Modules

GitHub RAG Project: Supercharge Your AI Skills

Master cutting-edge AI techniques by building a powerful GitHub-powered RAG system

Welcome to the GitHub RAG Project, an exhilarating journey into the world of advanced AI techniques! 🚀 Are you ready to skyrocket your skills and become a sought-after AI developer? Look no further – this project is your ticket to mastering cutting-edge technologies that are reshaping the tech landscape.

What You'll Build

Imagine having an AI-powered assistant that understands your entire GitHub universe. That's exactly what you'll create in this project! You'll build a sophisticated Retrieval Augmented Generation (RAG) system that taps into your GitHub starred repositories.

chat-of-repos

Why This Project Matters

  1. Master RAG: Dive deep into Retrieval Augmented Generation, the technology behind some of the most impressive AI applications today. You'll learn how to combine the power of large language models with your own data for truly personalized AI experiences.

  2. Full-Stack AI Development: Get hands-on experience building a modern, distributed application using Next.js for the frontend and FastAPI for the backend. This architecture is increasingly popular in AI-driven applications.

  3. Vector Databases: Explore the fascinating world of vector embeddings and learn how to efficiently store and query them using PostgreSQL with pgvector.

  4. Real-world AI Integration: Implement the latest LLM Gateway approach, giving you flexibility to work with different language models and stay on the cutting edge of AI development.

  5. Production-Ready Skills: Learn how to monitor and optimize your AI application using tools like Helicone, essential skills for deploying AI in production environments.

What You'll Learn

  • AI Concepts: Embeddings, RAG, vector databases
  • Backend Development: FastAPI, PostgreSQL, pgvector, Supabase
  • Frontend Development: Next.js, React, Tailwind CSS
  • Authentication: Implement GitHub OAuth
  • AI Operations: Helicone for monitoring and optimization
  • Deployment: Production deployment strategies

Why These Skills Matter

The job market is hungry for developers who can build and deploy AI-powered applications. By completing this project, you'll gain hands-on experience with technologies that are in high demand:

  • RAG systems are becoming essential in knowledge management and AI assistants
  • Full-stack development skills with Next.js and FastAPI are highly sought after
  • Understanding vector databases is crucial for many AI and machine learning applications
  • Experience with AI monitoring and optimization tools like Helicone sets you apart in the job market

Get Ready to Transform Your Career

By the end of this project, you'll have a impressive, full-featured AI application in your portfolio. More importantly, you'll have the skills and confidence to tackle advanced AI projects in your career.