Agentic Retrieval-Augmented Generation (RAG) merges data retrieval with autonomous reasoning to boost AI accuracy. It adapts in real time, selects optimal retrieval methods, and self-corrects errors. This approach enhances reliability in complex fields like legal research, medical diagnostics, and scientific analysis, where context and precision are essential for better decision-making.