How to Ship a Production-Ready RAG App with FAISS (Guardrails, Evals, and Fallbacks)

Most LLM applications look great in a high-fidelity demo. Then they hit the hands of real users and start failing in very predictable yet damaging ways. They answer questions they should not, they bre