Common Failure Cases in Retrieval-Augmented Generation (RAG) and How to Fix Them

Retrieval-Augmented Generation (RAG) has become one of the most popular techniques in modern AI applications. It combines retrievers (that fetch relevant context from external sources like vector databases) with generators (large language models that...