ai-engineering-hub

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

Installation

Run this command in your terminal to add the MCP server to Claude Code.

Run in terminal:

Command

claude mcp add --transport stdio patchy631-ai-engineering-hub node path/to/server.js

How to use

The AI Engineering Hub is a comprehensive resource designed for learning and building with AI technologies. It offers over 93 production-ready projects that cater to various skill levels, from beginners to advanced practitioners. Users can explore in-depth tutorials on topics such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents. The projects are categorized by difficulty, allowing users to start with simple implementations and gradually progress to more complex systems. Each project includes detailed instructions and examples to help users implement and adapt the solutions for their own needs.

How to install

To get started with the AI Engineering Hub, follow these steps:

Clone the repository:

git clone https://github.com/patchy631/ai-engineering-hub.git
cd ai-engineering-hub

Install dependencies: If you are using Node.js, run:
```
npm install
```
If you are using Python, ensure you have the necessary packages installed as specified in the requirements.
Run the server: To start the server, use:
```
node path/to/server.js
```
Replace 'path/to/server.js' with the actual path to the server file.

Additional notes

Make sure you have Node.js installed on your machine to run the server. If you encounter issues, check the project's GitHub issues page for common problems and solutions. Additionally, consider subscribing to the newsletter for updates on new projects and tutorials. Environment variables may be required for certain projects, so refer to the individual project documentation for specifics.