RAG for developers: what actually matters in production

A developer who built a production RAG system over 46,000 chunks found naive RAG achieves only 35.2% recall@5, meaning correct passages are missing for two-thirds of queries. The system still answers confidently with fabrications, making it worse than useless without measurement. The article emphasizes building a test set before optimizing chunking, embeddings, or retrieval.