QamaqQamaq
POST

ナレッジベースを検索（POST）

/search

ベクトル埋め込みを使用してナレッジベース全体にセマンティック検索を実行します。

一般的なユースケース

  • Build a search interface for your knowledge base
  • Power an AI chatbot with relevant context
  • Find related documents for research

重要な注意事項

  • Search results include a relevance score from 0 to 1
  • Use the threshold parameter to filter low-relevance results
  • For best results, use natural language queries

リクエストボディ

application/json必須
{
query*:string

Search query

limit:integer

Maximum number of results

Default: 10

folder_id:string

Limit search to specific folder

file_types:string[]

Filter by file types (e.g., ['pdf', 'docx'])

include_content:boolean

Include content snippets in results

Default: true

threshold:number

Minimum relevance score

Default: 0.7

}

コード例

curl -X POST "https://api.qamaq.io/api/v1/search" \
  -H "Authorization: Bearer qmq_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{"key": "value"}'

レスポンス

200Search results

Response Body

{
query:string
results:object[]
total:integer
processing_time_ms:number
}
戻る： セマンティック検索ハイブリッド検索