Learn to build advanced Agentic RAG (Retrieval-Augmented Generation) pipelines in this 48-minute conference talk from MLCon. Discover how Agentic RAG represents the next evolution of intelligent information retrieval by empowering AI agents to autonomously refine queries, manage retrieval processes, and enhance the accuracy of generated responses beyond traditional RAG systems. Explore the fundamental differences between standard RAG and Agentic RAG approaches, understanding how intelligent agents improve accuracy, scalability, and adaptability in information retrieval tasks. Master practical implementation strategies for deploying Agentic RAG pipelines in real-world applications, gaining hands-on insights into building systems where AI agents can independently optimize query processing and response generation for more sophisticated and reliable AI-powered information systems.