背景・目的

前回、ベクトル検索について整理しました。今回はOpenSearch Service Serverlessを使用して試してみます。

まとめ

下記に特徴を整理します。

特徴	説明
settings	インデックスの設定（KNN検索を有効にするなど） index.knn:trueは、KNN検索を有効にしている
mappings	フィールドの定義（型やベクトルの次元など）文章のタイトルなどを保存するフィールド。全文検索（フリーワード検索）に対応している text型は、検索時にトークンに分割されて検索可能になる
embedding	ベクトル検索用のフィールド

概要

CloudFormation

CloudFormationで、OpneSearch Service Serverlessを作成します。

Collection

Type: AWS::OpenSearchServerless::Collection
Properties:
  Description: String
  Name: String
  StandbyReplicas: String
  Tags: 
    - Tag
  Type: String

StandbyReplicas
- レプリカを用意するか？今回は検証なのでDISALBLEにします
Type
- コレクションのタイプ
- 下記から選びます
  - SEARCH
  - TIMESERIES
  - VECTORSEARCH

SecurityPolicy

networkとencryptionの2つがある

Type: AWS::OpenSearchServerless::SecurityPolicy
Properties:
  Description: String
  Name: String
  Policy: String
  Type: String

Type
- セキュリティポリシーのタイプ
- 下記から選びます
  - encryption
  - network
Policy
- Typeに応じた内容を書きます

encryption

Description: OpenSearch Serverless encryption policy template
Resources:
  TestSecurityPolicy:
    Type: 'AWS::OpenSearchServerless::SecurityPolicy'
    Properties:
      Name: logs-encryption-policy
      Type: encryption
      Description: Encryption policy for test collections
      Policy: >-
        {"Rules":[{"ResourceType":"collection","Resource":["collection/logs*"]}],"AWSOwnedKey":true}

AWSOwnedKey:trueの場合、AWS所有のKMSキーを使う

network

Description: OpenSearch Serverless network policy template
Resources:
  SecurityPolicy:
    Type: 'AWS::OpenSearchServerless::SecurityPolicy'
    Properties:
      Name: logs-network-policy
      Type: network
      Description: Network policy for test collections
      Policy >-
        [{"Rules":[{"ResourceType":"collection","Resource":["collection/logs*"]},
        {"ResourceType":"dashboard","Resource":["collection/logs*"]}],"AllowFromPublic":true}]

AllowFromPublic:Public アクセス可能。falseの場合にVPCアクセスのみとなるため、SourceVPCeを指定する

AccessPolicy

Type: AWS::OpenSearchServerless::AccessPolicy
Properties:
  Description: String
  Name: String
  Policy: String
  Type: String

Typeにはdataを指定

実践

前提

環境

OS:MacOS
エディタ:Cursor
言語：Python

IAMロール

下記のIAMポリシーをSSOアカウントのインラインポリシーに設定しておきます

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Action": [
        "aoss:CreateCollection",
        "aoss:ListCollections",
        "aoss:BatchGetCollection",
        "aoss:DeleteCollection",
        "aoss:CreateAccessPolicy",
        "aoss:ListAccessPolicies",
        "aoss:UpdateAccessPolicy",
        "aoss:CreateSecurityPolicy",
        "aoss:GetSecurityPolicy",
        "aoss:UpdateSecurityPolicy",
        "iam:ListUsers",
        "iam:ListRoles"
      ],
      "Effect": "Allow",
      "Resource": "*"
    }
  ]
}

事前準備

リポジトリを作成します

% gh repo create opensearch-test --public --clone
✓ Created repository XXXXX/opensearch-test on GitHub
  https://github.com/XXXXX/opensearch-test
%
% gh repo view XXXXX/opensearch-test          

XXXXX/opensearch-test
No description provided

This repository does not have a README

View this repository on GitHub: https://github.com/XXXXX/opensearch-test
%

フォルダをワークスペースに追加で、作成したフォルダを指定します

CloudFormation テンプレートで OpenSearch Serverlessを作成

templatesフォルダを作成します

templates/opensearch-serveless.ymlを作成し、下記のコードを書きます

AWSTemplateFormatVersion: '2010-09-09'
Description: 'AWS OpenSearch Serverless Deployment Template'


