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ハイブリッド検索

MongoDB ベクトル検索とMongoDB Search を使用したハイブリッド検索の実行

このチュートリアルでは、同一のクエリ条件についてフルテキスト検索とセマンティック検索を集計するハイブリッド検索について解説します。全文検索はクエリ用語の完全一致を見つけるのに効果的ですが、セマンティック検索には、完全に同じクエリ用語ドキュメントに含まれていなくても、意味的に類似したドキュメントを識別できるという追加の利点があります。同義語や文脈的に類似した一致も、両方の検索方法の結果に確実に含めることができます。

逆に、データセットで使用されるのと同じコンテキストで埋め込みモデルの訓練で考慮されることが予想されない場合は、ベクトル検索に次のことがメリットをもたらす可能性があります。全文検索と組み合わせて使用します。

クエリごとに、各検索方法の重みを設定することもできます。 全文検索結果とセマンティック検索結果がクエリに最も関連し、適切であるかどうかに基づいて、クエリごとのその検索方法の重みを増やすことができます。

チュートリアルについて

このチュートリアルでは、統合検索結果を得るために、映画の詳細を含む sample_mflix.embedded_moviesコレクションに対してMongoDB ベクトル検索とMongoDB Search クエリを組み合わせたハイブリッド検索を実行する方法を説明します。具体的には、このチュートリアルでは次の手順について説明します。

  1. MongoDB ベクトル検索インデックスを plot_embedding_voyage_3_largeフィールドに作成します。このフィールドには、映画のプロットの概要を表すベクトル埋め込みが含まれています。

  2. sample_mflix.embedded_moviesコレクションの titleフィールドにMongoDB Searchインデックスを作成します。このフィールドには、映画名がテキスト string として含まれています。

  3. 相互ランク統合を使用するクエリを実行して、 plot_embedding_voyage_3_largeフィールドに対する $vectorSearchクエリとtitleフィールドに対する$searchクエリの結果を組み合わせます。

前提条件

始める前に、一般的な前提条件を完了してください。MongoDB ベクトル検索とMongoDB Search インデックスを作成するには、プロジェクトに対する Project Data Access Admin アクセス権が必要です。

MongoDB ベクトル検索とMongoDB Search インデックスの作成

このセクションでは、 sample_mflix.embedded_moviesコレクションのフィールドに次のインデックスを作成する方法について説明します。

  • plot_embedding_voyage_3_largeフィールドのMongoDB ベクトル検索インデックス（そのフィールドに対してベクトルクエリを実行中ため）。

  • フィールドに対して全文検索を実行中ための titleフィールドのMongoDB Searchインデックス。

手順

1

mongosh を使用して Atlas クラスターに接続します。

詳細については、「mongosh経由でクラスターに接続する」を参照してください。

2

インデックスを作成するコレクションを含むデータベースに切り替えます。

use sample_mflix
switched to db sample_mflix
3

MongoDB ベクトル検索インデックスを定義します。

次のコマンドを実行します。このインデックス定義は、コレクションをクエリするときに、plot_embedding_voyage_3_largeフィールドをMongoDB ベクトル検索フィールドとしてインデックス化します。

1db.embedded_movies.createSearchIndex(
2  "hybrid-vector-search", 
3  "vectorSearch", 
4  {
5    "fields": [
6      {
7        "type": "vector",
8        "path": "plot_embedding_voyage_3_large",
9        "numDimensions": 2048,
10        "similarity": "dotProduct"
11      }
12    ]
13  }
14);
4

MongoDB Searchインデックスを定義します。

次のインデックス定義は、コレクション内のすべての動的にインデックス可能なフィールドを自動的にインデックス化します。

1db.embedded_movies.createSearchIndex(
2  "hybrid-full-text-search", 
3  "search", 
4  {
5    "mappings": {
6      "dynamic": true
7    }
8  }
9);

を使用して、セマンティック検索と全文検索クエリの組み合わせを実行 $rankFusion

このセクションでは、sample_mflix.embedded_movies plot_embedding_voyage_3_largetitle$vectorSearch$search$rankFusionステージ内で と パイプラインステージを使用して を再ソートすることで、 フィールドと フィールドの開始点を表す コレクション内のデータをクエリする方法が示されます。結果のドキュメント。$rankFusion ステージでは、両方の検索に表示されるドキュメントが、結合された結果の上部に表示されるようになります。

