Video-RAG-master
✨✨[NeurIPS 2025] This is the official implementation of our paper "Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension"
Enhance long video understanding by integrating various visual texts without needing to train models yourself.
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Free · no card · unsubscribe anytime✨✨[NeurIPS 2025] This is the official implementation of our paper "Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension"
Video-RAG-master has 446 stars on GitHub. It has been forked 43 times. Video-RAG-master is written mainly in Python. It has been in active development since 2024. Its main topics are long-video-understanding, multi-modal-large-language-model, plug-and-play, retrieval-augmented-generation.
What is Video-RAG-master?
✨✨[NeurIPS 2025] This is the official implementation of our paper "Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension"
Is Video-RAG-master open source?
Video-RAG-master is an open-source project.
Is Video-RAG-master free?
Yes. Video-RAG-master is free and open source — you can use, modify and self-host it.
What language is Video-RAG-master written in?
Video-RAG-master is written mainly in Python.
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