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Custom Youtube QnA RAG app using LangChain, Ollama & Pinecone

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rag-llama3_1-youtube-qna-app

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.

Figma Prototypes

Web / Desktop App

  • Macbook Pro 16" - 1728 x 1121

Mobile App

  • iPad Pro 11" - 834 x 1198

  • iPhone 15 Pro Max - 430 x 1197

RAG Architecture

Below is an overview of the RAG architecture used in this project.

RAG architecture

Upcoming Features...

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...

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Custom Youtube QnA RAG app using LangChain, Ollama & Pinecone

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