手順

1

クエリで使用する埋め込みを設定します。

  1. query-embeddings.jsという名前のファイルを作成します。

  2. 次の埋め込みをコピーして、ファイルに貼り付けます。

    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  3. ファイルを保存して閉じます。

2

mongosh を使用してクラスターに接続します。

ターミナルウィンドウで mongosh を開き、クラスターに接続します。接続の詳細な手順については、 mongosh経由でクラスターに接続する を参照してください。

3

sample_mflix データベースを使用します。

mongoshプロンプトで次のコマンドを実行します。

use sample_mflix
switched to db sample_mflix
4

クエリで使用する埋め込みをロードします。

<path-to-file> を embeddings.js ファイルへの絶対パスに置き換えた後、次のコマンドを実行して埋め込みをロードしてください。

load('/<path-to-file>/embeddings.js');

埋め込みが正常にロードされたことを確認するには、次のコマンドを実行します。

STAR_WARS_EMBEDDING.length
2048
5

embedded_moviesコレクションに対して次のMongoDB Search クエリを実行します。

1db.embedded_movies.aggregate([
2  {
3    $rankFusion: {
4      input: {
5        pipelines: {
6          vectorPipeline: [
7            {
8              "$vectorSearch": {
9                "index": "hybrid-vector-search",
10                "path": "plot_embedding_voyage_3_large",
11                "queryVector": STAR_WARS_EMBEDDING,
12                "numCandidates": 100,
13                "limit": 20
14              }
15            }
16          ],
17          fullTextPipeline: [
18            {
19              "$search": {
20                "index": "hybrid-full-text-search",
21                "phrase": {
22                  "query": "star wars",
23                  "path": "title"
24                }
25              }
26            },
27            { "$limit": 20 }
28          ]
29        }
30      },
31      combination: {
32        weights: {
33          vectorPipeline: 0.5,
34          fullTextPipeline: 0.5
35        }
36      },
37      "scoreDetails": true
38    }
39  },
40  {
41    "$project": {
42      _id: 1,
43      title: 1,
44      plot: 1,
45      scoreDetails: {"$meta": "scoreDetails"}
46    }
47  },
48  {
49    "$limit": 10
50  }
51]);
[
  {
    _id: ObjectId('573a1397f29313caabce68f6'),
    plot: "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.",
    title: 'Star Wars: Episode IV - A New Hope',
    scoreDetails: {
      value: 0.01626123744050767,
      description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:',
      details: [
        {
          inputPipelineName: 'fullTextPipeline',
          rank: 2,
          weight: 0.5,
          value: 2.9571781158447266,
          details: []
        },
        {
          inputPipelineName: 'vectorPipeline',
          rank: 1,
          weight: 0.5,
          value: 0.7987099885940552,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a139af29313caabcf0f5f'),
    plot: 'Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.',
    title: 'Star Wars: Episode I - The Phantom Menace',
    scoreDetails: {
      value: 0.015527202696196438,
      description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:',
      details: [
        {
          inputPipelineName: 'fullTextPipeline',
          rank: 2,
          weight: 0.5,
          value: 2.9571781158447266,
          details: []
        },
        {
          inputPipelineName: 'vectorPipeline',
          rank: 7,
          weight: 0.5,
          value: 0.7771433591842651,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a1397f29313caabce77d9'),
    plot: 'After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.',
    title: 'Star Wars: Episode V - The Empire Strikes Back',
    scoreDetails: {
      value: 0.015504807692307693,
      description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:',
      details: [
        {
          inputPipelineName: 'fullTextPipeline',
          rank: 4,
          weight: 0.5,
          value: 2.712062358856201,
          details: []
        },
        {
          inputPipelineName: 'vectorPipeline',
          rank: 5,
          weight: 0.5,
          value: 0.7810181975364685,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a1397f29313caabce8cdb'),
    plot: 'After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.',
    title: 'Star Wars: Episode VI - Return of the Jedi',
    scoreDetails: {
      value: 0.015388257575757576,
      description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:',
      details: [
        {
          inputPipelineName: 'fullTextPipeline',
          rank: 4,
          weight: 0.5,
          value: 2.712062358856201,
