearch 유형 인덱스 정의에서 다음 유형의 필드를 인덱싱할 수 있습니다.

벡터 유형으로 벡터 임베딩을 포함하는 필드입니다.
사전 필터링된 데이터에서 벡터 검색을 가능하게 하는 필터 유형으로 부울, 날짜, objectId, 숫자, ㅁ문자열 및 UUID 값을 포함하는 필드입니다.

이러한 Atlas Vector Search 필드 유형에 대해 자세히 알아보려면 벡터 검색을 위해 필드를 인덱싱하는 방법을 참조하세요.

Atlas Vector Search 점수

Atlas Vector Search는 반환하는 모든 문서에 0~1(여기서 0은 낮은 유사성을 나타내고 1은 높은 유사성을 나타냄) 사이의 고정된 범위의 점수를 할당합니다. cosine 및 dotProduct 유사성의 경우 Atlas Vector Search는 점수를 정규화하여 점수가 음수가 되지 않도록 합니다.

cosine의 경우 Atlas Vector Search는 다음 알고리즘을 사용하여 점수를 정규화합니다.

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

dotProduct의 경우 Atlas Vector Search는 다음 알고리즘을 사용하여 점수를 정규화합니다.

score = (1 + dotProduct(v1,v2)) / 2

이러한 알고리즘은 Atlas Vector Search가 문서 벡터(v1) 그리고 범위가 [-1, 1]인 쿼리 벡터(v2)의 유사성 점수를 고려하여 점수를 정규화한다는 것을 보여줍니다. Atlas Vector Search는 유사성 점수에 1을 추가하여 점수를 [0, 2] 범위로 정규화한 후 2로 나누어 0과 1 사이의 값이 되도록 합니다.

euclidean 유사성에 대해 Atlas Vector Search는 다음 알고리즘을 사용하여 점수를 정규화하여 0과 1 사이의 값이 되도록 합니다.

score = 1 / (1 + euclidean(v1,v2))

위의 알고리즘은 Atlas Vector Search가 유클리드 거리를 계산하여 점수를 정규화하는 것을 보여줍니다. 유클리드 거리는 문서 벡터(v1) 그리고 범위가 [0, ∞]인 쿼리 벡터(v2) 사이의 거리입니다. 그런 다음 Atlas Vector Search는 거리에 1을 더하여 거리를 유사성 점수로 변환한 후 1을 유사성 점수로 나누어 0과 1 사이의 값이 되도록 합니다.

반환된 문서에 할당된 점수는 문서 메타데이터의 일부입니다. 반환된 각 문서의 점수를 결과 집합과 함께 포함하려면 집계 파이프라인에서 $project 단계를 사용하세요.

Atlas Vector Search 쿼리 결과의 점수를 조회하려면 $meta 표현식의 값으로 vectorSearchScore를 사용합니다. 즉, $vectorSearch 단계 이후 $project 단계에서 score 필드는 $meta 표현식을 사용합니다. 벡터 검색을 위한 문서 점수를 반환하려면 표현식에 vectorSearchScore 값이 필요합니다.

예시

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 ])

참고

데이터를 사전 필터링해도 Atlas Vector Search가 $vectorSearch 쿼리에 대해 $vectorSearchScore를 사용하여 반환되는 점수에는 영향을 주지 않습니다.

Atlas Vector Search 사전 필터링

$vectorSearch filter 옵션은 BSON 부울, 날짜, objectId, 숫자, 문자열 및 UUID 값과만 일치합니다. 반드시 데이터를 필터링하려는 필드를 vectorSearch 유형 인덱스 정의의 필터 유형으로 인덱싱해야 합니다. 데이터 필터링은 시맨틱 검색의 범위를 좁히고 모든 벡터가 비교 대상으로 고려되지 않도록 하는 데 유용합니다.

Atlas Vector Search는 다음 MQL 매치 표현식에 대해 $vectorSearchfilter 옵션을 지원합니다.

$vectorSearch filter 옵션은 다음 집계 파이프라인 연산자만 지원합니다.

참고

$vectorSearch filter 옵션은 다른 쿼리 연산자, 집계 파이프라인 연산자 또는 Atlas Search 연산자를 지원하지 않습니다.

고려 사항

Atlas Vector Search는 $eq의 짧은 형식을 지원합니다. 짧은 형식에서는 쿼리에 $eq를 지정할 필요가 없습니다.

예시

예를 들어, $eq가 포함된 다음 필터를 가정하겠습니다.

"filter": { "_id": { "$eq": ObjectId("5a9427648b0beebeb69537a5") }

$eq의 짧은 형식을 사용하여 앞의 쿼리를 다음과 같이 실행할 수 있습니다.

"filter": { "_id": ObjectId("5a9427648b0beebeb69537a5") }

또한 $and 연산자를 사용하여 단일 쿼리에 필터 배열을 지정할 수 있습니다.

예시

예를 들어 genres 필드가 Action이고 year 필드가 1999, 2000 또는 2001인 문서에 대해 다음과 같은 사전 필터를 사용한다고 가정해 보겠습니다.

"filter": {
  "$and": [
    { "genres": "Action" },
    { "year": { "$in": [ 1999, 2000, 2001 ] } }
  ]
}

제한 사항

$vectorSearch 다음 MongoDB 버전을 실행하는 Atlas 클러스터에서만 지원됩니다.

v6.0.11
v7.0.2 이상(RC 포함)

$vectorSearch는 보기 정의 및 다음 파이프라인 단계에서 사용할 수 없습니다.

$lookup 하위 파이프라인
$unionWith 하위 파이프라인
$facet 파이프라인 단계

$vectorSearch 의 결과를 이 단계로 전달할 수 있습니다.

지원되는 클라이언트

Atlas UI, mongosh 및 모든 MongoDB $vectorSearch운전자 를 사용하여 쿼리를 실행 수 있습니다.

Atlas CLI를 사용하여 만든 로컬 Atlas 배포와 함께 Atlas Vector Search를 사용할 수도 있습니다. 자세한 내용은 로컬 Atlas 배포 만들기를 참조하세요.

세그먼트 전체에서 쿼리 실행 병렬화

벡터 검색 쿼리 처리를 분리하려면 전담 검색 노드를 사용하는 것이 좋습니다. 전용 검색 노드에서 향상된 쿼리 성능을 경험할 수 있습니다. 고성능 CPU 시스템일수록 성능이 더 향상될 수 있습니다. Atlas Vector Search가 검색 노드에서 실행되는 경우 Atlas Vector Search는 여러 데이터 세그먼트에서 쿼리 실행을 병렬화합니다.

