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patchy631/ai-engineering-hub

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patchy631/ai-engineering-hub has 41,388 GitHub stars and 6,614 forks. GitHot measured +131 stars in 24 hours, +2,640 in 7 days, and +2,974 in 15 days. Last checked 2026-11-07 16:34 UTC. Last push 2026-11-01.

この数値の測り方

LLM、RAG、現実の AI エージェント応用に関する詳細なチュートリアル。

計測したスター増加

24時間
+131
7日間
+2,640
15日間
+2,974
1か月
更新が遅れています

期間ごとの純増数です。期間は重複しており、日別の値ではありません。未計測の値は空欄です。スター数は注目度の指標であり、品質の保証ではありません。

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AI Engineering Hub Banner


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

📬 Stay Updated with Our Newsletter!

Get a FREE Data Science eBook 📖 with 150+ essential lessons in Data Science when you subscribe to our newsletter! Stay in the loop with the latest tutorials, insights, and exclusive resources. Subscribe now!

Daily Dose of Data Science Newsletter


🎓 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! 🎉

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