          details: []
        },
        {
          inputPipelineName: 'vectorPipeline',
          rank: 6,
          weight: 0.5,
          value: 0.7782549858093262,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a13c0f29313caabd62f62'),
    plot: 'Anakin Skywalker and Ahsoka Tano must rescue the kidnapped son of Jabba the Hutt, but political intrigue complicates their mission.',
    title: 'Star Wars: The Clone Wars',
    scoreDetails: {
      value: 0.015141165755919854,
      description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:',
      details: [
        {
          inputPipelineName: 'fullTextPipeline',
          rank: 1,
          weight: 0.5,
          value: 3.609658718109131,
          details: []
        },
        {
          inputPipelineName: 'vectorPipeline',
          rank: 12,
          weight: 0.5,
          value: 0.7561323642730713,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a139af29313caabcf124d'),
    plot: 'As the Clone Wars near an end, the Sith Lord Darth Sidious steps out of the shadows, at which time Anakin succumbs to his emotions, becoming Darth Vader and putting his relationships with Obi-Wan and Padme at risk.',
    title: 'Star Wars: Episode III - Revenge of the Sith',
    scoreDetails: {
      value: 0.014854753521126762,
      description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:',
      details: [
        {
          inputPipelineName: 'fullTextPipeline',
          rank: 4,
          weight: 0.5,
          value: 2.712062358856201,
          details: []
        },
        {
          inputPipelineName: 'vectorPipeline',
          rank: 11,
          weight: 0.5,
          value: 0.756283700466156,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a139af29313caabcf1258'),
    plot: 'Ten years after initially meeting, Anakin Skywalker shares a forbidden romance with Padmè, while Obi-Wan investigates an assassination attempt on the Senator and discovers a secret clone army crafted for the Jedi.',
    title: 'Star Wars: Episode II - Attack of the Clones',
    scoreDetails: {
      value: 0.014391447368421052,
      description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:',
      details: [
        {
          inputPipelineName: 'fullTextPipeline',
          rank: 4,
          weight: 0.5,
          value: 2.712062358856201,
          details: []
        },
        {
          inputPipelineName: 'vectorPipeline',
          rank: 16,
          weight: 0.5,
          value: 0.7400004267692566,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a1398f29313caabce9091'),
    plot: "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.",
    title: 'Dune',
    scoreDetails: {
      value: 0.008064516129032258,
      description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:',
      details: [
        { inputPipelineName: 'fullTextPipeline', rank: 0, weight: 0.5 },
        {
          inputPipelineName: 'vectorPipeline',
          rank: 2,
          weight: 0.5,
          value: 0.7947750091552734,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a1397f29313caabce6f53'),
    plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...',
    title: 'Message from Space',
    scoreDetails: {
      value: 0.007936507936507936,
      description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:',
      details: [
        { inputPipelineName: 'fullTextPipeline', rank: 0, weight: 0.5 },
        {
          inputPipelineName: 'vectorPipeline',
          rank: 3,
          weight: 0.5,
          value: 0.7913960218429565,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a139df29313caabcfa90b'),
    plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...',
    title: 'Message from Space',
    scoreDetails: {
      value: 0.007936507936507936,
      description: 'value output by reciprocal rank fusion algorithm, computed as sum of (weight * (1 / (60 + rank))) across input pipelines from which this document is output, from:',
      details: [
        { inputPipelineName: 'fullTextPipeline', rank: 0, weight: 0.5 },
        {
          inputPipelineName: 'vectorPipeline',
          rank: 3,
          weight: 0.5,
          value: 0.7913960218429565,
          details: []
        }
      ]
    }
  }
]

