Agentic RAG

Agentic RAG is an advanced artificial intelligence (AI) approach that combines retrieval-augmented generation (RAG) with autonomous agent behavior. Unlike traditional RAG, which retrieves data and generates a single response, agentic RAG enables the AI to plan, reason, and take multistep actions such as asking follow-up queries, refining search results, or chaining tasks, before generating a final output. This makes it more dynamic, goal-oriented and capable of handling complex workflows or decision-making processes. It’s especially useful in scenarios like research automation, customer support, and enterprise knowledge tasks that require iterative thinking and real-time adaptation.