쿼리 처리를 병렬화하면 대규모 데이터 세트의 쿼리처럼 대부분의 경우 응답 시간이 개선됩니다. Atlas Vector Search 쿼리 처리 도중 쿼리 내 병렬 처리를 사용하면 더 많은 리소스를 사용하면서도 각각의 개별적인 쿼리의 지연 시간을 개선할 수 있습니다.

참고

Atlas Vector Search는 각 쿼리가 동시에 실행된다고 보장하지 않습니다. 예를 들어 대기 중인 동시 쿼리가 너무 많으면 Atlas Vector Search가 단일 스레드 실행으로 대체될 수 있습니다.

동일한 연속 쿼리에 대해 일관되지 않은 결과가 표시될 수 있습니다. 이를 완화하려면 $vectorSearch 쿼리에서 numCandidates의 값을 늘리세요.

예시

다음 쿼리는 $vectorSearch 단계를 사용하여 샘플 sample_mflix.embedded_movies 컬렉션을 검색합니다. 쿼리는 OpenAI의 text-embedding-ada-002 임베딩 모델을 사용하여 생성된 임베딩이 포함된 plot_embedding 필드를 검색합니다. 샘플 컬렉션을 Atlas 클러스터에 추가하고 컬렉션에 대한 샘플 인덱스를 만든 경우 컬렉션에 대해 다음 쿼리를 실행할 수 있습니다.

참고

샘플 코드의 queryVector를 터미널에 붙여넣는 것은 컴퓨터에 따라 시간이 걸릴 수 있습니다.

➤ 언어 선택 드롭다운 메뉴를 사용하여 이 페이지에 있는 예시의 언어를 설정합니다.

근사 최근접 이웃 예시

다음 쿼리는 $vectorSearch 단계를 사용하여 문자열 시간 이동에 대한 벡터 임베딩을 사용하여 plot_embedding 필드를 검색합니다. 가장 가까운 이웃을 150개까지 고려하고, 결과에 10개의 문서를 반환합니다. 또한 다음 작업을 수행하기 위해 $project 단계를 지정합니다.

_id 필드를 제외하고 plot 및 title 필드만 결과에 포함합니다.
결과의 각 문서에 대한 벡터 검색 점수를 보여주는 score 필드를 추가합니다.

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 ]

다음 쿼리는 01 1955 ~ 01 1975 사이에 개봉한 영화의 문서를 필터링한 후 샘플 벡터 데이터에 대해 시맨틱 Atlas Search를 수행합니다. $and 연산자를 사용하여 지정된 날짜에 대한 논리적 AND 연산을 수행합니다. 그런 다음 필터링된 문서의 plot_embedding 필드에서 string 어린이 모험 에 대한 벡터 임베딩을 사용하여 150 가장 가까운 이웃을 검색하고 결과에 10 문서를 반환합니다. 이 쿼리는 또한 다음을 수행하는 $project 단계를 지정합니다.

_id 필드를 제외하고 결과에 plot, title 및 year 필드만 포함합니다.
결과에서 문서의 벡터 Atlas Search 점수를 표시하는 score 필드를 추가합니다.

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 ]

Atlas Vector Search는 1955~1975 범위의 year 필드 값을 기반으로 문서를 필터링합니다. 1955~1975년에 개봉된 영화의 줄거리에서 어린이의 모험을 요약한 문서를 반환합니다.

팁

추가 필터 예시도 참조하세요.

Atlas Cluster의 데이터에 대해 시맨틱 검색을 수행하는 방법 자습서에서는 sample_mflix.embedded_movies 컬렉션에 포함된 데이터에 대한 시맨틱 검색 쿼리의 다른 사전 필터를 보여줍니다.

_id 필드를 제외하고 plot 및 title 필드만 결과에 포함합니다.
결과의 각 문서에 대한 벡터 검색 점수를 보여주는 score 필드를 추가합니다.

1 using MongoDB.Bson;
2 using MongoDB.Bson.Serialization.Attributes;
3 using MongoDB.Bson.Serialization.Conventions;
4 using MongoDB.Driver;
5 
6 public class vectorSearchBasicQuery 
7 {
8   // define connection to your Atlas cluster
9   private const string MongoConnectionString = "<connection-string>";
10 
11   public static void Main(string[] args){
12     var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
13     ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
14 
15     // connect to your Atlas cluster
16     var mongoClient = new MongoClient(MongoConnectionString);
17 
18     // define namespace
19     var moviesDatabase = mongoClient.GetDatabase("sample_mflix");
20     var moviesCollection = moviesDatabase.GetCollection<EmbeddedMovie>("embedded_movies");
21 
22     // define vector embeddings to search
23     var vector = new[] 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24     var options = new VectorSearchOptions<EmbeddedMovie>() {
25         IndexName = "vector_index",
26         NumberOfCandidates = 150
27     };
28 
29     // run query
30     var results = moviesCollection.Aggregate()
31                 .VectorSearch(movie => movie.Embedding, vector, 10, options)
32                 .Project(Builders<EmbeddedMovie>.Projection
33                   .Include(movie => movie.Title)
34                   .Include(movie => movie.Plot)
35                   .Exclude(movie => movie.Id)
36                   .MetaVectorSearchScore(movie => movie.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 ObjectId Id { get; set; }
52     public string Title { get; set; }
53     public string Plot { get; set; }
54     [BsonElement("plot_embedding")]
55     public double[] Embedding { get; set; }
56     public double Score { get; set; }
57 }

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" : 0.78926712274551392 }
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" : 0.78436046838760376 }
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" : 0.78010666370391846 }
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" : 0.77891707420349121 }
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" : 0.77716124057769775 }
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" : 0.77308857440948486 }
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" : 0.77123808860778809 }
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" : 0.76699239015579224 }
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" : 0.76493728160858154 }
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" : 0.76407861709594727 }

_id 필드를 제외하고 결과에 plot, title 및 year 필드만 포함합니다.
결과에서 문서의 벡터 Atlas Search 점수를 표시하는 score 필드를 추가합니다.

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 }

팁

추가 필터 예시도 참조하세요.

_id 필드를 제외하고 plot 및 title 필드만 결과에 포함합니다.
결과의 각 문서에 대한 벡터 검색 점수를 보여주는 score 필드를 추가합니다.

