This talk demystifies the evolution from traditional Retrieval-Augmented Generation (RAG) to Agentic RAG. We’ll explore how static, single-step retrieval systems are giving way to autonomous, goal-driven AI agents capable of planning, reasoning, tool usage, and self-correction. Through real-world architectures and design patterns, attendees will learn how to build scalable, secure, and enterprise-ready GenAI systems using Agentic RAG.