VideoRAG
Retrieval-Augmented Generation framework for extremely long-context videos.
byXubin Ren, Lingrui Xu, Long Xia, Shuaiqiang Wang, Dawei Yin, Chao Huang
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Description
VideoRAG is a retrieval-augmented generation framework designed for processing and understanding extremely long-context videos. It utilizes a dual-channel architecture that integrates graph-based textual knowledge grounding with multi-modal context encoding, allowing it to handle videos of virtually unlimited length.
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