1 package main
2 
3 import (
4 	"context"
5 	"fmt"
6 	"log"
7 
8 	"go.mongodb.org/mongo-driver/bson"
9 	"go.mongodb.org/mongo-driver/mongo"
10 	"go.mongodb.org/mongo-driver/mongo/options"
11 )
12 
13 func main() {
14 	ctx := context.Background()
15 
16 	// Replace the placeholder with your Atlas connection string
17 	const uri = "<connection-string>"
18 
19 	// Connect to your Atlas cluster
20 	clientOptions := options.Client().ApplyURI(uri)
21 	client, err := mongo.Connect(ctx, clientOptions)
22 	if err != nil {
23 		log.Fatalf("failed to connect to the server: %v", err)
24 	}
25 	defer func() { _ = client.Disconnect(ctx) }()
26 
27 	// Set the namespace
28 	coll := client.Database("sample_mflix").Collection("embedded_movies")
29 
30 	queryVector := [1536]float64{
31 		-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, -0.012555866, 0.0209531, 0.01982014, 0.024485271, 0.0105431955, -0.005178295, 0.033162415, -0.013795458, 0.007150979, 0.010243294, 0.005644808, 0.017260984, -0.0045618312, 0.0024725192, 0.004305249, -0.008197301, 0.0014203656, 0.0018460588, 0.005015015, -0.011142998, 0.01439526, 0.022965772, 0.02552493, 0.007757446, -0.0019726837, 0.009503538, -0.032042783, 0.008403899, -0.04609149, 0.013808787, 0.011749465, 0.036388017, 0.016314628, 0.021939443, -0.0250051, -0.017354285, -0.012962398, 0.00006107364, 0.019113706, 0.03081652, -0.018114036, -0.0084572155, 0.009643491, -0.0034721901, 0.0072642746, -0.0090636825, 0.01642126, 0.013428912, 0.027724205, 0.0071243206, -0.6858542, -0.031029783, -0.014595194, -0.011449563, 0.017514233, 0.01743426, 0.009950057, 0.0029706885, -0.015714826, -0.001806072, 0.011856096, 0.026444625, -0.0010663156, -0.006474535, 0.0016161345, -0.020313311, 0.0148351155, -0.0018393943, 0.0057347785, 0.018300641, -0.018647194, 0.03345565, -0.008070676, 0.0071443142, 0.014301958, 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-0.006251275, -0.021099718, -0.010256623, -0.008863748, 0.028550599, 0.02020668, -0.0012962399, -0.003415542, -0.0022509254, 0.0119360695, 0.027590916, -0.046971202, -0.0015194997, -0.022405956, 0.0016677842, -0.00018535563, -0.015421589, -0.031802863, 0.03814744, 0.0065411795, 0.016567878, -0.015621523, 0.022899127, -0.011076353, 0.02841731, -0.002679118, -0.002342562, 0.015341615, 0.01804739, -0.020566562, -0.012989056, -0.002990682, 0.01643459, 0.00042527664, 0.008243952, -0.013715484, -0.004835075, -0.009803439, 0.03129636, -0.021432944, 0.0012087687, -0.015741484, -0.0052016205, 0.00080890034, -0.01755422, 0.004811749, -0.017967418, -0.026684547, -0.014128681, 0.0041386373, -0.013742141, -0.010056688, -0.013268964, -0.0110630235, -0.028337335, 0.015981404, -0.00997005, -0.02424535, -0.013968734, -0.028310679, -0.027750863, -0.020699851, 0.02235264, 0.001057985, 0.00081639783, -0.0099367285, 0.013522214, -0.012016043, -0.00086471526, 0.013568865, 0.0019376953, -0.019020405, 0.017460918, -0.023045745, 0.008503866, 0.0064678704, -0.011509543, 0.018727167, -0.003372223, -0.0028690554, -0.0027024434, -0.011902748, -0.012182655, -0.015714826, -0.0098634185, 0.00593138, 0.018753825, 0.0010146659, 0.013029044, 0.0003521757, -0.017620865, 0.04102649, 0.00552818, 0.024485271, -0.009630162, -0.015608194, 0.0006718621, -0.0008418062, 0.012395918, 0.0057980907, 0.016221326, 0.010616505, 0.004838407, -0.012402583, 0.019900113, -0.0034521967, 0.000247002, -0.03153628, 0.0011038032, -0.020819811, 0.016234655, -0.00330058, -0.0032289368, 0.00078973995, -0.021952773, -0.022459272, 0.03118973, 0.03673457, -0.021472929, 0.0072109587, -0.015075036, 0.004855068, -0.0008151483, 0.0069643734, 0.010023367, -0.010276617, -0.023019087, 0.0068244194, -0.0012520878, -0.0015086699, 0.022046074, -0.034148756, -0.0022192693, 0.002427534, -0.0027124402, 0.0060346797, 0.015461575, 0.0137554705, 0.009230294, -0.009583511, 0.032629255, 0.015994733, -0.019167023, -0.009203636, 0.03393549, -0.017274313, -0.012042701, -0.0009930064, 0.026777849, -0.013582194, -0.0027590916, -0.017594207, -0.026804507, -0.0014236979, -0.022032745, 0.0091236625, -0.0042419364, -0.00858384, -0.0033905501, -0.020739838, 0.016821127, 0.022539245, 0.015381602, 0.015141681, 0.028817179, -0.019726837, -0.0051283115, -0.011489551, -0.013208984, -0.0047017853, -0.0072309524, 0.01767418, 0.0025658219, -0.010323267, 0.012609182, -0.028097415, 0.026871152, -0.010276617, 0.021912785, 0.0022542577, 0.005124979, -0.0019710176, 0.004518512, -0.040360045, 0.010969722, -0.0031539614, -0.020366628, -0.025778178, -0.0110030435, -0.016221326, 0.0036587953, 0.016207997, 0.003007343, -0.0032555948, 0.0044052163, -0.022046074, -0.0008822095, -0.009363583, 0.028230704, -0.024538586, 0.0029840174, 0.0016044717, -0.014181997, 0.031349678, -0.014381931, -0.027750863, 0.02613806, 0.0004136138, -0.005748107, -0.01868718, -0.0010138329, 0.0054348772, 0.010703143, -0.003682121, 0.0030856507, -0.004275259, -0.010403241, 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-0.0034038792, -0.006321252, -0.0016161345, 0.033642255, -0.000056075285, -0.005005019, 0.004571828, -0.0024075406, -0.00010215386, 0.0098634185, 0.1980148, -0.003825407, -0.025191706, 0.035161756, 0.005358236, 0.025111731, 0.023485601, 0.0023342315, -0.011882754, 0.018287312, -0.0068910643, 0.003912045, 0.009243623, -0.001355387, -0.028603915, -0.012802451, -0.030150073, -0.014795128, -0.028630573, -0.0013487226, 0.002667455, 0.00985009, -0.0033972147, -0.021486258, 0.009503538, -0.017847456, 0.013062365, -0.014341944, 0.005078328, 0.025165047, -0.015594865, -0.025924796, -0.0018177348, 0.010996379, -0.02993681, 0.007324255, 0.014475234, -0.028577257, 0.005494857, 0.00011725306, -0.013315615, 0.015941417, 0.009376912, 0.0025158382, 0.008743787, 0.023832154, -0.008084005, -0.014195326, -0.008823762, 0.0033455652, -0.032362677, -0.021552904, -0.0056081535, 0.023298996, -0.025444955, 0.0097301295, 0.009736794, 0.015274971, -0.0012937407, -0.018087378, -0.0039387033, 0.008637156, -0.011189649, -0.00023846315, -0.011582852, 0.0066411467, -0.018220667, 0.0060846633, 0.0376676, -0.002709108, 0.0072776037, 0.0034188742, -0.010249958, -0.0007747449, -0.00795738, -0.022192692, 0.03910712, 0.032122757, 0.023898797, 0.0076241563, -0.007397564, -0.003655463, 0.011442899, -0.014115352, -0.00505167, -0.031163072, 0.030336678, -0.006857742, -0.022259338, 0.004048667, 0.02072651, 0.0030156737, -0.0042119464, 0.00041861215, -0.005731446, 0.011103011, 0.013822115, 0.021512916, 0.009216965, -0.006537847, -0.027057758, -0.04054665, 0.010403241, -0.0056281467, -0.005701456, -0.002709108, -0.00745088, -0.0024841821, 0.009356919, -0.022659205, 0.004061996, -0.013175662, 0.017074378, -0.006141311, -0.014541878, 0.02993681, -0.00028448965, -0.025271678, 0.011689484, -0.014528549, 0.004398552, -0.017274313, 0.0045751603, 0.012455898, 0.004121976, -0.025458284, -0.006744446, 0.011822774, -0.015035049, -0.03257594, 0.014675168, -0.0039187097, 0.019726837, -0.0047251107, 0.0022825818, 0.011829439, 0.005391558, -0.016781142, -0.0058747325, 0.010309938, -0.013049036, 0.01186276, -0.0011246296, 0.0062112883, 0.0028190718, -0.021739509, 0.009883412, -0.0073175905, -0.012715813, -0.017181009, -0.016607866, -0.042492677, -0.0014478565, -0.01794076, 0.012302616, -0.015194997, -0.04433207, -0.020606548, 0.009696807, 0.010303274, -0.01694109, -0.004018677, 0.019353628, -0.001991011, 0.000058938927, 0.010536531, -0.17274313, 0.010143327, 0.014235313, -0.024152048, 0.025684876, -0.0012504216, 0.036601283, -0.003698782, 0.0007310093, 0.004165295, -0.0029157067, 0.017101036, -0.046891227, -0.017460918, 0.022965772, 0.020233337, -0.024072073, 0.017220996, 0.009370248, 0.0010363255, 0.0194336, -0.019606877, 0.01818068, -0.020819811, 0.007410893, 0.0019326969, 0.017887443, 0.006651143, 0.00067394477, -0.011889419, -0.025058415, -0.008543854, 0.021579562, 0.0047484366, 0.014062037, 0.0075508473, -0.009510202, -0.009143656, 0.0046817916, 0.013982063, -0.0027990784, 0.011782787, 0.014541878, -0.015701497, -0.029350337, 0.021979429, 0.01332228, -0.026244693, -0.0123492675, -0.003895384, 0.0071576433, -0.035454992, -0.00046984528, 0.0033522295, 0.039347045, 0.0005119148, 0.00476843, -0.012995721, 0.0024042083, -0.006931051, -0.014461905, -0.0127558, 0.0034555288, -0.0074842023, -0.030256703, -0.007057676, -0.00807734, 0.007804097, -0.006957709, 0.017181009, -0.034575284, -0.008603834, -0.005008351, -0.015834786, 0.02943031, 0.016861115, -0.0050849924, 0.014235313, 0.0051449724, 0.0025924798, -0.0025741523, 0.04289254, -0.002104307, 0.012969063, -0.008310596, 0.00423194, 0.0074975314, 0.0018810473, -0.014248641, -0.024725191, 0.0151016945, -0.017527562, 0.0018727167, 0.0002830318, 0.015168339, 0.0144219175, -0.004048667, -0.004358565, 0.011836103, -0.010343261, -0.005911387, 0.0022825818, 0.0073175905, 0.00403867, 0.013188991, 0.03334902, 0.006111321, 0.008597169, 0.030123414, -0.015474904, 0.0017877447, -0.024551915, 0.013155668, 0.023525586, -0.0255116, 0.017220996, 0.004358565, -0.00934359, 0.0099967085, 0.011162991, 0.03092315, -0.021046404, -0.015514892, 0.0011946067, -0.01816735, 0.010876419, -0.10124666, -0.03550831, 0.0056348112, 0.013942076, 0.005951374, 0.020419942, -0.006857742, -0.020873128, -0.021259667, 0.0137554705, 0.0057880944, -0.029163731, -0.018767154, -0.021392956, 0.030896494, -0.005494857, -0.0027307675, -0.006801094, -0.014821786, 0.021392956, -0.0018110704, -0.0018843795, -0.012362596, -0.0072176233, -0.017194338, -0.018713837, -0.024272008, 0.03801415, 0.00015880188, 0.0044951867, -0.028630573, -0.0014070367, -0.00916365, -0.026537929, -0.009576847, -0.013995391, -0.0077107945, 0.0050016865, 0.00578143, -0.04467862, 0.008363913, 0.010136662, -0.0006268769, -0.006591163, 0.015341615, -0.027377652, -0.00093136, 0.029243704, -0.020886457, -0.01041657, -0.02424535, 0.005291591, -0.02980352, -0.009190307, 0.019460259, -0.0041286405, 0.004801752, 0.0011787785, -0.001257086, -0.011216307, -0.013395589, 0.00088137644, -0.0051616337, 0.03876057, -0.0033455652, 0.00075850025, -0.006951045, -0.0062112883, 0.018140694, -0.006351242, -0.008263946, 0.018154023, -0.012189319, 0.0075508473, -0.044358727, -0.0040153447, 0.0093302615, -0.010636497, 0.032789204, -0.005264933, -0.014235313, -0.018393943, 0.007297597, -0.016114693, 0.015021721, 0.020033404, 0.0137688, 0.0011046362, 0.010616505, -0.0039453674, 0.012109346, 0.021099718, -0.0072842683, -0.019153694, -0.003768759, 0.039320387, -0.006747778, -0.0016852784, 0.018154023, 0.0010963057, -0.015035049, -0.021033075, -0.04345236, 0.017287642, 0.016341286, -0.008610498, 0.00236922, 0.009290274, 0.028950468, -0.014475234, -0.0035654926, 0.015434918, -0.03372223, 0.004501851, -0.012929076, -0.008483873, -0.0044685286, -0.0102233, 0.01615468, 0.0022792495, 0.010876419, -0.0059647025, 0.01895376, -0.0069976957, -0.0042952523, 0.017207667, -0.00036133936, 0.0085905045, 0.008084005, 0.03129636, -0.016994404, -0.014915089, 0.020100048, -0.012009379, -0.006684466, 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0.042732596, -0.011649498, -0.011982721, -0.016967745, -0.0060913274, -0.007130985, -0.013109017, -0.009710136,
32 	}
33 
34 	vectorSearchStage := bson.D{
35 		{"$vectorSearch", bson.D{
36 			{"index", "vector_index"},
37 			{"path", "plot_embedding"},
38 			{"queryVector", queryVector},
39 			{"numCandidates", 150},
40 			{"limit", 10},
41 		}}}
42 
43 	projectStage := bson.D{
44 		{"$project", bson.D{
45 			{"_id", 0},
46 			{"plot", 1},
47 			{"title", 1},
48 			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
49 		}}}
50 
51 	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
52 	if err != nil {
53 		log.Fatalf("failed to retrieve data from the server: %v", err)
54 	}
55 	// Display the results
56 	type ProjectedMovieResult struct {
57 		Title string  `bson:"title"`
58 		Plot  string  `bson:"plot"`
59 		Score float64 `bson:"score"`
60 	}
61 
62 	var results []ProjectedMovieResult
63 	if err = cursor.All(ctx, &results); err != nil {
64 		log.Fatalf("failed to unmarshal retrieved docs to ProjectedMovieResult objects: %v", err)
65 	}
66 	for _, result := range results {
67 		fmt.Printf("Title: %v \nPlot: %v \nScore: %v \n\n", result.Title, result.Plot, result.Score)
68 	}
69 }

