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Atlas でのMongoDB Search とベクトル検索の使用

重要

Atlas CLI バージョン 1.52.0 以降、atlas deployments コマンドは非推奨です。ローカル配置には atlas local コマンドを使用します。このチュートリアルを atlas local コマンドを使用するように更新しました。

このチュートリアルでは、atlas local コマンドを使用してMongoDB Searchインデックスの作成、クエリの実行、ローカル配置でMongoDB ベクトル検索 を操作する方法を説明します。

始める前に、次の前提条件を完了してください。

重要

依存関係リスト内の各製品の互換性情報については、製品のインストール ドキュメントを参照してください。

  • Atlas 配置の作成。

    例:

    atlas local setup

    詳細については、「 Atlas 配置のローカル配置の作成 」を参照してください。

    重要

    MongoDB ベクトル検索で Atlas CLI を使用するには、 MongoDB 7.0.5 以降で Atlas 配置を作成する必要があります。以前のMongoDBバージョンでローカル Atlas 配置を作成した場合、自動的に最新のMongoDBバージョンは取得されません。以前のイメージと配置を削除する必要があります。その後、新しい Atlas 配置を作成する必要があります。

  • サンプル データをダウンロードしてロードします。

    例:

    1. サンプル データをダウンロードするには、次のコマンドを実行します。

      curl https://atlas-education.s3.amazonaws.com/sampledata.archive -o sampledata.archive
    2. 次のコマンドをコピーしてターミナルに貼り付け、 {port-number}を配置用のポートに置き換えます。

      mongorestore --archive=sampledata.archive --port={port-number}

次の制限が適用されます。

  • 同時検索は実行できません。

  • ブール値句は1024を超えることはできません。

MongoDB Search を操作するには、atlas local コマンドを使用します。詳しくは、MongoDB Search を参照してください。

このコマンドは、次の方法で実行できます。

  • 対話モード: コマンドはMongoDB Search 設定を要求します。

    注意

    インタラクティブ モードでは、デフォルト設定で基本的なMongoDB Searchインデックスを作成できます。

  • 非対話型モード(フラグ) : 指定されたオプションを使用して コマンドを実行します。 コマンドでは、それ以上の値を指定するように求められません。

  • 非対話型モード(構成ファイル) : 構成ファイルで指定された設定を持つ コマンドを実行します。 コマンドでは、それ以上の値を指定するように求められません。

次のいずれかのタブをクリックすると、ご希望モードのコマンドが表示されます。

1
  1. 次のコマンドを実行します:

    atlas local search indexes create
  2. 配置を指定し、 Enterを押します。

  3. インデックスの名前としてsearchIndexを指定し、 Enterを押します。

  4. データベースを指定し、sample_mflix Enterを押します。

  5. コレクションを指定し、movies Enterを押します。

2
  1. 配置に接続するには、次のコマンドを実行します。

    atlas local connect
  2. 接続する配置を指定し、 Enterを押します。

  3. mongoshEnterを指定し、 を押します。

3
use sample_mflix
4
db.movies.aggregate([
{
$search: {
"index": "searchIndex",
"text": {
"query": "baseball",
"path": "plot"
}
}
},
{
$limit: 5
},
{
$project: {
"_id": 0,
"title": 1,
"plot": 1
}
}
])
[
{
plot: 'A trio of guys try and make up for missed opportunities in childhood by forming a three-player baseball team to compete against standard children baseball squads.',
title: 'The Benchwarmers'
},
{
plot: 'A young boy is bequeathed the ownership of a professional baseball team.',
title: 'Little Big League'
},
{
plot: 'A trained chimpanzee plays third base for a minor-league baseball team.',
title: 'Ed'
},
{
plot: 'The story of the life and career of the famed baseball player, Lou Gehrig.',
title: 'The Pride of the Yankees'
},
{
plot: 'Babe Ruth becomes a baseball legend but is unheroic to those who know him.',
title: 'The Babe'
}
]
1

次のコマンドをコピーしてターミナルに貼り付け、 {myRs}を配置に置き換えます。

atlas local search indexes create searchIndex --deploymentName {myRs} --db sample_mflix --collection movies
2
  1. 配置に接続するには、次のコマンドを実行します。

    atlas local connect
  2. 接続する配置を指定し、 Enterを押します。

  3. mongoshEnterを指定し、 を押します。

3
use sample_mflix
4
db.movies.aggregate([
{
$search: {
"index": "searchIndex",
"text": {
"query": "baseball",
"path": "plot"
}
}
},
{
$limit: 5
},
{
$project: {
"_id": 0,
"title": 1,
"plot": 1
}
}
])
[
{
plot: 'A trio of guys try and make up for missed opportunities in childhood by forming a three-player baseball team to compete against standard children baseball squads.',
title: 'The Benchwarmers'
},
{
plot: 'A young boy is bequeathed the ownership of a professional baseball team.',
title: 'Little Big League'
},
{
plot: 'A trained chimpanzee plays third base for a minor-league baseball team.',
title: 'Ed'
},
{
plot: 'The story of the life and career of the famed baseball player, Lou Gehrig.',
title: 'The Pride of the Yankees'
},
{
plot: 'Babe Ruth becomes a baseball legend but is unheroic to those who know him.',
title: 'The Babe'
}
]
1
{
"collectionName": "movies",
"database": "sample_mflix",
"mappings": {
"dynamic": true
},
"name": "searchIndex"
}
2
  1. 次のコマンドを実行します:

