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Unlocking the Power of AI Engineering: A Comprehensive Resource for Building and Learning with AI

The field of AI engineering is rapidly advancing, and staying at the forefront requires both a deep understanding of the underlying concepts and hands-on experience with real-world applications. The AI Engineering Hub, a comprehensive resource available on GitHub, provides a one-stop-shop for learning and building with AI. With over 93 production-ready projects across all skill levels, in-depth tutorials on LLMs, RAG, Agents, and more, and real-world AI agent applications, this repository is an invaluable resource for both beginners and experienced practitioners.

Getting Started with AI Engineering

New to AI engineering? Start here:

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

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Projects by Difficulty

The AI Engineering Hub offers a wide range of projects, categorized by difficulty level, to suit the needs of learners and practitioners of all skill levels.

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 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

Intermediate Projects

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 Projects

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

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: