RAG is Exploding: 58 New RAG Methods in 48 Hours - Hitchhiker's Guide to the RAG Galaxy

Explore a comprehensive tutorial on Retrieval-Augmented Generation (RAG) systems that guides both beginners and experts through the rapidly evolving RAG landscape. This 37-minute video from Discover AI presents "The Hitchhiker's Guide to the RAG Galaxy," explaining the evolution of RAG from classical systems to advanced multi-agent Knowledge Graph RAG reinforcement learning expected in 2025. Learn about 58 new RAG methods developed in just 48 hours, demonstrating the explosive growth in this field. The content references research by Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, Jinfeng Xiao, Zifeng Wang, Jimeng Sun, and Jiawei Han from the University of Illinois Urbana Champaign and Amazon, particularly their work showing that training search agents via reinforcement learning requires less data than commonly assumed.