A RAG ask-your-docs chatbot stops hallucinating wrong answers when retrieval is treated as an evaluated evidence pipeline, not a clever prompt. I build ask-your-docs features in Python, and I start with a blunt rule: retrieve evidence, fit it into the prompt budget, and let the model say "not found" when the evidence is absent. Embeddings and chunking are necessary, but they don't prove that the answerable passage reached the generator. I learned that distinction after watching a RAG demo so...