<ul data-eligibleForWebStory="false"><li>RAG, or Retrieval-Augmented Generation, is a method where an AI model retrieves info from a knowledge base to answer questions.</li><li>Agentic RAG goes beyond traditional RAG by not just providing info but also taking actions and being part of a system that can reason, plan, and act.</li><li>Agentic RAG distinguishes itself by not only retrieving info and answering questions but also by taking actions like calling tools/APIs and planning multi-step tasks.</li><li>While RAG gives information, Agentic RAG completes tasks such as summarizing trends, drafting a LinkedIn post, and suggesting posting times.</li></ul>

Don’t Stop at RAG. AGENTIC RAG Actually Gets Things Done

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