{
  "opencollection": "1.0.0",
  "info": {
    "name": "Qubrid AI Compute Chat Completions RAG Queries API",
    "version": "1.0.0"
  },
  "request": {
    "auth": {
      "type": "bearer",
      "token": "{{bearerToken}}"
    }
  },
  "items": [
    {
      "info": {
        "name": "RAG Queries",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Query with RAG",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://platform.qubrid.com/api/v1/rag/query",
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "Performs a retrieval-augmented generation query against a specified knowledge base. The API retrieves the most relevant document chunks based on semantic similarity to the query, then uses them as context for a large language model to generate an accurate, grounded response. The response includes both the generated answer and the source document references used."
        }
      ]
    }
  ],
  "bundled": true
}