VideoRAG: Retrieval-Augmented Generation over Video Corpus
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Updated
Mar 17, 2025 - Python
VideoRAG: Retrieval-Augmented Generation over Video Corpus
Query on Videos from YT by providing the URL Drop a YouTube URL, and I’ll handle the rest: - QA on the video - Timestamps & frames for answers - Precise answers delivered
This project aims to build a VideoRAG system capable of answering natural language queries over a large collection of videos. This requires a multimodal approach to indexing, where video content is processed and made searchable through a combination of visual and auditory information.
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