Agentic RAG is the use of AI agents to facilitate retrieval augmented generation (RAG). Agentic RAG systems add AI agents to the RAG pipeline,to increase adaptability and accuracy. Compared to traditional RAG systems, agentic RAG allows large language models (LLMs) to conduct information retrieval from multiple sources and handle more complex workflows.
Agentic RAG extends traditional RAG by giving the LLM agency to decide when and how to retrieve information using external tools.
How it works
Query → LLM Agent → Tool Selection → (Web Search / APIs / Databases) → Context → LLM → Response
