Question Answering

Question Answering turns your store into an AI-powered knowledge base.
Instead of returning raw content like search, it generates complete answers based on the retrieved context.

Basic Question Answering

Ask questions and get augmented answers based on your Store content:

Multimodal support enables:

• Image understanding: Answers based on diagrams, charts, and visuals
• OCR text: Extracted text from images contributes to answers

Defaults and configuration

By default, Question Answering uses citations and multimodal context.
To change behavior, pass qa_options explicitly.

Example Response

• Answer: AI-generated answer. May include citation tags like <cite i="0"/>.
• Sources: Context used for the answer. Each entry includes:
  • chunk_index, score, file_id, filename
  • Content fields: text, image_url, with optional ocr_text
  • Use indices from <cite i="n"/> to map to sources[n]