patchy631/ai-engineering-hub

Project overview

A collection of 93+ production-ready projects and tutorials spanning beginner to advanced AI engineering topics, including large language models, retrieval-augmented generation, and agents. It functions as a structured learning repository rather than a single deployable software application, requiring users to navigate and run individual projects locally.

Project type

MCP · AI Agent · RAG

Use cases

Learning & Education

Deployment

Refer to project documentation

License

MIT

Best for

• Developers and AI engineers seeking project-based, hands-on learning resources across a spectrum of complexities.
• Researchers looking for practical implementations of multimodal applications, agentic workflows, and Model Context Protocol integrations.

Key capabilities

• Includes multi-component systems, agentic workflows, advanced retrieval-augmented generation, multimodal applications, and Model Context Protocol implementations.
• Contains complex systems, fine-tuning, production deployments, advanced agent systems, and underlying infrastructure.
• Provides a complete guide from Python to production AI.

Limitations and risks

• Because of the project-based structure, setup difficulty is medium and implies independent configuration and dependency installation per project.
• Hardware requirements such as GPU availability, operating system compatibility, and data boundary constraints are not documented.

Getting started

• Setup requires cloning the repository, navigating to a desired project directory, installing dependencies, and running the project.

Evidence and sources

• GitHub project description: In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
• GitHub repository metadata: {"primary_language":"Jupyter Notebook"}
• README: Whether you're a beginner, practitioner, or researcher, this repo provides resources for all skill levels to experiment and succeed in AI engineering.
• README: Perfect for getting started with AI engineering. These projects focus on single components and straightforward implementations.
• README: - [**Streaming AI Chatbot**](./streaming-ai-chatbot) - Real-time AI streaming with Motia framework

Reviewed at: 2026-07-17T09:06:50Z