What is a RAG document?

Retrieval-Augmented Generation (RAG) augments LLM answers with facts from your corpus. A RAG document is any source article — FAQ, policy, product spec — prepared for chunking and vector indexing.

Chunk quality depends on structure: headings, scope per section, and explicit exclusions reduce hallucination when retrieved snippets mix unrelated sentences.