groundedness

A practical guide to Linux- and CI-friendly RAG evaluation: measure retrieval recall@k, context precision@k, answer similarity, and latency to separate retriever vs generator issues, prevent regressions, and speed iteration. Includes deps install, a small JSONL dataset, a 100-line Python evaluator, Make-based CI gates, tuning k/embeddings/chunking, and optional faithfulness checks.