Event-Causal RAG: A Retrieval-Augmented Generation Framework for Long Video Reasoning in Complex Scenarios
The episode discusses 'Event-Causal RAG,' a framework for long video reasoning. The hosts explain how it replaces fixed clip memory with structured State-Event-State triplets, building a Global Event Knowledge Graph (EKG). This allows AI to reconstruct causal chains and understand narrative flow over vast amounts of video data.