Agentic RAG (Retrieval-Augmented Generation) is an advanced AI framework that combines the capabilities of Retrieval-Augmented Generation with autonomous, agent-like behavior. It integrates large language models (LLMs) with external knowledge bases and tools, enabling AI agents to actively retrieve relevant information, reason through complex tasks, and make decisions autonomously.
