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ai-engineering-hub

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Install / Use

claude mcp add patchy631 -- npx -y github:patchy631/ai-engineering-hub

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

88/100

Supported Platforms

Claude Code
Claude Desktop

Tags

<p align="center"> <a href="https://trendshift.io/repositories/12800"> <img src="assets/TRENDING-BADGE.png" alt="Trending Badge" style="width: 250px; height: 55px;" width="250" height="55"/> </a> </p> <p align="center"> <img src="assets/ai-eng-hub.gif" alt="AI Engineering Hub Banner"> </p>

AI Engineering Hub 🚀

Welcome to the AI Engineering Hub - your comprehensive resource for learning and building with AI!

🌟 Why This Repo?

AI Engineering is advancing rapidly, and staying at the forefront requires both deep understanding and hands-on experience. Here, you will find:

  • 93+ Production-Ready Projects across all skill levels
  • In-depth tutorials on LLMs, RAG, Agents, and more
  • Real-world AI agent applications
  • Examples to implement, adapt, and scale in your projects

Whether you're a beginner, practitioner, or researcher, this repo provides resources for all skill levels to experiment and succeed in AI engineering.


📋 Table of Contents


🎯 Getting Started

New to AI Engineering? Start here:

  1. Complete Beginners: Check out the AI Engineering Roadmap for a comprehensive learning path
  2. Learn the Basics: Start with Beginner Projects like OCR apps and simple RAG implementations
  3. Build Your Skills: Move to Intermediate Projects with agents and complex workflows
  4. Master Advanced Concepts: Tackle Advanced Projects including fine-tuning and production systems

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🎓 Projects by Difficulty

🟢 Beginner Projects

Perfect for getting started with AI engineering. These projects focus on single components and straightforward implementations.

OCR & Vision

  • LaTeX OCR with Llama - Convert LaTeX equation images to code using Llama 3.2 vision
  • Llama OCR - 100% local OCR app with Llama 3.2 and Streamlit
  • Gemma-3 OCR - Local OCR with structured text extraction using Gemma-3
  • Qwen 2.5 OCR - Text extraction using Qwen 2.5 VL model

Chat Interfaces & UI

Basic RAG

Multimodal & Media

Other Tools


🟡 Intermediate Projects

Multi-component systems, agentic workflows, and advanced features for experienced practitioners.

AI Agents & Workflows

Voice & Audio

Advanced RAG

Multimodal

MCP (Model Context Protocol)

Model Comparison & Evaluation


🔴 Advanced Projects

Complex systems, fine-tuning, production deployments, and cutting-edge implementations.

Fine-tuning & Model Development

Advanced Agent Systems

Advanced MCP & Infrastructure

Production Systems

Learning Resources


📢 Contribute to the AI Engineering Hub!

We welcome contributors! Whether you want to add new tutorials, improve existing code, or report issues, your contributions make this community thrive. Here's how to get involved:

  1. Fork the repository
  2. Create a new branch for your contribution
  3. Submit a Pull Request and describe the improvements

Check out our contributing guidelines for more details.


📜 License

This repository is licensed under the MIT License - see the LICENSE file for details.


💬 Connect

For discussions, suggestions, and more, feel free to create an issue or reach out directly!

Happy Coding! 🎉

Related Skills

View on GitHub
GitHub Stars37.9k
CategoryAI
Updated11d ago
Forks6.2k

Languages

Jupyter Notebook

Security Score

95/100

Audited on Sep 10, 2026

1 low