RAG is Exploding 58 NEW RAG Methods in 48 hours
AI Summary
This video, titled “Rack Explained,” discusses the evolution and implementation of Retrieval-Augmented Generation (RAG) methodologies in AI as of May 2025. The presenter highlights the transition from monolithic large language models (LLMs) to multi-agent systems where retrieval and generation tasks can be optimized separately. With over 58 new AI research preprints in just two days, the video emphasizes the current advancements and challenges in RAG systems. A significant focus is placed on a new framework called S3, which decouples search agents from generator LLMs, allowing for enhanced performance even with less training data. The video concludes with reflections on the future of RAG and its implications in the AI research community, encouraging viewers to engage with the content through subscription.