New Guide Shows How to Make AI Answer From Your Own Files
Your work chatbot keeps inventing answers — here's the most common fix
Deep Dive
RAG is the fix for Q&A over your own docs — and this tutorial walks through building a LangChain pipeline that does it: chunking, embeddings, retrieval, citations, and Weave evaluation, with the pitfalls fixed.
Key Points
- RAG is how you make an AI answer from your own documents instead of guessing from the internet
- The biggest failures are mundane: documents cut into bad-sized pieces, and searches that grab the wrong page
- Adding citations and testing the system repeatedly is what makes answers trustworthy enough for real work
Why It Matters
Better AI answers from your own files mean fewer wrong answers at work — and you can check the source.