VideoRAG: How Machines Finally Crack Extreme Long-Context Video Understanding

VideoRAG & Vimo: Cracking the Code of Extreme Long-Context Video Understanding Core Question: Why do existing video AI models fail when faced with hundreds of hours of footage, and how does the VideoRAG framework finally enable machines to chat with videos of any length? When we first attempted to analyze a 50-hour university lecture series on AI development, our state-of-the-art video model choked after the first three hours. It was like trying to understand an entire library by reading random pages from three books. That’s when we realized the fundamental flaw: current video understanding approaches treat long videos as isolated …