1 Title: Thrill Seekers
2 Plot: A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.
3 Score: 0.7892671227455139
4 
5 Title: About Time
6 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.
7 Score: 0.7843604683876038
8 
9 Title: The Time Machine
10 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.
11 Score: 0.7801066637039185
12 
13 Title: Crusade in Jeans
14 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...
15 Score: 0.7789170742034912
16 
17 Title: Timecop
18 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.
19 Score: 0.7771612405776978
20 
21 Title: A.P.E.X.
22 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...
23 Score: 0.7730885744094849
24 
25 Title: Men in Black 3
26 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.
27 Score: 0.7712380886077881
28 
29 Title: Tomorrowland
30 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.
31 Score: 0.7669923901557922
32 
33 Title: Love Story 2050
34 Plot: With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.
35 Score: 0.7649372816085815
36 
37 Title: The Portal
38 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 ...
39 Score: 0.7640786170959473

_id 필드를 제외하고 결과에 plot, title 및 year 필드만 포함합니다.
결과에서 문서의 벡터 Atlas Search 점수를 표시하는 score 필드를 추가합니다.

1 package main
2 
3 import (
4 	"context"
5 	"fmt"
6 	"log"
7 
8 	"go.mongodb.org/mongo-driver/bson"
9 	"go.mongodb.org/mongo-driver/mongo"
10 	"go.mongodb.org/mongo-driver/mongo/options"
11 )
12 
13 func main() {
14 	ctx := context.Background()
15 
16 	// Replace the placeholder with your Atlas connection string
17 	const uri = "<connection-string>"
18 
19 	// Connect to your Atlas cluster
20 	clientOptions := options.Client().ApplyURI(uri)
21 	client, err := mongo.Connect(ctx, clientOptions)
22 	if err != nil {
23 		log.Fatalf("failed to connect to the server: %v", err)
24 	}
25 	defer func() { _ = client.Disconnect(ctx) }()
26 
27 	// Set the namespace
28 	coll := client.Database("sample_mflix").Collection("embedded_movies")
29 
30 	queryVector := [1536]float64{
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-0.002267671, 0.015047288, 0.018643826, 0.013976259, 0.0052394443, 0.0059534633, 0.010016099, -0.0016528215, -0.03670586, 0.023483288, 0.008250885, -0.0051997765, -0.012607723, -0.019133061, -0.005798098, -0.012991177, -0.001120613, 0.015272071, -0.03279198, -0.040646188, -0.014994397, -0.009031017, 0.014108485, -0.011424302, 0.021420566, 0.0053353077, 0.0052361386, -0.012607723, -0.0076823146, -0.17136453, -0.0011024319, 0.011351578, -0.0062278314, 0.008700453, 0.0017106703, 0.011992873, 0.0048758234, -0.004568399, -0.0052460553, 0.02729139, -0.013407689, -0.041809775, 0.0023552708, 0.025612123, 0.031337496, -0.008925236, 0.017004227, 0.013989481, 0.005252667, 0.02344362, 0.023879966, -0.0006917058, 0.013949813, 0.0005198124, 0.0051072184, 0.0040791635, 0.0046576513, -0.012574666, -0.013698584, -0.012654002, -0.00344448, -0.006862515, 0.012944899, 0.023324618, 0.004743598, -0.029724343, 0.006307167, 0.0016453839, 0.0093549695, -0.008469057, 0.035648055, 0.01454483, -0.0115697505, 0.011344967, 0.015496855, -0.013738252, -0.0026610426, -0.005923712, -0.007953377, 0.01609187, -0.02698727, 0.011483804, -0.014796059, 0.024408868, 0.009778093, -0.0014437396, 0.007001352, 0.022068473, -0.011701977, -0.00007365386, -0.023377508, 0.012964732, -0.010445832, -0.018114924, -0.04009084, -0.0056427326, 0.0071269665, -0.03300354, 0.028666537, -0.025850128, -0.017440572, 0.007966599, -0.026484812, 0.012409384, -0.0022032112, -0.009778093, -0.005798098, -0.015430742, -0.0028775623, -0.011629253, 0.035304267, -0.03295065, 0.019384291, -0.009513641, 0.017387683, -0.019873526, -0.011113572, -0.012052375, -0.010531778, 0.010459054, -0.034458023, -0.01876283, -0.00026589766, 0.008217828, 0.025202222, 0.0009792967, -0.005712151, 0.005150192, -0.01794303, -0.0048956573, -0.010895399, -0.007345139, -0.005725374, 0.036917422, -0.009447528, 0.042603128, 0.017969476, 0.03094082, -0.0061617186, 0.01459772, 0.0040031336, 0.004340309, 0.01979419, -0.0055799256, 0.020349538, -0.019040504, -0.019648742, 0.019780967, -0.0012842424, 0.03839835, -0.0005590669, -0.023165947, -0.011067293, 0.014015927, 0.012303604, -0.10461699, -0.009315303, 0.00067393796, 0.021195784, -0.017506685, 0.009427694, 0.0045055915, 0.00096194213, 0.015919978, 0.016435657, -0.014095262, 0.0028676454, -0.004730375, -0.0136721395, 0.010306995, -0.0073186937, -0.013401077, -0.0090045715, -0.019344624, 0.009242578, -0.016686887, 0.0007702148, 