AI Document Chat (RAG)
Chat with PDFs, Word files, and text docs using RAG: files index into a vector store and you ask natural-language questions. Researchers query 50-page reports in seconds — sign in free, 1 credit per answer. Uses cloud-based processing.
How to Use the AI Document Chat (RAG)
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Frequently Asked Questions
How does AI Document Chat find answers in my file?
Your document is chunked and indexed into a vector store (CF Vectorize), then each question retrieves the most relevant passages for the language model to answer from. It quotes from your file rather than guessing — always verify the cited page before relying on it.
Is my uploaded document stored or shared?
Your file is sent to our server for indexing and deleted after processing — never stored or shared by us. Note the language model runs on a third-party AI service whose logs may retain prompt text briefly, so avoid uploading passwords, medical records, or client secrets.
What does each AI Document Chat answer cost?
Each answer costs 1 text-generation credit via /api/ai/generate. Signed-in free plans include a one-time 5-credit trial (about 5 questions); Pro includes 200 credits monthly. Anonymous visitors are blocked (401) since credits need an account.
What file types and sizes work best?
Native-text PDFs, Word (.docx), and plain text index cleanly up to roughly 50 pages per session. Scanned image-only PDFs need OCR first — run them through an OCR tool, then chat with the extracted text for far better answers.
Can AI Document Chat cite page numbers?
It cites the retrieved passages it answered from, which usually map to sections rather than exact printed page numbers. For legal or academic use, open the source page it names and confirm the quote yourself before citing it elsewhere.
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Last updated October 2026