A powerful RAG (Retrieval-Augmented Generation) application built with Langchain, Ollama, and Pinecone.
This app allows users to interact with any YouTube video (even those over 3 hours long) by asking questions and receiving answers.
- Macbook Pro 16" - 1728 x 1121
- iPad Pro 11" - 834 x 1198
- iPhone 15 Pro Max - 430 x 1197
Below is an overview of the RAG architecture used in this project.
I’m currently working on turning this notebook into a full-stack application.
- Turn the notebook into a RESTful API (FastAPI + MySQL)
- Create a web client (React)
🚧🏗️👷 In the process of developing...