네이티브 순위 재지정 시작하기

네이티브 재순위 재지정을 활성화합니다.

1. Native Reranking 섹션까지 아래로 스크롤하여 Enable Native Reranking 를 On로 전환합니다.

2. Confirm를 클릭합니다.

Native Reranking 쿼리 실행합니다.

다음 쿼리 단계를 사용하여 $rerank 무술에 대한 쿼리 와 가장 관련성이 높은 상위 10개 영화를 찾습니다.

1. sample_mflix 데이터베이스 로 전환합니다.

   use sample_mflix

2. Native Reranking 쿼리 실행합니다.

   다음 쿼리 단계를 사용하여 모델을 $rerank 사용하는 무술에 대한 쿼리 와 가장 관련성이 높은 영화를 rerank-2.5 반환합니다. 이 쿼리 무술 교육 및 토너먼트에 대한 영화의 우선 순위를 지정합니다. 다음 파이프라인 단계를 사용합니다.

   파이프라인 단계	설명
   $match	문자열 유형의 fullplot 필드 있는 문서만 포함하도록 문서를 필터링합니다.
   $sort	결정론적 순서를 보장하기 위해 released 필드 의 내림차순으로 문서를 정렬합니다.
   $rerank	rerank-2.5 reranker 모델을 사용하여 쿼리 와 일치하도록 문서를 다시 정렬합니다. numDocsToRerank 매개변수는 순위 재지정을 위해 고려할 최대 문서 수를 지정합니다. path 매개변수는 순위 재지정에 사용할 필드 지정합니다.
   $addFields	문서에 rerankScore 이라는 필드 추가합니다.
   $limit	출력을 10 문서로 제한합니다.
   $project	결과의 문서에서 title, fullplot, rerankScore 를 제외한 모든 필드를 제외합니다.

   1
   db.embedded_movies.aggregate([
   2
     {
   3
       "$match": {
   4
         "fullplot": { "$exists": true, "$type": "string" }
   5
       }
   6
     },
   7
     {
   8
           "$sort": { "released": -1 }
   9
     },
   10
     {
   11
       "$rerank": {
   12
         "model": "rerank-2.5",
   13
         "query": {
   14
           "text": "martial arts; prioritize films about martial arts training and tournaments"
   15
         },
   16
         "path": "fullplot",
   17
         "numDocsToRerank": 100
   18
       }
   19
     },
   20
     {
   21
       "$addFields": {
   22
         "rerankScore": { "$meta": "score" }
   23
       }
   24
     },
   25
     { "$limit": 10 },
   26
     {
   27
       "$project": {
   28
         "_id": 0,
   29
         "title": 1,
   30
         "fullplot": 1,
   31
         "rerankScore": 1
   32
       }
   33
     }
   34
   ])

   출력 보기

   [
     {
       title: 'Ti mene nosis',
       fullplot: 'No treason, no surrender.',
       rerankScore: 0.5986876487731934
     },
     {
       title: 'The Real Miyagi',
       fullplot: 'The life of the greatest karate master of a generation.',
       rerankScore: 0.5986876487731934
     },
     {
       title: 'Peter Pan Live!',
       fullplot: 'A live telecast of the beloved J. M. Barrie story.',
       rerankScore: 0.5986876487731934
     },
     {
       title: "Why Don't You Play in Hell?",
       fullplot: 'A renegade film crew becomes embroiled with a yakuza clan feud.',
       rerankScore: 0.5986876487731934
     },
     {
       fullplot: "A French police magistrate spends years trying to take down one of the country's most powerful drug rings.",
       title: 'The Connection',
       rerankScore: 0.5986876487731934
     },
     {
       title: 'Anomalisa',
       fullplot: "Charlie Kaufman's first stop-motion film about a man crippled by the mundanity of his life.",
       rerankScore: 0.5986876487731934
     },
     {
       title: 'The Master Plan',
       fullplot: 'Charles Ingvar Jènsson gathers three criminals to take vengeance upon the people who killed his uncle.',
       rerankScore: 0.5986876487731934
     },
     {
       title: 'Redeemer',
       fullplot: 'A former hit-man for a drug cartel becomes a vigilante to pay for his sins and find redemption.',
       rerankScore: 0.5986876487731934
     },
     {
       title: 'Rise of the Legend',
       fullplot: 'An orphan, whose father has been killed by dark power, attempts to bring justice back to the town.',
       rerankScore: 0.5986876487731934
     },
     {
       title: 'Darkness on the Edge of Town',
       fullplot: 'A troubled teenage sharpshooter decides to avenge the death of her estranged sister after she is found murdered in a public bathroom.',
       rerankScore: 0.5986876487731934
     }
   ]

및 를 사용하여 네이티브 재순위 쿼리를 실행 위한 인덱스를 $vectorSearch $search 생성합니다.

MongoDB,, 또는 $rerank $vectorSearch$search$rankFusion단계 이후에 $scoreFusion 를 사용할 것을 권장합니다. 이렇게 하려면 컬렉션 에 MongoDB Vector Search 및 MongoDB Search 인덱스 생성하여 $vectorSearch 및 $search 단계를 실행 .

이 빠른 시작에서 및 단계를 $vectorSearch 사용하는 $search 샘플 쿼리를 시도하려면 컬렉션 에 MongoDB Vector Search 및 MongoDB Search 인덱스 만들어야 합니다.

Native Reranking을 사용하여 $vectorSearch 및 쿼리를 실행 준비를 합니다.$search

1. mongosh을(를) 사용하여 클러스터에 연결합니다.

2. 쿼리에 사용할 임베딩을 저장 embeddings.js 파일 만듭니다.

3. 다음 임베딩을 복사하여 파일 에 붙여넣습니다.

   "격투기"라는 쿼리 텀 에 대한 임베딩입니다.

   MARTIAL_ARTS_EMBEDDINGS=[0.02218237891793251, -0.007462590467184782, -0.01691064052283764, 0.0072914301417768, -0.011365045793354511, -0.045186325907707214, -6.846413452876732e-05, -0.0034916705917567015, 0.009995763190090656, 0.025742514058947563, -0.002481824718415737, -0.0029268416110426188, 0.0023106643930077553, -0.04135233536362648, -0.019717669114470482, -0.024510158225893974, -0.008729176595807076, -0.001048356993123889, 0.01033808384090662, 0.008900336921215057, -0.00797607097774744, 0.03258892521262169, 0.00766798248514533, 0.010406548157334328, 0.04107847809791565, -0.020128455013036728, -0.03833991289138794, 0.018348386511206627, -0.01533596497029066, 0.042995475232601166, 0.020813096314668655, -0.0016260230913758278, -0.004364588297903538, -0.011159653775393963, -0.03436899557709694, 0.010817333124577999, -0.0008900337270461023, -0.012118151411414146, -0.0156782865524292, 0.04381704330444336, -0.013350505381822586, 0.003851107321679592, -0.00010537057823967189, 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4. sample_mflix 데이터베이스 로 전환합니다.

   use sample_mflix

5. 임베딩을 mongosh 에 로드합니다.

   load('embeddings.js');

Native Reranking으로 및 를 실행합니다.$vectorSearch $search

다음 쿼리는 $rerank 및 $vectorSearch 단계 뒤에 $search 단계를 사용하여 무술에 대한 쿼리 와 가장 관련성이 높은 상위 10개 영화를 찾습니다.

1
db.embedded_movies.aggregate([
2
  {
3
    "$vectorSearch": {
4
      "index": "vector_index",
5
      "path": "plot_embedding_voyage_4_large",
6
      "queryVector": MARTIAL_ARTS_EMBEDDINGS,
7
      "numCandidates": 100,
8
      "limit": 100
9
    }
10
  },
11
  { 
12
    "$project": {
13
      "_id": 0,
14
      "title": 1,
15
      "fullplot": 1,
16
      "vectorScore": { "$meta": "vectorSearchScore" }
17
    }
18
  },
19
  {
20
    "$match": {
21
      "fullplot": { "$exists": true, "$type": "string" }
22
    }
23
  },
24
  {
25
    "$rerank": {
26
      "model": "rerank-2.5",
27
      "query": {
28
        "text": "martial arts; focus on combat styles and fight choreography"
29
      },
30
      "path": "fullplot",
31
      "numDocsToRerank": 100
32
    }
33
  },
34
  {
35
    "$addFields": {
36
      "rerankScore": { "$meta": "score" }
37
    }
38
  },
39
  { "$limit": 10 },
40
  {
41
    "$project": {
42
      "_id": 0,
43
      "title": 1,
44
      "fullplot": 1,
45
      "vectorScore": 1,
46
      "rerankScore": 1
47
    }
48
  }
49
])

[
  {
    title: 'The Real Miyagi',
    fullplot: 'The life of the greatest karate master of a generation.',
    vectorScore: 0.7579228281974792,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'Kung Fu Killer',
    fullplot: 'A Caucasian monk in Shanghai infiltrates the underworld to find the killers of his spiritual female Grandmaster.',
    vectorScore: 0.7047170996665955,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'Dragon Tiger Gate',
    fullplot: 'Three young martial arts masters emerge from the back streets of Hong Kong to help the powerless fight injustice.',
    vectorScore: 0.7224205732345581,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'Pistol Opera',
    fullplot: 'The No. 3 assassin of Japan is given the chance to usurp No. 1 and take their place.',
    vectorScore: 0.6872181296348572,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'Once Upon a Time in Shanghai',
    fullplot: 'A laborer moves to Shanghai in the hope of becoming rich. But ends up using his kung fu skills to survive.',
    vectorScore: 0.6834211349487305,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'Yasmine',
    fullplot: "A young woman who lives with her strict father works to become a a champion at Silat, Brunei's version of kung fu.",
    vectorScore: 0.7219811677932739,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'Best of the Best',
    fullplot: 'Team USA gets rid of personal ghosts while fighting Team Korea in Taekwondo championship. "Adversity overcome" formula with excellent fighting scenes.',
    vectorScore: 0.6988193988800049,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'Dragon Strike',
    fullplot: 'The adventures of a restless martial arts student called Dragon, who, while constantly pursuing a girl, gets involved in the affairs of a gang of thieves.',
    vectorScore: 0.7163552641868591,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'Legendary Weapons of China',
    fullplot: "A band of killers from an ailing kung fu and magic society are sent on a manhunt for a former member of the society, whose bad mouthing threatens it's existence.",
    vectorScore: 0.7019355893135071,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'The Touch',
    fullplot: 'A sister and brother, the last heirs of a family of acrobats, are called upon by a Buddhist monk sect to retrieve an artifact that their ancestors have protected throughout the ages.',
    vectorScore: 0.6897575855255127,
    rerankScore: 0.5986876487731934
  }
]

1
db.embedded_movies.aggregate([
2
  {
3
    "$search": {
4
      "index": "search_index",
5
      "text": {
6
        "query": "martial arts",
7
        "path": "fullplot"
8
      }
9
    }
10
  },
11
  {
12
    "$limit": 100
13
  },
14
  { 
15
    "$project": {
16
      "_id": 0,
17
      "title": 1,
18
      "fullplot": 1,
19
      "searchScore": { "$meta": "searchScore" }
20
    }
21
  },
22
  {
23
    "$match": {
24
      "fullplot": { "$exists": true, "$type": "string" }
25
    }
26
  },
27
  {
28
    "$rerank": {
29
      "model": "rerank-2.5",
30
      "query": {
31
        "text": "martial arts; prioritize movie plots about martial arts competition and training"
32
      },
33
      "path": "fullplot",
34
      "numDocsToRerank": 100
35
    }
36
  },
37
  {
38
    "$addFields": {
39
      "rerankScore": { "$meta": "score" }
40
    }
41
  },
42
  { "$limit": 10 },
43
  {
44
    "$project": {
45
      "_id": 0,
46
      "title": 1,
47
      "fullplot": 1,
48
      "searchScore": 1,
49
      "rerankScore": 1
50
    }
51
  }
52
])

[
  {
    title: 'Dragon Tiger Gate',
    fullplot: 'Three young martial arts masters emerge from the back streets of Hong Kong to help the powerless fight injustice.',
    searchScore: 5.30598258972168,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'Dragon Strike',
    fullplot: 'The adventures of a restless martial arts student called Dragon, who, while constantly pursuing a girl, gets involved in the affairs of a gang of thieves.',
    searchScore: 5.074832439422607,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'Here Comes the Boom',
    fullplot: 'A high school biology teacher looks to become a successful mixed-martial arts fighter in an effort to raise money to prevent extra-curricular activities from being axed at his cash-strapped school.',
    searchScore: 4.862981796264648,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'Here Comes the Boom',
    fullplot: 'A high school biology teacher looks to become a successful mixed-martial arts fighter in an effort to raise money to prevent extra-curricular activities from being axed at his cash-strapped school.',
    searchScore: 4.862981796264648,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'Vampire Effect',
    fullplot: "It's a high-kicking battle on the dark side when an ace vampire slayer and his beautiful sidekicks wage the ultimate martial-arts showdown with one of the most dangerous of the undead.",
    searchScore: 4.862981796264648,
    rerankScore: 0.5986876487731934
  },
  {
    fullplot: 'FBI agent Malcolm Turner and his son, Trent, go undercover at an all-girls performing arts school after Trent witnesses a murder. Posing as Big Momma and Charmaine, they must find the murderer before he finds them.',
    title: 'Big Mommas: Like Father, Like Son',
    searchScore: 2.3932719230651855,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'The Last Dragon',
    fullplot: 'In New York City, a young man searches for the "master" to obtain the final level of martial arts mastery known as the glow. Along the way, he must fight an evil martial arts expert and rescue a beautiful singer from an obsessed music promoter.',
    searchScore: 5.777412414550781,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'SPL: Kill Zone',
    fullplot: 'Chan, an articulate senior detective nearing the end of his career, is taking care of the daughter of a witness killed by ruthless crime lord Po. Martial arts expert Ma is set to take over as head of the crime unit, replacing Chan who wants an early retirement.',
    searchScore: 4.463685035705566,
    rerankScore: 0.5986876487731934
  },
  {
    title: 'Fighter in the Wind',
    fullplot: 'A young Korean man arrives in Japan near the end of World War II with hopes of being a fighter pilot, but ends up on the streets battling racism, organized crime, occupying American servicemen, and his own fear of failure as a martial artist. (Korean with English subtitles)',
    searchScore: 2.2145204544067383,
    rerankScore: 0.5986876487731934
  },
  {
    title: "Bruce Lee: A Warrior's Journey",
    fullplot: "Legendary martial artist Bruce Lee is the subject of this thoughtful documentary by Lee aficionado John Little. Using interviews, behind-the-scenes footage and action sequences from Lee's last (unfinished) film, Game of Death, Little paints a textured, complex portrait of the world's most famous action hero.",
    searchScore: 2.2390332221984863,
    rerankScore: 0.5986876487731934
  }
]