0.012528387, -0.012025929, -0.022689935, -0.009976431, -0.032236632, 0.02750295, 0.004158499, 0.01855127, 0.002371799, -0.0053320024, 0.007715371, -0.03252753, -0.013500246, 0.011973039, -0.008469057, -0.0022924636, 0.0213809, -0.04842106, 0.018895056, 0.0015858823, 0.007576534, -0.024964217, 0.014994397, 0.0020412346, -0.005249361, 0.0014792753, 0.009348359, -0.03638852, -0.028402084, -0.01084251, -0.019979307, -0.0035304269, 0.0036064566, -0.014994397, 0.017652133, 0.01305729, 0.007907098, 0.006667482, 0.0028676454, -0.020005751, -0.012991177, 0.03001524, -0.00046609566, 0.015615858, -0.02935411, -0.0009925193, 0.033796895, -0.019040504, -0.014901839, 0.009533474, -0.010121879, 0.026458368, -0.038054563, 0.009956597, -0.0030048296, -0.0019519823, 0.016872002, -0.001142926, -0.014941507, -0.02930122, 0.004611372, -0.029512782, 0.030887928, -0.0018015754, 0.010624337, -0.0044791466, -0.007993045, -0.0056790947, 0.0019602464, 0.011173073, 0.0023222142, -0.00022499033, 0.0024511344, 0.015443964, 0.018987615, -0.02349651, -0.008740121, 0.00029730127, -0.004750209, -0.017969476, -0.06442037, 0.006816236, 0.0019833858, 0.0063038613, -0.0054675336, -0.01161603, 0.032818425, -0.030094575, 0.009685534, -0.0012520123, -0.0013090346, 0.0085285595, 0.015959645, -0.0006574098, -0.00688896, -0.019133061, -0.0008057505, 0.009672312, 0.019913195, 0.008145104, -0.012290381, 0.0016139803, 0.026405476, 0.014875393, -0.002168502, 0.012792839, -0.011840814, 0.003464314, 0.0069682957, -0.0073781954, 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,
32 	}
33 
34 	vectorSearchStage := bson.D{
35 		{"$vectorSearch", bson.D{
36 			{"index", "vector_index"},
37 			{"path", "plot_embedding"},
38 			{"filter", bson.D{{
39 				"$and", bson.A{
40 					bson.D{{"year", bson.D{{"$gt", 1955}}}},
41 					bson.D{{"year", bson.D{{"$lt", 1975}}}},
42 				},
43 			}}},
44 			{"queryVector", queryVector},
45 			{"numCandidates", 150},
46 			{"limit", 10},
47 		}}}
48 
49 	projectStage := bson.D{
50 		{"$project", bson.D{
51 			{"_id", 0},
52 			{"plot", 1},
53 			{"title", 1},
54 			{"year", 1},
55 			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
56 		}}}
57 
58 	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
59 	if err != nil {
60 		log.Fatalf("failed to retrieve data from the server: %v", err)
61 	}
62 	// display the results
63 	type ProjectedMovieResult struct {
64 		Title string  `bson:"title"`
65 		Plot  string  `bson:"plot"`
66 		Year  int32   `bson:"year"`
67 		Score float64 `bson:"score"`
68 	}
69 
70 	var results []ProjectedMovieResult
71 	if err = cursor.All(ctx, &results); err != nil {
72 		log.Fatalf("failed to unmarshal retrieved docs to ProjectedMovieResult objects: %v", err)
73 	}
74 	for _, result := range results {
75 		fmt.Printf("Title: %v \nPlot: %v \nYear: %v \nScore: %v \n\n", result.Title, result.Plot, result.Year, result.Score)
76 	}
77 }

1 Title: Peter Pan
2 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 ...
3 Year: 1960
4 Score: 0.748110830783844
5 
6 Title: Chitty Chitty Bang Bang
7 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.
8 Year: 1968
9 Score: 0.7442465424537659
10 
11 Title: That Man from Rio
12 Plot: A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.
13 Year: 1964
14 Score: 0.7416020035743713
15 
16 Title: The Little Prince
17 Plot: A pilot, stranded in the desert, meets a little boy who is a prince on a planet.
18 Year: 1974
19 Score: 0.7378944158554077
20 
21 Title: The Red Balloon
22 Plot: A red balloon with a life of its own follows a little boy around the streets of Paris.
23 Year: 1956
24 Score: 0.7342712879180908
25 
26 Title: Willy Wonka & the Chocolate Factory
27 Plot: A poor boy wins the opportunity to tour the most eccentric and wonderful candy factory of all.
28 Year: 1971
29 Score: 0.7342107892036438
30 
31 Title: Bedknobs and Broomsticks
32 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.
33 Year: 1971
34 Score: 0.7339356541633606
35 
36 Title: Pastoral Hide and Seek
37 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.
38 Year: 1974
39 Score: 0.733299970626831
40 
41 Title: The Three Musketeers
42 Plot: A young swordsman comes to Paris and faces villains, romance, adventure and intrigue with three Musketeer friends.
43 Year: 1973
44 Score: 0.7331198453903198
45 
46 Title: Frosty
47 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.
48 Year: 1964
49 Score: 0.7318308353424072

팁

추가 필터 예시도 참조하세요.

_id 필드를 제외하고 plot 및 title 필드만 결과에 포함합니다.
결과의 각 문서에 대한 벡터 검색 점수를 보여주는 score 필드를 추가합니다.

