Grounding AI in Your Own Knowledge (RAG)
Why models invent answers about your business, and how retrieval-augmented generation fixes it by giving them your actual sources.
How retrieval finds the right passage
Searching by meaning, not by keyword Classic search matches words. If your policy says “reimbursement window” and the customer asks about “getting money back”, a keyword search finds nothing. Retrieval systems solve this with embeddings. What an embedding is An embedding turns a piece of text into a list of numbers — a point in […]
Diagnosing a bad answer: retrieval or generation?
Two failures that look identical to the user A RAG system gives a wrong answer. Almost everyone’s first move is to edit the prompt. That fixes about half the cases and wastes time on the other half, because there are two entirely separate failures wearing the same face. Retrieval failure — the right passage was […]