クエリについて

サンプル クエリは、セマンティック検索と全文検索からソートされた検索結果を検索し、結果配列内のドキュメントの位置に基づいて結果内のドキュメントに逆数ランク スコアを割り当てます。 逆ランクスコアは、次の式を使用して計算されます。

1.0/{document position in the results + constant value}

クエリは次に、各ドキュメントの両方の検索からスコアを加算し、組み合わせたスコアに基づいてドキュメントをランク付けし、ソートして、単独の結果を返します。定数の値は常に 60 です。

クエリの重み付け

サンプルクエリは、パイプラインの最終スコアへのランク寄与に影響を与えるために、次の重みをパイプラインに定義します。

  • vectorPipeline = 0.5

  • fullTextPipeline = 0.5

重みを調整して、特定の検索により重要性を持たせることができます。数値が小さいほど重み付けは大きくなることにご注意ください。

重み付けされた逆ランクスコアは、次の式を使用して計算されます。

weight x reciprocal rank

scoreDetails.details.value は、 Reciprocal Rank Fusionを使用して重み付けおよび結合される前に、そのパイプラインの生スコアを示します。scoreDetails.value は重み付けされた逆数順位のスコアを示します。

クエリ ステージ

サンプルクエリは、$rankFusion ステージを使用してセマンティッククエリとフルテキストクエリを個別に実行し、その後、入力クエリの結果を重複排除して、最終的なランクを付けた結果のセットに統合します。入力パイプラインに現れるランクとパイプラインの重みに基づいて、ランク付けされたドキュメントのセットを返します。具体的には、このステージは次の入力パイプラインを受け取ります。

vectorPipeline

このパイプラインには$vectorSearchクエリが含まれています。plot_embedding_voyage_3_large フィールドで、クエリのqueryVector フィールドにベクトル埋め込みとして指定されたstring「star wars」を検索します。クエリでは、Voyage AIのvoyage-3-large埋め込みモデルが使用されます。このモデルはplot_embedding_voyage_3_largeフィールドの埋め込みに使用されるのと同じモデルです。クエリは、最大 100 件の最近傍を検索し、結果を 20 件のドキュメントのみに制限します。この段階では、セマンティック検索の結果から並べ替えられたドキュメントを返します。

fullTextPipeline

このパイプラインには、以下のステージが含まれています。

  • $search を使用して、title フィールドに star wars という用語を含む映画を検索します。この段階では、全文検索の結果からソートされたドキュメントが返されます。

  • $limitの出力を$searchステージにおいて20件の結果のみに制限します。

サンプル クエリでは、次のステージを使用してセマンティック検索とテキスト検索の結果を組み合わせて、結果内のドキュメントの単一のランク付けされたリストを返します。

$project

結果には次のフィールドのみが含まれます。

  • _id

  • title

  • plot

  • scoreDetails

$limit

出力を10の結果のみに制限します。

を使用して、セマンティック検索と全文検索クエリの組み合わせを実行 $scoreFusion

このセクションでは、sample_mflix.embedded_movies plot_embedding_voyage_3_largetitle$vectorSearch$search$scoreFusionステージ内で と パイプラインステージを使用して を再ソートすることで、 フィールドと フィールドの開始点を表す コレクション内のデータをクエリする方法が示されます。合計スコアに基づいて、結果内のドキュメントを検索します。$scoreFusion ステージでは、数学式を使用してドキュメントのスコアを組み合わせ、結果内のドキュメントの位置に影響を与えます。

手順

1

クエリで使用する埋め込みを設定します。

  1. query-embeddings.jsという名前のファイルを作成します。

  2. 次の埋め込みをコピーして、ファイルに貼り付けます。

    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  3. ファイルを保存して閉じます。

2

mongosh を使用してクラスターに接続します。

ターミナルウィンドウで mongosh を開き、クラスターに接続します。接続の詳細な手順については、 mongosh経由でクラスターに接続する を参照してください。

3

sample_mflix データベースを使用します。

mongoshプロンプトで次のコマンドを実行します。

use sample_mflix
switched to db sample_mflix
4

クエリで使用する埋め込みをロードします。

<path-to-file> を embeddings.js ファイルへの絶対パスに置き換えた後、次のコマンドを実行して埋め込みをロードしてください。

load('/<path-to-file>/embeddings.js');