Parameters:
  DataAccessPrincipal:
    Type: String


Resources:
  VectorSearchCollection:
    Type: AWS::OpenSearchServerless::Collection
    Properties:
      Name: vector-search-collection
      Description: 'OpenSearch Serverless collection for vector search'
      StandbyReplicas: DISABLED
      Type: VECTORSEARCH
    DependsOn:
      - EncryptionPolicy
      - NetworkPolicy

  EncryptionPolicy:
    Type: AWS::OpenSearchServerless::SecurityPolicy
    Properties:
      Name: encryption-policy
      Description: 'Encryption policy for OpenSearch Serverless'
      Type: encryption
      Policy: >-
        {
          "Rules": [
            {
              "ResourceType": "collection",
              "Resource": ["collection/vector-search-collection"]
            }
          ],
          "AWSOwnedKey": true
        }
  NetworkPolicy:
    Type: AWS::OpenSearchServerless::SecurityPolicy
    Properties:
      Name: network-policy
      Description: 'Network policy for OpenSearch Serverless'
      Type: network
      Policy: >-
        [
          {
            "Rules": [
              {
                "ResourceType": "collection",
                "Resource": ["collection/vector-search-collection"]
              },
              {
                "ResourceType": "dashboard",
                "Resource": ["collection/vector-search-collection"]
              }
            ],
            "AllowFromPublic": true
          }
        ]

  # ベクター検索用アクセスポリシー
  VectorSearchAccessPolicy:
    Type: AWS::OpenSearchServerless::AccessPolicy
    Properties:
      Name: vector-search-access-policy
      Description: 'Access policy for vector search collection'
      Type: data
      Policy: !Sub >-
        [
          {
            "Description": "Access for cfn user",
            "Rules": [
              {
                "ResourceType": "index",
                "Resource": ["index/*/*"],
                "Permission": ["aoss:*"]
              },
              {
                "ResourceType": "collection",
                "Resource": ["collection/vector-search-collection"],
                "Permission": ["aoss:*"]
              }
            ],
            "Principal": ["${DataAccessPrincipal}"]
          }
        ]
    DependsOn:
      - VectorSearchCollection

makeファイルを作成

プロジェクト直下に Makefileを作成し、下記のコードを書きます

.PHONY: deploy validate destroy

# AWS profile and region settings
AWS_PROFILE ?= default
AWS_REGION ?= ap-northeast-1
STACK_NAME ?= opensearch-serverless-stack
DATA_ACCESS_PRINCIPAL ?= $(shell aws sts get-caller-identity --query 'Account' --output text --profile $(AWS_PROFILE) --region $(AWS_REGION))

# CloudFormation template path
TEMPLATE_FILE = templates/opensearch-serveless.yml

validate:
	@echo "Validating CloudFormation template..."
	aws cloudformation validate-template \
		--template-body file://$(TEMPLATE_FILE) \
		--profile $(AWS_PROFILE) \
		--region $(AWS_REGION)

deploy:
	@echo "Deploying OpenSearch Serverless stack..."
	@echo "Using DataAccessPrincipal: $(DATA_ACCESS_PRINCIPAL)"
	aws cloudformation deploy \
		--template-file $(TEMPLATE_FILE) \
		--stack-name $(STACK_NAME) \
		--capabilities CAPABILITY_IAM \
		--profile $(AWS_PROFILE) \
		--region $(AWS_REGION) \
		--parameter-overrides DataAccessPrincipal=$(DATA_ACCESS_PRINCIPAL)

destroy:
	@echo "Destroying OpenSearch Serverless stack..."
	aws cloudformation delete-stack \
		--stack-name $(STACK_NAME) \
		--profile $(AWS_PROFILE) \
		--region $(AWS_REGION)

help:
	@echo "Available commands:"
	@echo "  make validate  - Validate the CloudFormation template"
	@echo "  make deploy    - Deploy the OpenSearch Serverless stack"
	@echo "  make destroy   - Delete the OpenSearch Serverless stack"
	@echo "  make help      - Show this help message"
	@echo ""
	@echo "Environment variables:"
	@echo "  AWS_PROFILE   - AWS profile to use (default: default)"
	@echo "  AWS_REGION    - AWS region to deploy to (default: ap-northeast-1)"
	@echo "  STACK_NAME    - CloudFormation stack name (default: opensearch-serverless-stack)"
	@echo "  DATA_ACCESS_PRINCIPAL - AWS account ID (default: current account)"

