Why Production RAG Fails—And It's Not the Model's Fault

In production, RAG failures are almost always retrieval problems, not model problems—a critical finding that inverts conventional debugging approaches. Understanding the five failure modes in chunking, embeddings, and ranking is essential for organizations building reliable AI agents, as fixing retrieval infrastructure delivers far better results than scaling model capacity.