What Does a Production RAG System Need? Vector Search, Chunking, Guardrails, and Cost Controls

Building a toy Retrieval-Augmented Generation (RAG) prototype takes less than an afternoon using LangChain or LlamaIndex. Taking that system into production—where it must process thousands of enterprise documents, enforce multi-tenant access controls, eliminate hallucinations, and keep API token bills under control—is a completely different...