RAG Failure Cases: When Retrieval Goes Wrong

Building a RAG (Retrieval Augmented Generation) system seems straightforward in theory: retrieve relevant documents, feed them to a language model, and get accurate responses. But anyone who's deployed RAG in production knows the reality is messier. ...