Retrieval-augmented generation done right — embeddings, chunking, re-ranking, hybrid search.
The RAG Playbook Most RAG demos work on day one and fall apart on day two. Here's how to build retrieval systems that scale. Chunking Strategy Fixed size chunks are the default and the worst choice. Use semantic chunking with overlap, and store the parent document for context expansion. Hybrid Retrieval Vector search alone misses keyword precise queries. Combine BM25 + vector + re ranker for production quality. Eval Setup Use synthetic Q&A pairs from your docs. Measure recall@K and answer faithfulness — not just LLM judge scores.