リソースの作成

下記のコマンドを実行します

% make deploy DATA_ACCESS_PRINCIPAL=arn:aws:iam::XXXXX:role/aws-reserved/sso.amazonaws.com/ap-northeast-1/AWSReservedSSO_XXXXX
Deploying OpenSearch Serverless stack...
Using DataAccessPrincipal: arn:aws:iam::XXXXX:role/aws-reserved/sso.amazonaws.com/ap-northeast-1/AWSReservedSSO_XXXXX
aws cloudformation deploy \
                --template-file templates/opensearch-serveless.yml \
                --stack-name opensearch-serverless-stack \
                --capabilities CAPABILITY_IAM \
                --profile XXXXX \
                --region ap-northeast-1 \
                --parameter-overrides DataAccessPrincipal=arn:aws:iam::XXXXX:role/aws-reserved/sso.amazonaws.com/ap-northeast-1/AWSReservedSSO_XXXXX

Waiting for changeset to be created..
Waiting for stack create/update to complete
Successfully created/updated stack - opensearch-serverless-stack
%

できました

データの登録〜検索

OpneSearchのDev toolsから操作します

OpenSearch Serverlessに移動
ダッシュボードから作成したCollectionをクリックします
OpenSearch ダッシュボードをクリックします
「Dev Tools」をクリックします

ベクトル検索用インデックスの作成

下記を貼り付けて実行します
```
PUT my-vector-index
{
  "settings": {
    "index.knn": true
  },
  "mappings": {
    "properties": {
      "title": {
        "type": "text"
      },
      "description": {
        "type": "text"
      },
      "embedding": {
        "type": "knn_vector",
        "dimension": 4,
        "method": {
          "name": "hnsw",
          "space_type": "l2",
          "engine": "faiss"
        }
      }
    }
  }
}
```
- PUT my-vector-index は、my-vector-index というインデックス名
- settingsは、インデックスの設定（KNN検索を有効にするなど）
  - index.knn:trueは、KNN検索を有効にしている
- mappingsは、フィールドの定義（型やベクトルの次元など）
  - 文章のタイトルなどを保存するフィールド。全文検索（フリーワード検索）に対応している
  - text型は、検索時にトークンに分割されて検索可能になる
  - embedding
    - type : knn_vector
      - ベクトル検索専用
    - dimension: 4
      - このベクトルは4次元
      - 登録するデータも同じ長さにする必要がある
    - method
      - ベクトル検索のアルゴリズム設定
      - name:hnsw
        
        HNSW（Hierarchical Navigable Small World）
      - space_type
        
        l2、L2ノルム
      - engine:faiss
        
        Facebooks製ベクトル検索エンジン
- これにより、タイトルのキーワード検索
- ベクトルによる意味の近さ

結果が返されました。acknowledgedがtrueで返されました

{
  "acknowledged": true,
  "shards_acknowledged": true,
  "index": "my-vector-index"
}

インデックスもできました

データ登録

Dev Toolsでデータを登録します（最初の数件を表示していますが100件登録しました）

POST _bulk
{"index": {"_index": "my-vector-index"}}
{"title": "Distributed Systems in Action", "description": "Distributed Systems in Action - A comprehensive and practical book in the field of software and technology.", "embedding": [0.1038, 0.0859, 0.0608, 0.9006]}
{"index": {"_index": "my-vector-index"}}
{"title": "Java Cookbook", "description": "Java Cookbook - A comprehensive and practical book in the field of software and technology.", "embedding": [0.0535, 0.1386, 0.0729, 0.9075]}
・・・

成功しました

{
  "took": 330,
  "errors": false,
  "items": [
    {
      "index": {
        "_index": "my-vector-index",
        "_id": "1%3A0%3ABcLMCZYBtRq-o6tNRFQB",
        "_version": 1,
        "result": "created",
        "_shards": {
          "total": 0,
          "successful": 0,
          "failed": 0
        },
        "_seq_no": 0,
        "_primary_term": 0,
        "status": 201
      }
    },
    {
      "index": {
        "_index": "my-vector-index",
        "_id": "1%3A0%3ABsLMCZYBtRq-o6tNRFQB",
        "_version": 1,
        "result": "created",
        "_shards": {
          "total": 0,
          "successful": 0,
          "failed": 0
        },
        "_seq_no": 0,
        "_primary_term": 0,
        "status": 201
      }
    },
    ・・・・

