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Chat with Your Data ·Easy

Chat With YouTube Videos

About this app

LLM app with RAG to chat with YouTube Videos with OpenAI's gpt-4o, mem0/embedchain as memory and the youtube-transcript-api. The app uses Retrieval Augmented Generation (RAG) to provide accurate answers to questions based on the content of the uploaded video.

  • Complete open-source code
  • Step-by-step tutorial

Technical sheet

Category
Chat with Your Data
Difficulty
Easy
Models
OpenAI
Frameworks
-
Runs locally?
Needs cloud APIs
Required keys
None

License Apache-2.0 · content curated and maintained by Doutor AI.

Full tutorial

📽️ Chat with YouTube Videos

🎓 FREE Step-by-Step Tutorial

👉 Click here to follow our complete step-by-step tutorial and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.

LLM app with RAG to chat with YouTube Videos with OpenAI's gpt-4o, mem0/embedchain as memory and the youtube-transcript-api. The app uses Retrieval Augmented Generation (RAG) to provide accurate answers to questions based on the content of the uploaded video.

Features

  • Input a YouTube video URL
  • Ask questions about the content of the video
  • Get accurate answers using RAG and the selected LLM

How to get Started?

  1. Clone the GitHub repository
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/chat_with_X_tutorials/chat_with_youtube_videos
  1. Install the required dependencies:
pip install -r requirements.txt
  1. Get your OpenAI API Key
  • Sign up for an OpenAI account (or the LLM provider of your choice) and obtain your API key.
  1. Run the Streamlit App
streamlit run chat_youtube.py

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