A hands-on series on taking retrieval-augmented generation from a demo to a system you can trust in production.
Most RAG quality problems start at chunking, not the model. A practical guide to structure-aware splitting, overlap, and the metadata that makes retrieval precise.
Hit rate, MRR, and faithfulness, how to build a lightweight evaluation loop that tells you whether a change to your RAG pipeline actually helped.