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Question Answering

Question Answering turns your vector 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 Vector 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]
File Search
Learn how to search for complete files in your Vector Store, finding relevant documents ranked by overall relevance.
Reranking
Learn how to use reranking to improve search result quality and relevance in your Vector Store searches.

Last updated: August 29, 2025