Agentic RAG vs. Naive RAG: When Your Retrieval System Should Think for Itself

Standard Retrieval-Augmented Generation (RAG) systems retrieve information once before generating an answer, which limits their effectiveness on complex queries requiring multi-step reasoning. Agentic RAG enhances this by enabling iterative retrieval and reasoning, allowing the system to refine searches and synthesize information from multiple sources for better responses.