1 import com.mongodb.client.MongoClient;
2 import com.mongodb.client.MongoClients;
3 import com.mongodb.client.MongoCollection;
4 import com.mongodb.client.MongoDatabase;
5 import com.mongodb.client.model.search.FieldSearchPath;
6 import org.bson.Document;
7 import org.bson.conversions.Bson;
8 
9 import java.util.List;
10 
11 import static com.mongodb.client.model.Aggregates.project;
12 import static com.mongodb.client.model.Aggregates.vectorSearch;
13 import static com.mongodb.client.model.Projections.fields;
14 import static com.mongodb.client.model.Projections.include;
15 import static com.mongodb.client.model.Projections.exclude;
16 import static com.mongodb.client.model.Projections.metaVectorSearchScore;
17 import static com.mongodb.client.model.search.SearchPath.fieldPath;
18 import static com.mongodb.client.model.search.VectorSearchOptions.approximateVectorSearchOptions;
19 import static java.util.Arrays.asList;
20 
21 public class BasicQuery {
22   public static void main( String[] args ) {
23     // specify connection
24     String uri = "<connection-string>";
25 
26     // establish connection and set namespace
27     try (MongoClient mongoClient = MongoClients.create(uri)) {
28       MongoDatabase database = mongoClient.getDatabase("sample_mflix");
29       MongoCollection<Document> collection = database.getCollection("embedded_movies");
30       
31 
32       // define $vectorSearch query options
33       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, 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34       String indexName = "vector_index";
35       FieldSearchPath fieldSearchPath = fieldPath("plot_embedding");
36       int limit = 10;
37       int numCandidates = 150;
38       
39       // define pipeline 
40       List<Bson> pipeline = asList(
41         vectorSearch(
42           fieldSearchPath,
43           queryVector,
44           indexName,
45           limit,
46           approximateVectorSearchOptions(numCandidates)),
47         project(
48           fields(exclude("_id"), include("title"), include("plot"),
49           metaVectorSearchScore("score"))));
50       
51       // run query and print results
52       collection.aggregate(pipeline)
53         .forEach(doc -> System.out.println(doc.toJson()));	
54     }
55   }
56 }

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}

_id 필드를 제외하고 결과에 plot, title 및 year 필드만 포함합니다.
결과에서 문서의 벡터 Atlas Search 점수를 표시하는 score 필드를 추가합니다.

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}

팁

추가 필터 예시도 참조하세요.

_id 필드를 제외하고 plot 및 title 필드만 결과에 포함합니다.
결과의 각 문서에 대한 벡터 검색 점수를 보여주는 score 필드를 추가합니다.

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}'

_id 필드를 제외하고 결과에 plot, title 및 year 필드만 포함합니다.
결과에서 문서의 벡터 Atlas Search 점수를 표시하는 score 필드를 추가합니다.

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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-0.001018138, -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 boy’s 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}';

팁

추가 필터 예시도 참조하세요.

_id 필드를 제외하고 plot 및 title 필드만 결과에 포함합니다.
결과의 각 문서에 대한 벡터 검색 점수를 보여주는 score 필드를 추가합니다.

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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0.042732596, -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}

_id 필드를 제외하고 결과에 plot, title 및 year 필드만 포함합니다.
결과에서 문서의 벡터 Atlas Search 점수를 표시하는 score 필드를 추가합니다.

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, 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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}

팁

추가 필터 예시도 참조하세요.

등가 최근접 이웃 예시

다음 쿼리는 $vectorSearch 단계를 사용하여 문자열 세계 대전에 대한 벡터 임베딩을 사용하여 plot_embedding 필드를 검색합니다. 정확히 일치하는 항목을 요청하고 결과를 10개 문서로 제한합니다. 또한 이 쿼리는 다음을 수행하기 위해 $project 단계를 지정합니다.

결과에서 _id 필드를 제외하고 plot, title, year 필드만 포함합니다.
결과에서 문서의 벡터 Atlas Search 점수를 표시하는 score 필드를 추가합니다.

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.

1 package main
2 
3 import (
4 	"context"
5 	"fmt"
6 	"log"
7 
8 	"go.mongodb.org/mongo-driver/bson"
9 	"go.mongodb.org/mongo-driver/mongo"
10 	"go.mongodb.org/mongo-driver/mongo/options"
11 )
12 
13 func main() {
14 	ctx := context.Background()
15 
16 	// Replace the placeholder with your Atlas connection string
17 	const uri = "<connection-string>"
18 
19 	// Connect to your Atlas cluster
20 	clientOptions := options.Client().ApplyURI(uri)
21 	client, err := mongo.Connect(ctx, clientOptions)
22 	if err != nil {
23 		log.Fatalf("failed to connect to the server: %v", err)
24 	}
25 	defer func() { _ = client.Disconnect(ctx) }()
26 
27 	// Set the namespace
28 	coll := client.Database("sample_mflix").Collection("embedded_movies")
29 
30 	queryVector := [1536]float64{
31 		-0.006954097, -0.009932499, -0.001311474, -0.021280076, -0.014608995, -0.008227668, -0.013274779, -0.0069271433, -0.009521453, -0.030943038, 0.017304381, 0.015094165, -0.010397454, 0.010943269, 0.012230316, 0.025943095, 0.02583528, 0.001368751, 0.009777515, -0.016024074, -0.013989056, 0.00685639, 0.030242238, -0.023881124, -0.011057823, -0.0056906347, -0.00055929273, -0.03199424, 0.0072168973, -0.023166848, 0.0033490178, -0.024069803, -0.023557678, -0.020862292, 0.007452744, -0.019002475, 0.007850314, -0.032856762, -0.012951332, 0.003005356, -0.003739849, 0.010053792, 0.019541552, 0.007702067, -0.035498243, -0.00918453, -0.0143529335, 0.000249955, -0.011866439, 0.019703276, 0.0076481593, 0.025161434, -0.015714103, -0.0076818517, -0.023180325, -0.0032883717, -0.02315337, 0.015188503, 0.031347346, -0.008739791, 0.01454161, 0.014824626, -0.025107525, 0.0012558816, -0.012803086, -0.013146748, -0.01652272, 0.01283004, -0.019352876, -0.010444623, 0.04706145, 0.030754361, 0.008820653, 0.011657547, 0.014878534, -0.010181823, 0.00041673204, -0.009103668, -0.0055255424, 0.00579845, 0.024110233, -0.020404076, -0.0066272817, -0.005299804, 0.019649368, 0.007729021, -0.0066845585, 0.025592696, 0.00575465, -0.014824626, 0.00033334352, -0.008591545, 0.004164372, 0.028085928, -0.020875769, -0.00448108, -0.009258653, 0.02535011, -0.0025538788, -0.059082873, -0.0074055744, 0.005950066, -0.014164257, -0.016185796, -0.015768012, -0.01309284, 0.0030222023, 0.0028436328, 0.0037095258, -0.0068462817, -0.010963485, 0.018988999, 0.010929792, -0.03967609, 0.016994413, -0.023503771, -0.0037903874, -0.012075332, -0.005923112, -0.01902943, 0.017978229, -0.005993866, 0.024015894, -0.017722167, 0.010875884, 0.0153637035, -0.04045775, -0.0016568204, -0.0074190516, 0.0011084777, 0.033018485, 0.021536138, 0.025794849, -0.019622413, -0.041724585, 0.014743765, -0.011111731, 0.0065666353, -0.019851523, -0.035174794, 0.007270805, 0.02698082, -0.010929792, -0.020148015, -0.009689915, 0.032182917, 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-0.039137013, 0.033099346, 0.0023129785, -0.011017392, -0.0032816331, -0.020848814,
32 	}
33 
34 	vectorSearchStage := bson.D{
35 		{"$vectorSearch", bson.D{
36 			{"index", "vector_index"},
37 			{"path", "plot_embedding"},
38 			{"queryVector", queryVector},
39 			{"exact", true},
40 			{"limit", 10},
41 		}}}
42 
43 	projectStage := bson.D{
44 		{"$project", bson.D{
45 			{"_id", 0},
46 			{"plot", 1},
47 			{"title", 1},
48 			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
49 		}}}
50 
51 	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
52 	if err != nil {
53 		log.Fatalf("failed to retrieve data from the server: %v", err)
54 	}
55 	// display the results
56 	type ProjectedMovieResult struct {
57 		Title string  `bson:"title"`
58 		Plot  string  `bson:"plot"`
59 		Score float64 `bson:"score"`
60 	}
61 
62 	var results []ProjectedMovieResult
63 	if err = cursor.All(ctx, &results); err != nil {
64 		log.Fatalf("failed to unmarshal retrieved docs to ProjectedMovieResult objects: %v", err)
65 	}
66 	for _, result := range results {
67 		fmt.Printf("Title: %v \nPlot: %v \nScore: %v \n\n", result.Title, result.Plot, result.Score)
68 	}
69 }

