atad-tokyo/GST_EGOSERVE

VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos This is the PyTorch implementation for VideoRAG proposed in this paper: VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context VideosXubin Ren*, Lingrui Xu*, Long Xia, Shuaiqiang Wang, Dawei Yin, Chao Huang† * denotes equal contribution. † denotes corresponding author In this paper, we proposed a retrieval-augmented generation framework specifically designed for processing and… See the full description on the dataset page: https://huggingface.co/datasets/atad-tokyo/GST_EGOSERVE.