Efficient Incremental Retrieval Augmented Generation System for Interactive Querying of Large Video Repositories

iRAG, an incremental workflow-based retrieval augmented generation system, enables efficient interactive querying of large video repositories by quickly indexing the video content and performing query-aware, on-demand extraction of additional details to provide high-quality responses from a large language model.