RAG document intelligence QA
What buyers should infer
Answers questions from your own documents in plain language and points to the exact source for each answer.
Commercial fit
Routes into ML APIs work when document Q&A is contracted as an optional bounded module—citations, corpus ceilings, infra owner on your side—not an open-ended “chat with everything” retainer.
Reference overview
Ingest chunks documents for retrieval, then answers questions using retrieved context and a hosted model. Each reply cites document, page, and chunk identifiers so answers stay traceable.
Handoff notes
The deployed API demonstrates rate limits, health checks, optional keys, retrieval floors, and CORS—the sort of operational scaffolding a scoped retrieval pilot expects. Bounded scope, corpus hygiene, and client-side ownership remain contract questions, not turnkey rentals.