1 Title: Red Dawn
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 Score: 0.7700583338737488
4 
5 Title: Sands of Iwo Jima
6 Plot: A dramatization of the World War II Battle of Iwo Jima.
7 Score: 0.7581185102462769
8 
9 Title: White Tiger
10 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.
11 Score: 0.750884473323822
12 
13 Title: P-51 Dragon Fighter
14 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.
15 Score: 0.749922513961792
16 
17 Title: When Trumpets Fade
18 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.
19 Score: 0.7498313188552856
20 
21 Title: Battletruck
22 Plot: Post World War III futuristic tale of collapsed governments & bankrupt countries heralding a new lawless age.
23 Score: 0.7497193217277527
24 
25 Title: Robot Jox
26 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....
27 Score: 0.7495121955871582
28 
29 Title: The Enemy Below
30 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.
31 Score: 0.746050238609314
32 
33 Title: Saints and Soldiers
34 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.
35 Score: 0.7435222864151001
36 
37 Title: Saints and Soldiers
38 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.
39 Score: 0.743497371673584

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 }

돌아가기

색인 생성 및 관리

벡터 양자화

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	]

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" : 0.78926712274551392 }
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" : 0.78436046838760376 }
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" : 0.78010666370391846 }
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" : 0.77891707420349121 }
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" : 0.77716124057769775 }
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" : 0.77308857440948486 }
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" : 0.77123808860778809 }
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" : 0.76699239015579224 }
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" : 0.76493728160858154 }
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" : 0.76407861709594727 }

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	Title: Thrill Seekers
2	Plot: A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.
3	Score: 0.7892671227455139
4
5	Title: About Time
6	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.
7	Score: 0.7843604683876038
8
9	Title: The Time Machine
10	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.
11	Score: 0.7801066637039185
12
13	Title: Crusade in Jeans
14	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...
15	Score: 0.7789170742034912
16
17	Title: Timecop
18	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.
19	Score: 0.7771612405776978
20
21	Title: A.P.E.X.
22	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...
23	Score: 0.7730885744094849
24
25	Title: Men in Black 3
26	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.
27	Score: 0.7712380886077881
28
29	Title: Tomorrowland
30	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.
31	Score: 0.7669923901557922
32
33	Title: Love Story 2050
34	Plot: With the help of his uncle, a man travels to the future to try and bring his girlfriend back to life.
35	Score: 0.7649372816085815
36
37	Title: The Portal
38	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 ...
39	Score: 0.7640786170959473

1	Title: Peter Pan
2	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 ...
3	Year: 1960
4	Score: 0.748110830783844
5
6	Title: Chitty Chitty Bang Bang
7	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.
8	Year: 1968
9	Score: 0.7442465424537659
10
11	Title: That Man from Rio
12	Plot: A young man comes to the rescue of his girlfriend abducted by thieves and brought to Rio. An extravagant adventure ensues.
13	Year: 1964
14	Score: 0.7416020035743713
15
16	Title: The Little Prince
17	Plot: A pilot, stranded in the desert, meets a little boy who is a prince on a planet.
18	Year: 1974
19	Score: 0.7378944158554077
20
21	Title: The Red Balloon
22	Plot: A red balloon with a life of its own follows a little boy around the streets of Paris.
23	Year: 1956
24	Score: 0.7342712879180908
25
26	Title: Willy Wonka & the Chocolate Factory
27	Plot: A poor boy wins the opportunity to tour the most eccentric and wonderful candy factory of all.
28	Year: 1971
29	Score: 0.7342107892036438
30
31	Title: Bedknobs and Broomsticks
32	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.
33	Year: 1971
34	Score: 0.7339356541633606
35
36	Title: Pastoral Hide and Seek
37	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.
38	Year: 1974
39	Score: 0.733299970626831
40
41	Title: The Three Musketeers
42	Plot: A young swordsman comes to Paris and faces villains, romance, adventure and intrigue with three Musketeer friends.
43	Year: 1973
44	Score: 0.7331198453903198
45
46	Title: Frosty
47	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.
48	Year: 1964
49	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 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 boy’s 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	Title: Red Dawn
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	Score: 0.7700583338737488
4
5	Title: Sands of Iwo Jima
6	Plot: A dramatization of the World War II Battle of Iwo Jima.
7	Score: 0.7581185102462769
8
9	Title: White Tiger
10	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.
11	Score: 0.750884473323822
12
13	Title: P-51 Dragon Fighter
14	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.
15	Score: 0.749922513961792
16
17	Title: When Trumpets Fade
18	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.
19	Score: 0.7498313188552856
20
21	Title: Battletruck
22	Plot: Post World War III futuristic tale of collapsed governments & bankrupt countries heralding a new lawless age.
23	Score: 0.7497193217277527
24
25	Title: Robot Jox
26	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....
27	Score: 0.7495121955871582
28
29	Title: The Enemy Below
30	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.
31	Score: 0.746050238609314
32
33	Title: Saints and Soldiers
34	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.
35	Score: 0.7435222864151001
36
37	Title: Saints and Soldiers
38	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.
39	Score: 0.743497371673584

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	}