埋め込みが正常にロードされたことを確認するには、次のコマンドを実行します。

STAR_WARS_EMBEDDING.length
2048
5

embedded_moviesコレクションに対して次のMongoDB Search クエリを実行します。

1db.embedded_movies.aggregate( [
2   {
3      $scoreFusion: {
4         input: {
5            pipelines: {
6               searchOne: [
7                  {
8                     "$vectorSearch": {
9                        "index": "hybrid-vector-search",
10                        "path": "plot_embedding_voyage_3_large",
11                        "queryVector": STAR_WARS_EMBEDDING,
12                        "numCandidates": 100,
13                        "limit": 20
14                     }
15                  }
16               ],
17               searchTwo: [
18                  {
19                     "$search": {
20                        "index": "hybrid-full-text-search",
21                        "text": {
22                           "query": "star wars",
23                           "path": "title"
24                        }
25                     }
26                  },
27               ]
28            },
29            normalization: "sigmoid"
30         },
31         combination: {
32            method: "expression",
33            expression: {
34               $sum: [
35                 {$multiply: [ "$$searchOne", 10]}, "$$searchTwo"
36               ]
37            }
38         },
39         "scoreDetails": true
40      }
41   },
42   {
43      "$project": {
44         _id: 1,
45         title: 1,
46         plot: 1,
47         scoreDetails: {"$meta": "scoreDetails"}
48      }
49   },
50   { $limit: 10 }
51] )
[
  {
    _id: ObjectId('573a1397f29313caabce68f6'),
    plot: "Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a wookiee and two droids to save the universe from the Empire's world-destroying battle-station, while also attempting to rescue Princess Leia from the evil Darth Vader.",
    title: 'Star Wars: Episode IV - A New Hope',
    scoreDetails: {
      value: 7.847857250621068,
      description: 'the value calculated by combining the scores (either normalized or raw) across input pipelines from which this document is output from:',
      normalization: 'sigmoid',
      combination: {
        method: 'custom expression',
        expression: "{ string: { $sum: [ { $multiply: [ '$$searchOne', 10 ] }, '$$searchTwo' ] } }"
      },
      details: [
        {
          inputPipelineName: 'searchOne',
          inputPipelineRawScore: 0.7987099885940552,
          weight: 1,
          value: 0.6896984675751023,
          details: []
        },
        {
          inputPipelineName: 'searchTwo',
          inputPipelineRawScore: 2.9629626274108887,
          weight: 1,
          value: 0.950872574870045,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a139af29313caabcf0f5f'),
    plot: 'Two Jedi Knights escape a hostile blockade to find allies and come across a young boy who may bring balance to the Force, but the long dormant Sith resurface to reclaim their old glory.',
    title: 'Star Wars: Episode I - The Phantom Menace',
    scoreDetails: {
      value: 7.801513736063318,
      description: 'the value calculated by combining the scores (either normalized or raw) across input pipelines from which this document is output from:',
      normalization: 'sigmoid',
      combination: {
        method: 'custom expression',
        expression: "{ string: { $sum: [ { $multiply: [ '$$searchOne', 10 ] }, '$$searchTwo' ] } }"
      },
      details: [
        {
          inputPipelineName: 'searchOne',
          inputPipelineRawScore: 0.7771433591842651,
          weight: 1,
          value: 0.6850641161193273,
          details: []
        },
        {
          inputPipelineName: 'searchTwo',
          inputPipelineRawScore: 2.9629626274108887,
          weight: 1,
          value: 0.950872574870045,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a1397f29313caabce77d9'),
    plot: 'After the rebels have been brutally overpowered by the Empire on their newly established base, Luke Skywalker takes advanced Jedi training with Master Yoda, while his friends are pursued by Darth Vader as part of his plan to capture Luke.',
    title: 'Star Wars: Episode V - The Empire Strikes Back',
    scoreDetails: {
      value: 7.797042499608402,
      description: 'the value calculated by combining the scores (either normalized or raw) across input pipelines from which this document is output from:',
      normalization: 'sigmoid',
      combination: {
        method: 'custom expression',
        expression: "{ string: { $sum: [ { $multiply: [ '$$searchOne', 10 ] }, '$$searchTwo' ] } }"
      },
      details: [
        {
          inputPipelineName: 'searchOne',
          inputPipelineRawScore: 0.7810181975364685,
          weight: 1,
          value: 0.6858995173201419,
          details: []
        },
        {
          inputPipelineName: 'searchTwo',
          inputPipelineRawScore: 2.7174296379089355,
          weight: 1,
          value: 0.9380473264069833,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a13c0f29313caabd62f62'),
    plot: 'Anakin Skywalker and Ahsoka Tano must rescue the kidnapped son of Jabba the Hutt, but political intrigue complicates their mission.',
    title: 'Star Wars: The Clone Wars',
    scoreDetails: {
      value: 7.79454790938817,
      description: 'the value calculated by combining the scores (either normalized or raw) across input pipelines from which this document is output from:',
      normalization: 'sigmoid',
      combination: {
        method: 'custom expression',
        expression: "{ string: { $sum: [ { $multiply: [ '$$searchOne', 10 ] }, '$$searchTwo' ] } }"
      },
      details: [
        {
          inputPipelineName: 'searchOne',
          inputPipelineRawScore: 0.7561323642730713,
          weight: 1,
          value: 0.6805134398691156,
          details: []
        },
        {
          inputPipelineName: 'searchTwo',
          inputPipelineRawScore: 4.537533760070801,
          weight: 1,
          value: 0.989413510697013,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a1397f29313caabce8cdb'),
    plot: 'After rescuing Han Solo from the palace of Jabba the Hutt, the rebels attempt to destroy the second Death Star, while Luke struggles to make Vader return from the dark side of the Force.',
