patchy631/ai-engineering-hub — a trending Jupyter Notebook project

patchy631/ai-engineering-hub — Jupyter Notebook · 39,739 stars · 6,442 forks · +573 today

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

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

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.

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• Getting Started
• Newsletter
• Projects by Difficulty
  • Beginner Projects (22)
  • Intermediate Projects (48)
  • Advanced Projects (23)
• Contributing
• License

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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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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 Gemini AI

Other Tools

• Website to API with FireCrawl - Convert websites to APIs
• AI News Generator - News generation with CrewAI and Cohere
• Siamese Network - Digit similarity detection on MNIST

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

AI Agents & Workflows

• YouTube Trend Analysis - Analyze YouTube trends with CrewAI and BrightData
• AutoGen Stock Analyst - Advanced analyst with Microsoft AutoGen
• Agentic RAG - RAG with document search and web fallback
• Agentic RAG with DeepSeek - Enterprise agentic RAG with GroundX
• Book Writer Flow - Automated book writing with CrewAI
• Content Planner Flow - Content workflow with CrewAI Flow
• Brand Monitoring - Automated brand monitoring system
• Hotel Booking Crew - Multi-agent hotel booking with DeepSeek-R1
• Deploy Agentic RAG - Private Agentic RAG API with LitServe
• Zep Memory Assistant - AI Agent with human-like memory
• Agent with MCP Memory - Agents with Graphiti memory and Opik
• ACP Code - Agent Communication Protocol demo
• Motia Content Creation - Social media automation workflow

Voice & Audio

• Real-time Voice Bot - Conversational travel guide with AssemblyAI
• RAG Voice Agent - Real-time RAG Voice Agent with Cartesia
• Chat with Audios - RAG over audio files
• Audio Analysis Toolkit - Audio analysis with AssemblyAI
• Multilingual Meeting Notes - Auto meeting notes with language detection

Advanced RAG

• RAG with Dockling - RAG over Excel with IBM's Docling
• Trustworthy RAG - RAG over complex docs with TLM
• Fastest RAG with Milvus and Groq - Sub-15ms retrieval latency
• Chat with Code - Chat with code using Qwen3-Coder
• RAG SQL Router - Agent with RAG and SQL routing

Multimodal

• DeepSeek Multimodal RAG - MultiModal RAG with DeepSeek-Janus-Pro
• ColiVara Website RAG - MultiModal RAG for websites
• Multimodal RAG with AssemblyAI - Audio + vector database + CrewAI

MCP (Model Context Protocol)

• Cursor Linkup MCP - Custom MCP with deep web search
• EyeLevel MCP RAG - MCP for RAG over complex docs
• LlamaIndex MCP - Local MCP client with LlamaIndex
• MCP Agentic RAG - MCP-powered Agentic RAG for Cursor
• MCP Agentic RAG Firecrawl - Agentic RAG with Firecrawl
• MCP Video RAG - Video RAG using Ragie via MCP
• MCP Voice Agent - Voice agent with Firecrawl and Supabase
• SDV MCP - Synthetic Data Vault orchestration
• KitOps MCP - ML model management with KitOps
• Stagehand × MCP-Use - Web automation with Stagehand MCP

Model Comparison & Evaluation

• Evaluation and Observability - E2E RAG evaluation with CometML Opik
• Llama 4 vs DeepSeek-R1 - Compare models using RAG
• Qwen3 vs DeepSeek-R1 - Model comparison with Opik
• O3 vs Claude Code - Compare Claude 3.7 and o3
• Sonnet4 vs O4 - Code generation comparison
• Sonnet4 vs Qwen3-Coder - Coder model comparison
• Code Model Comparison - Frontier model code comparison
• GPT-OSS vs Qwen3 - Reasoning capabilities comparison

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

Fine-tuning & Model Development

• DeepSeek Fine-tuning - Fine-tune DeepSeek with Unsloth and Ollama
• Build Reasoning Model - Build DeepSeek-R1-like reasoning models
• Attention Is All You Need Implementation - Transformer architecture from scratch

Advanced Agent Systems

• NVIDIA Demo - Documentation writer with CrewAI Flows and NVIDIA NIM
• Documentation Writer Flow - Agentic documentation workflow
• Multi-Agent Deep Researcher - MCP-powered deep researcher
• Multiplatform Deep Researcher - Multi-platform research with BrightData
• Web Browsing Agent - Browser automation with CrewAI and Stagehand
• Paralegal Agent Crew - Intelligent paralegal with RAG
• FireCrawl Agent - Corrective RAG with web search fallback
• Context Engineering Workflow - Research assistant with TensorLake and Zep
• Parlant Conversational Agent - Compliance-driven conversational agent
• Stock Portfolio Analysis Agent - Portfolio analysis with React frontend
• Guidelines vs Traditional Prompt - Structured guidelines comparison

Advanced MCP & Infrastructure

• MindsDB MCP - Unified MCP for all data sources
• Financial Analyst DeepSeek - MCP financial analysis workflow
• Graphiti MCP - Persistent memory with Zep's Graphiti
• Pixeltable MCP - Unified multimodal data orchestration
• Ultimate AI Assistant - Multi-MCP server interface

Production Systems

• GroundX Document Pipeline - World-class document processing
• NotebookLM Clone - Full NotebookLM with RAG, citations, and podcasts

Learning Resources

• AI Engineering Roadmap - Complete guide from Python to production AI

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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.

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

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

Happy Coding! 🎉

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