VideoRAG: Retrieval-Augmented Generation over Video Corpus
-
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.
Add a description, image, and links to the videorag topic page so that developers can more easily learn about it.
To associate your repository with the videorag topic, visit your repo's landing page and select "manage topics."