    title: 'Star Wars: Episode VI - Return of the Jedi',
    scoreDetails: {
      value: 7.7910863426550625,
      description: 'the value calculated by combining the scores (either normalized or raw) across input pipelines from which this document is output from:',
      normalization: 'sigmoid',
      combination: {
        method: 'custom expression',
        expression: "{ string: { $sum: [ { $multiply: [ '$$searchOne', 10 ] }, '$$searchTwo' ] } }"
      },
      details: [
        {
          inputPipelineName: 'searchOne',
          inputPipelineRawScore: 0.7782549858093262,
          weight: 1,
          value: 0.6853039016248079,
          details: []
        },
        {
          inputPipelineName: 'searchTwo',
          inputPipelineRawScore: 2.7174296379089355,
          weight: 1,
          value: 0.9380473264069833,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a139af29313caabcf124d'),
    plot: 'As the Clone Wars near an end, the Sith Lord Darth Sidious steps out of the shadows, at which time Anakin succumbs to his emotions, becoming Darth Vader and putting his relationships with Obi-Wan and Padme at risk.',
    title: 'Star Wars: Episode III - Revenge of the Sith',
    scoreDetails: {
      value: 7.743510743539187,
      description: 'the value calculated by combining the scores (either normalized or raw) across input pipelines from which this document is output from:',
      normalization: 'sigmoid',
      combination: {
        method: 'custom expression',
        expression: "{ string: { $sum: [ { $multiply: [ '$$searchOne', 10 ] }, '$$searchTwo' ] } }"
      },
      details: [
        {
          inputPipelineName: 'searchOne',
          inputPipelineRawScore: 0.756283700466156,
          weight: 1,
          value: 0.6805463417132204,
          details: []
        },
        {
          inputPipelineName: 'searchTwo',
          inputPipelineRawScore: 2.7174296379089355,
          weight: 1,
          value: 0.9380473264069833,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a139af29313caabcf1258'),
    plot: 'Ten years after initially meeting, Anakin Skywalker shares a forbidden romance with Padmè, while Obi-Wan investigates an assassination attempt on the Senator and discovers a secret clone army crafted for the Jedi.',
    title: 'Star Wars: Episode II - Attack of the Clones',
    scoreDetails: {
      value: 7.708006822019003,
      description: 'the value calculated by combining the scores (either normalized or raw) across input pipelines from which this document is output from:',
      normalization: 'sigmoid',
      combination: {
        method: 'custom expression',
        expression: "{ string: { $sum: [ { $multiply: [ '$$searchOne', 10 ] }, '$$searchTwo' ] } }"
      },
      details: [
        {
          inputPipelineName: 'searchOne',
          inputPipelineRawScore: 0.7400004267692566,
          weight: 1,
          value: 0.676995949561202,
          details: []
        },
        {
          inputPipelineName: 'searchTwo',
          inputPipelineRawScore: 2.7174296379089355,
          weight: 1,
          value: 0.9380473264069833,
          details: []
        }
      ]
    }
  },
  {
    _id: ObjectId('573a1398f29313caabce9091'),
    plot: "A Duke's son leads desert warriors against the galactic emperor and his father's evil nemesis when they assassinate his father and free their desert world from the emperor's rule.",
    title: 'Dune',
    scoreDetails: {
      value: 6.888556969451009,
      description: 'the value calculated by combining the scores (either normalized or raw) across input pipelines from which this document is output from:',
      normalization: 'sigmoid',
      combination: {
        method: 'custom expression',
        expression: "{ string: { $sum: [ { $multiply: [ '$$searchOne', 10 ] }, '$$searchTwo' ] } }"
      },
      details: [
        {
          inputPipelineName: 'searchOne',
          inputPipelineRawScore: 0.7947750091552734,
          weight: 1,
          value: 0.6888556969451008,
          details: []
        },
        {
          inputPipelineName: 'searchTwo',
          inputPipelineRawScore: 0,
          weight: 1,
          value: 0
        }
      ]
    }
  },
  {
    _id: ObjectId('573a1397f29313caabce6f53'),
    plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...',
    title: 'Message from Space',
    scoreDetails: {
      value: 6.8813100491486825,
      description: 'the value calculated by combining the scores (either normalized or raw) across input pipelines from which this document is output from:',
      normalization: 'sigmoid',
      combination: {
        method: 'custom expression',
        expression: "{ string: { $sum: [ { $multiply: [ '$$searchOne', 10 ] }, '$$searchTwo' ] } }"
      },
      details: [
        {
          inputPipelineName: 'searchOne',
          inputPipelineRawScore: 0.7913960218429565,
          weight: 1,
          value: 0.6881310049148682,
          details: []
        },
        {
          inputPipelineName: 'searchTwo',
          inputPipelineRawScore: 0,
          weight: 1,
          value: 0
        }
      ]
    }
  },
  {
    _id: ObjectId('573a139df29313caabcfa90b'),
    plot: 'In this Star Wars take-off, the peaceful planet of Jillucia has been nearly wiped out by the Gavanas, whose leader takes orders from his mother (played a comic actor in drag) rather than ...',
    title: 'Message from Space',
    scoreDetails: {
      value: 6.8813100491486825,
      description: 'the value calculated by combining the scores (either normalized or raw) across input pipelines from which this document is output from:',
      normalization: 'sigmoid',
      combination: {
        method: 'custom expression',
        expression: "{ string: { $sum: [ { $multiply: [ '$$searchOne', 10 ] }, '$$searchTwo' ] } }"
      },
      details: [
        {
          inputPipelineName: 'searchOne',
          inputPipelineRawScore: 0.7913960218429565,
          weight: 1,
          value: 0.6881310049148682,
          details: []
        },
        {
          inputPipelineName: 'searchTwo',
          inputPipelineRawScore: 0,
          weight: 1,
          value: 0
        }
      ]
    }
  }
]

