RAG lesson: AutoDocs AI without noise

RAG usually fails on document splitting, not on the model.

What works

• Chunk by headings and sections, not mid-sentence fixed token windows.
• Metadata: document type, version, product — filter before similarity.
• Top-k with citation: the model gets snippets + source, not “all world knowledge”.
• Allow refusal: if context is weak, say “not in the docs”.

Business outcome

Instead of hours digging through PDFs — a natural-language question and a concrete answer grounded in a section.

AutoDocs AI on this site is that LLM proof point: not chat for chat’s sake, but meaning search over documents.