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AI · October 13, 2023

TT

Talk to YouTube – RAG for YouTube Videos

Hi HN, I built this little application for setting up RAG on Youtube video transcripts. I haven't seen a lot of RAG for multimodal use-cases so I thought this was interesting. It uses YoutubeDL to get transcripts and Vectara to set up the RAG system. It's multilingual so other languages besides english work as well. The answer produced by the LLM has references with timestamps to where its deriving information from from within the video. Right now the interface is a clunky terminal but I'm planning on adding a UI or maybe a voice I/O interface to the app. Full disclosure: I work at…

In plain words

Talk to YouTube is a retrieval-augmented generation tool that lets users ask questions about YouTube video content. It extracts transcripts from videos and uses Vectara to build a searchable knowledge base, supporting multiple languages. Answers include timestamped references showing exactly where in the video the information comes from. Currently operated through a terminal interface, it's designed for anyone wanting to extract and query information from YouTube videos without watching them in full.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hi HN, I built this little application for setting up RAG on Youtube video transcripts. I haven't seen a lot of RAG for multimodal use-cases so I thought this was interesting. It uses YoutubeDL to get transcripts and Vectara to set up the RAG system. It's multilingual so other languages besides english work as well. The answer produced by the LLM has references with timestamps to where its deriving information from from within the video. Right now the interface is a clunky terminal but I'm planning on adding a UI or maybe a voice I/O interface to the app. Full disclosure: I work at Vectara, but this was a personal/side-project!

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