patchy631 /ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
★ 41,678⑂ 6,662👁 486⑃ 214● 54▤ 0◈ 0
41,678
stars
+141+755+3,398
6,662
forks
486
watchers
214
prs
54
issues
0
releases
0
discussions
README
--- 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 - Newsletter - Projects by Difficulty - Beginner Projects (22) - Intermediate Projects (48) - Advanced Projects (23) - Contributing - License --- 🎯 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! --- 🎓 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 - Local ChatGPT with DeepSeek - Mini-ChatGPT with DeepSeek-R1 and Chainlit - Local ChatGPT with Llama - ChatGPT clone using Llama 3.2 vision - Local ChatGPT with Gemma 3 - Local chat interface with Gemma 3 - DeepSeek Thinking UI - ChatGPT with visible reasoning using DeepSeek-R1 - Qwen3 Thinking UI - Thinking UI with Qwen3:4B and Streamlit - GPT-OSS Thinking UI - GPT-OSS with reasoning visualization - Streaming AI Chatbot - Real-time AI streaming with Motia framework Basic RAG - Simple RAG Workflow - Basic RAG with LlamaIndex and Ollama - Document Chat RAG - Chat with documents using Llama 3.3 - Fastest RAG Stack - Fast RAG with SambaNova, LlamaIndex, and Qdrant - GitHub RAG - Chat with GitHub repos locally - ModernBERT RAG - RAG with ModernBert embeddings - Llama 4 RAG - RAG powered by Meta's Llama 4 Multimodal & Media - Image Generation with Janus-Pro - Local image generation with DeepSeek Janus-pro 7B - Video RAG with Gemini - Chat with videos using G
Top issues
#234mcp_rl.ipynb file dependecy error in google colab2 comments · 2026-03-29#200Notebook fails to render on GitHub with “Invalid notebook” error2 comments · 2025-10-10#22Missing FireCrawlWebSearchTool()2 comments · 2025-01-08#269Security: replace eval/exec in Pixeltable MCP tools with a safe expression parser1 comments · 2026-10-30#254Your project is on StackMap — a curated map of the AI stack1 comments · 2026-07-23#145detailed Readme1 comments · 2025-06-24#107will voice_agent_openai work on google coalb?0 comments · 2025-04-03#7Error processing image:1 comments · 2024-12-04