ドキュメントの件数を確認します

GET my-vector-index/_search
{
  "size": 0
}

104件返されました。（何回か手動で実行したので、100件ではなく104件になっています）

{
  "took": 17,
  "timed_out": false,
  "_shards": {
    "total": 0,
    "successful": 0,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": {
      "value": 104,
      "relation": "eq"
    },
    "max_score": null,
    "hits": []
  }
}

マネコンでも確認できました

KW検索（match）

titleに「Python」を含む本を検索します

下記のコマンドを実行します

GET my-vector-index/_search
{
  "query": {
    "match": {
      "title": "Python"
    }
  }
}

下記の結果が返されました

{
  "took": 35,
  "timed_out": false,
  "_shards": {
    "total": 0,
    "successful": 0,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": {
      "value": 5,
      "relation": "eq"
    },
    "max_score": 3.6306305,
    "hits": [
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AUsLMCZYBtRq-o6tNRFQE",
        "_score": 3.6306305,
        "_source": {
          "title": "Python Essentials",
          "description": "Python Essentials - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.1098,
            0.0933,
            0.0612,
            0.8775
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AE8LMCZYBtRq-o6tNRFQC",
        "_score": 3.207633,
        "_source": {
          "title": "Python Handbook",
          "description": "Python Handbook - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0945,
            0.0828,
            0.0987,
            0.8597
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AWcLMCZYBtRq-o6tNRFQF",
        "_score": 3.207633,
        "_source": {
          "title": "Python Guide",
          "description": "Python Guide - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.1017,
            0.0959,
            0.1301,
            0.9075
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AIcLMCZYBtRq-o6tNRFQC",
        "_score": 3.160477,
        "_source": {
          "title": "Python for Professionals",
          "description": "Python for Professionals - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.1142,
            0.0918,
            0.0605,
            0.9455
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AL8LMCZYBtRq-o6tNRFQD",
        "_score": 2.2064066,
        "_source": {
          "title": "Python From Zero to Hero",
          "description": "Python From Zero to Hero - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0737,
            0.0824,
            0.0896,
            0.9137
          ]
        }
      }
    ]
  }
}

フレーズ検索（match_phrase）

説明文に完全に一致するフレーズを含む本を探します

下記のコマンドを実行します

GET my-vector-index/_search
{
  "query": {
    "match_phrase": {
      "description": "comprehensive and practical"
    }
  }
}

下記の結果が返されました

{
  "took": 38,
  "timed_out": false,
  "_shards": {
    "total": 0,
    "successful": 0,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": {
      "value": 104,
      "relation": "eq"
    },
    "max_score": 0.029437244,
    "hits": [
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3ABMLJCZYBtRq-o6tN-VS_",
        "_score": 0.029437244,
        "_source": {
          "title": "Java Cookbook",
          "description": "Java Cookbook - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0535,
            0.1386,
            0.0729,
            0.9075
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3ABsLMCZYBtRq-o6tNRFQB",
        "_score": 0.029437244,
        "_source": {
          "title": "Java Cookbook",
          "description": "Java Cookbook - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0535,
            0.1386,
            0.0729,
            0.9075
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AGsLMCZYBtRq-o6tNRFQC",
        "_score": 0.029437244,
        "_source": {
          "title": "Algorithms Practices",
          "description": "Algorithms Practices - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0501,
            0.0905,
            0.0558,
            0.9357
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AIsLMCZYBtRq-o6tNRFQC",
        "_score": 0.029437244,
        "_source": {
          "title": "DevOps Handbook",
          "description": "DevOps Handbook - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0669,
            0.0532,
            0.1023,
            0.8631
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3ANcLMCZYBtRq-o6tNRFQD",
        "_score": 0.029437244,
        "_source": {
          "title": "Microservices Handbook",
          "description": "Microservices Handbook - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.1049,
            0.0722,
            0.0817,
            0.8607
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AP8LMCZYBtRq-o6tNRFQD",
        "_score": 0.029437244,
        "_source": {
          "title": "Kubernetes Practices",
          "description": "Kubernetes Practices - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0568,
            0.0639,
            0.1313,
            0.9223
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AQ8LMCZYBtRq-o6tNRFQE",
        "_score": 0.029437244,
        "_source": {
          "title": "Kubernetes Guide",
          "description": "Kubernetes Guide - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.12,
            0.1067,
            0.1307,
            0.9149
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AT8LMCZYBtRq-o6tNRFQE",
        "_score": 0.029437244,
        "_source": {
          "title": "Rust Principles",
          "description": "Rust Principles - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0849,
            0.1196,
            0.1029,
            0.8612
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AUcLMCZYBtRq-o6tNRFQE",
        "_score": 0.029437244,
        "_source": {
          "title": "Databases Essentials",
          "description": "Databases Essentials - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0975,
            0.0597,
            0.0758,
            0.8662
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AUsLMCZYBtRq-o6tNRFQE",
        "_score": 0.029437244,
        "_source": {
          "title": "Python Essentials",
          "description": "Python Essentials - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.1098,
            0.0933,
            0.0612,
            0.8775
          ]
        }
      }
    ]
  }
}

