XynaxDev/youtube-rag-system

A professional Retrieval-Augmented Generation (RAG) system for YouTube videos. Features timestamp-preserving analysis, smart intent routing (Summary vs. Detailed Q&A), and multi-video comparison capabilities. Built with LangChain, ChromaDB, and Gemini/Ollama for deep semantic understanding of video content.

13
/ 100
Experimental
No License No Package No Dependents
Maintenance 10 / 25
Adoption 0 / 25
Maturity 3 / 25
Community 0 / 25

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TypeScript

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Category

video-content-rag

Last pushed

Mar 06, 2026

Commits (30d)

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GitHub
Video Content Rag · 12 tools

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