Agentic RAG is an advanced AI framework enhancing the traditional Retrieval-Augmented Generation (RAG) pipelines by incorporating AI agents. These agents possess memory, planning, and tool capabilities to perform various actions beyond simple information retrieval. The architecture can range from single-agent systems acting as routers to complex multi-agent setups coordinating multiple specialists. This approach addresses the limitations of vanilla RAG by providing tools, multi-step retrieval, and validation, thereby improving response accuracy and robustness, while introducing potential latency and reliability issues inherent to LLMs.
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Fundamentals of Agentic RAG What is Agentic RAG? Agentic RAG vs. (Vanilla) RAG Implementing Agentic RAG Why are Enterprises Adopting Agentic RAG Summary Further Resources Ready to start building? Don't want to miss another blog post?Sort: