HKUDS/VideoRAG
[KDD'2026] "VideoRAG: Chat with Your Videos"
Combines visual content, audio, and text through a graph-driven knowledge indexing approach to enable retrieval-augmented generation over videos of extreme length—supporting hundreds of hours on a single GPU. Integrates with multi-modal LLMs for natural language question-answering and provides a cross-platform desktop application (macOS, Windows, Linux) with drag-and-drop video upload, multi-video analysis, and research-grade evaluation on the LongerVideos benchmark dataset containing 134+ hours of diverse content.
2,782 stars. Actively maintained with 1 commit in the last 30 days.
Stars
2,782
Forks
387
Language
Python
License
—
Category
Last pushed
Jan 11, 2026
Commits (30d)
1
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