type: object
description: |
  Document RAG (Retrieval-Augmented Generation) query request.
  Searches document embeddings and generates answer using retrieved context.
required:
  - query
properties:
  query:
    type: string
    description: User query or question
    example: What are the key findings in the research papers?
  user:
    type: string
    description: User identifier for multi-tenancy
    default: trustgraph
    example: alice
  collection:
    type: string
    description: Collection to search within
    default: default
    example: research
  doc-limit:
    type: integer
    description: Maximum number of documents to retrieve
    default: 20
    minimum: 1
    maximum: 100
    example: 10
  streaming:
    type: boolean
    description: Enable streaming response delivery
    default: false
    example: true