Explore a quick guide to the AutoGen framework for handling multi-agent workflows in this 47-minute video. Learn how to use AutoGen to answer questions on the fly by tapping into Wikipedia for information, essentially implementing retrieval augmented generation (RAG) with a multi-agent approach. Dive into practical examples and code demonstrations to understand the implementation of multi-agent systems. Gain insights into function calling, LLM-app development, and multi-hop question answering. Access complementary resources including a detailed blog post, GitHub repository with code samples, and links to further learning materials. Follow along to enhance your skills in AI, Data Science, and Large Language Models, and discover how to leverage AutoGen for complex information retrieval and processing tasks.