    atlas local search indexes create --file indexDef.json
  2. 配置を指定し、 Enterを押します。

3
  1. 配置に接続するには、次のコマンドを実行します。

    atlas local connect
  2. 接続する配置を指定し、 Enterを押します。

  3. mongoshEnterを指定し、 を押します。

4
use sample_mflix
5
db.movies.aggregate([
{
$search: {
"index": "searchIndex",
"text": {
"query": "baseball",
"path": "plot"
}
}
},
{
$limit: 5
},
{
$project: {
"_id": 0,
"title": 1,
"plot": 1
}
}
])
[
{
plot: 'A trio of guys try and make up for missed opportunities in childhood by forming a three-player baseball team to compete against standard children baseball squads.',
title: 'The Benchwarmers'
},
{
plot: 'A young boy is bequeathed the ownership of a professional baseball team.',
title: 'Little Big League'
},
{
plot: 'A trained chimpanzee plays third base for a minor-league baseball team.',
title: 'Ed'
},
{
plot: 'The story of the life and career of the famed baseball player, Lou Gehrig.',
title: 'The Pride of the Yankees'
},
{
plot: 'Babe Ruth becomes a baseball legend but is unheroic to those who know him.',
title: 'The Babe'
}
]

ローカル配置でMongoDB ベクトル検索 を操作するには、atlas local コマンドを使用します。詳細については、 ベクトル検索用のベクトル埋め込みのインデックス作成方法 を参照してください。

重要

MongoDB ベクトル検索で Atlas CLI を使用するには、 MongoDB 7.0.5 以降で Atlas 配置を作成する必要があります。以前のMongoDBバージョンでローカル Atlas 配置を作成した場合、自動的に最新のMongoDBバージョンは取得されません。以前のイメージと配置を削除する必要があります。その後、新しい Atlas 配置を作成する必要があります。

1
{
"name": "vectorSearchIndex",
"type": "vectorSearch",
"collectionName": "embedded_movies",
"database": "sample_mflix",
"fields": [
{
"type": "vector",
"path": "plot_embedding",
"numDimensions": 1536,
"similarity": "euclidean"
}
]
}
2
  1. 次のコマンドを実行します:

    atlas local search indexes create --file indexDef-vector.json

    コマンドを実行するディレクトリに indexDef-vector.json が存在しない場合は、ファイルへのパスを指定する必要があります。

  2. 配置を指定し、 Enterを押します。

3
  1. クエリ埋め込みを保存するには、query-embeddings.js という名前のファイルを作成します。

  2. string fantasy adventure の次の埋め込みをコピーして query-embeddings.jsファイルに貼り付けます。

    QUERY_EMBEDDING = 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  1. query-embeddings.js ファイルを保存します。

4
  1. 配置に接続するには、次のコマンドを実行します。

    atlas local connect
  2. 接続する配置を指定し、 Enterを押します。

  3. mongoshEnterを指定し、 を押します。

5
use sample_mflix
6

ファイル を読み込むには、次のコマンドを実行して、<path-to-file>query-embeddings.jsファイルへの完全なパスに置き換えます。

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

ファイルが正しくロードされたかどうかは、次のコマンドを実行中て確認できます。

QUERY_EMBEDDING.length
1536
7
db.embedded_movies.aggregate([
{
"$vectorSearch": {
"index": "vectorSearchIndex",
"path": "plot_embedding",
"queryVector": QUERY_EMBEDDING,
"numCandidates": 150,
"limit": 10
}
},
{
"$project": {
"_id": 0,
"plot": 1,
"title": 1,
"score": { $meta: "vectorSearchScore" }
}
}
])
[
{
plot: 'When two girls move to the country to be near their ailing mother, they have adventures with the wonderous forest spirits who live nearby.',
title: 'My Neighbor Totoro',
score: 0.9999986886978149
},
{
plot: "To escape a war, a girl flees to a remote farmhouse and becomes part of an expansive family's unusual, perhaps even supernatural lifestyle.",
title: 'Black Moon',
score: 0.8282386660575867
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{
plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.',
title: 'Forest Warrior',
score: 0.8196926712989807
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{
plot: 'A shape-shifting mountain man and a group of children team up to protect an enchanted forest from evil lumberjacks.',
title: 'Forest Warrior',
score: 0.8196901082992554
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{
plot: 'An adventurous girl finds another world that is a strangely idealized version of her frustrating home, but it has sinister secrets.',
title: 'Coraline',
score: 0.815956711769104
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{
plot: "Set in a medieval village that is haunted by a werewolf, a young girl falls for an orphaned woodcutter, much to her family's displeasure.",
title: 'Red Riding Hood',
score: 0.8112794160842896
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{
plot: 'Their women having been enslaved by the local pack of lesbian vampires thanks to an ancient curse, the remaining menfolk of a rural town send two hapless young lads out onto the moors as a sacrifice.',
title: 'Vampire Killers',
score: 0.8102427124977112
},
{
plot: 'In a mythical land, a man and a young boy investigate a series of unusual occurrences.',
title: 'Tales from Earthsea',
score: 0.8100577592849731
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{
plot: 'Because of the actions of her irresponsible parents, a young girl is left alone on a decrepit country estate and survives inside her fantastic imagination.',
title: 'Tideland',
score: 0.8080059885978699
},
{
plot: 'Two siblings discover a supernatural escape from a troubled home, but find their bond tested when reality threatens to tear their family apart.',
title: 'One and Two',
score: 0.8072565197944641
}
]

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