This workshop will explore the exciting world of Large Language Models and Retrieval Augmented Generation (RAG) applications in building intelligent agents using the powerful AutoGen framework. Attendees will explore the fundamentals of RAG and understand how it combines the strengths of Large Language Models (LLMs) with external knowledge sources. We will then move into agents, discussing their capabilities and how RAG empowers them to perform complex tasks. The workshop will produce hands-on sessions where participants will build their Agentic RAG systems, starting with single-agent implementations and progressing to multi-agent RAG systems. Program: ●Understand the principles of RAG and its role in enhancing LLMs. ●Learn about intelligent agents and their different applications. ●Learn Autogen framework. ●Gain hands-on experience building Agentic RAG systems using AutoGen. ●Develop skills in creating multi-agent RAG systems for complex tasks.