RAG Knowledge Engines

Most organisations already have the answer written down somewhere — in a policy document, a contract, a supplier manual, four years of email. The problem is finding it.

A retrieval-augmented generation (RAG) engine indexes your material, finds the passages that actually bear on a question, and answers from those — with a citation back to the source document and page. It is the difference between a system that sounds confident and one you can audit.

Practical matters we handle: keeping the index current as documents change, respecting who is allowed to see what, and making the system say "I do not know" rather than guess. That last one takes deliberate work and is the main thing separating a useful knowledge engine from a demo.