類似ベクトル検索（knn）

「専門性が高い本」に近い embedding を持つ上位3件を検索します

下記のコマンドを実行します

GET my-vector-index/_search
{
  "size": 3,
  "query": {
    "knn": {
      "embedding": {
        "vector": [0.1, 0.1, 0.1, 0.9],
        "k": 3
      }
    }
  }
}

下記の結果が返されました

{
  "took": 38,
  "timed_out": false,
  "_shards": {
    "total": 0,
    "successful": 0,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": {
      "value": 10,
      "relation": "eq"
    },
    "max_score": 0.99969876,
    "hits": [
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AaMLMCZYBtRq-o6tNRFQF",
        "_score": 0.99969876,
        "_source": {
          "title": "Machine Learning Handbook",
          "description": "Machine Learning Handbook - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.1123,
            0.0923,
            0.0914,
            0.9041
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3ATsLMCZYBtRq-o6tNRFQE",
        "_score": 0.9994855,
        "_source": {
          "title": "Java for Professionals",
          "description": "Java for Professionals - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0971,
            0.0913,
            0.0895,
            0.9179
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AKsLMCZYBtRq-o6tNRFQD",
        "_score": 0.99919564,
        "_source": {
          "title": "Big Data From Zero to Hero",
          "description": "Big Data From Zero to Hero - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0913,
            0.102,
            0.0905,
            0.9252
          ]
        }
      }
    ]
  }
}

条件付き検索（bool）

title に DevOps を含み、かつ description に beginner を含まない条件で検索します

下記を実行します

GET my-vector-index/_search
{
  "query": {
    "bool": {
      "must": [
        { "match": { "title": "DevOps" } }
      ],
      "must_not": [
        { "match": { "description": "beginner" } }
      ]
    }
  }
}

下記の結果が返されました

{
  "took": 30,
  "timed_out": false,
  "_shards": {
    "total": 0,
    "successful": 0,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": {
      "value": 5,
      "relation": "eq"
    },
    "max_score": 3.6306305,
    "hits": [
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AIsLMCZYBtRq-o6tNRFQC",
        "_score": 3.6306305,
        "_source": {
          "title": "DevOps Handbook",
          "description": "DevOps Handbook - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0669,
            0.0532,
            0.1023,
            0.8631
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AQsLMCZYBtRq-o6tNRFQE",
        "_score": 3.207633,
        "_source": {
          "title": "DevOps Principles",
          "description": "DevOps Principles - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0555,
            0.133,
            0.0582,
            0.8911
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3AEsLMCZYBtRq-o6tNRFQC",
        "_score": 2.7861922,
        "_source": {
          "title": "DevOps in Action",
          "description": "DevOps in Action - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0695,
            0.1037,
            0.1464,
            0.932
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3ARsLMCZYBtRq-o6tNRFQE",
        "_score": 2.7861922,
        "_source": {
          "title": "DevOps for Beginners",
          "description": "DevOps for Beginners - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0932,
            0.0961,
            0.0921,
            0.8663
          ]
        }
      },
      {
        "_index": "my-vector-index",
        "_id": "1%3A0%3ALsLMCZYBtRq-o6tNRFQD",
        "_score": 2.5103216,
        "_source": {
          "title": "DevOps From Zero to Hero",
          "description": "DevOps From Zero to Hero - A comprehensive and practical book in the field of software and technology.",
          "embedding": [
            0.0749,
            0.1446,
            0.0961,
            0.8671
          ]
        }
      }
    ]
  }
}

考察

OpenSearch Serverlessでさまざまな検索クエリ（match、knnなど）を試しました、
今後は、実際の埋め込みデータを用いたベクトル検索や、検索結果の活用方法についても深掘りしていきたいと思います。

参考