How Retrieval-Augmented Generation is evolving into Self-RAG and Agentic RAG Systems Retrieval-Augmented Generation (RAG) has become one of the most widely used techniques in enterprise AI systems. It combines large language models with external knowledge sources, enabling more grounded and context-aware outputs. For many applications, especially those involving static documents or FAQs, RAG offers a…