Common RAG Failure Cases (and How to Fix Them Quickly)

Retrieval-Augmented Generation (RAG) has become one of the most practical approaches for building domain-specific AI applications. By combining large language models (LLMs) with external knowledge sources, RAG systems can produce more grounded, up-to...