クエリについて

サンプルクエリは、セマンティック検索と全文検索からスコア付き検索結果を取得し、結果を結合する前に sigmoid式を適用してスコアを正規化します。次に、パイプラインからのスコアを各ドキュメントの単一の集計スコアに結合します。

クエリの重み付け

サンプルクエリは、結果を結合するときに正規化された入力パイプラインスコアに重みを適用します。カスタム集計式を使用して重みを適用します。この例では、クエリは $multiply式を使用して、searchOneパイプラインからのスコアに 10 を乗算します。これにより、このパイプラインの結果は、 searchTwoパイプラインの結果よりも多く、最終スコアに貢献します。次に、$sum集計演算子を使用して、2 つのパイプラインステージのスコアを追加します。

Final Score = ($$searchOne * 10) + $$searchTwo

注意

式を使用してクエリ結果を組み合わせた場合（combination.method: expression）、クエリで重みを使用することはできません。前述のサンプルクエリに示すように、$multiply を使用することを推奨します。

クエリ ステージ

サンプルクエリでは、 $scoreFusion ステージを使用してセマンティック クエリと全テキスト クエリを個別に実行し、入力クエリ結果を重複除外して最終スコア付き結果セットに結合します。入力パイプラインからの合計スコアと組み合わせの重みに基づいて、ドキュメントのセットが返されます。具体的には、このステージでは次の入力パイプラインが必要です。

vectorPipeline

このパイプラインには $vectorSearch クエリが含まれています。クエリの queryVectorフィールドにベクトル埋め込みとして指定された string スターターを plot_embedding_voyage_3_largeフィールドで検索します。クエリでは、 Vyage AIの voyage-3-large 埋め込みモデルが使用されます。このモデルは plot_embedding_voyage_3_largeフィールドの埋め込みに使用されるのと同じモデルです。このクエリでは最大 100 の最近傍の検索を指定し、結果を 20 ドキュメントのみに制限します。このステージでは、セマンティック検索からスコア付けされたドキュメントが返されます。

fullTextPipeline

このパイプラインには、以下のステージが含まれています。

  • $search は、titleフィールドに star wars というタームを含む映画を検索します。このステージでは、全文検索からスコア付きドキュメントが返されます。

  • $limitの出力を$searchステージにおいて20件の結果のみに制限します。

サンプルクエリでは、次のステージを使用して、セマンティック検索とテキスト検索の結果をドキュメントの単一のスコアリング リストとして返します。

$project

結果には次のフィールドのみが含まれます。

  • _id

  • title

  • plot

  • scoreDetails

$limit

出力を10の結果のみに制限します。

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