codenamev/ruby-ai-search-training

AI Powered Search Training! These are the labs to go with our comprehensive training course.

Ruby AI Training - Exercises for the Course

This repository contains IRuby Jupyter notebooks and data for AI search training.

Setup & Running

Prerequisites

• Docker Desktop installed on your machine
• At least 4vCPUs, 6GB RAM, and 50GB disk allocated to Docker
• Git (to clone this repository)

Running the Container

1. Clone the repository:

git clone https://github.com/thedayisntgray/ruby-ai-search-training
cd https://github.com/thedayisntgray/ruby-ai-search-training

2. Start the container:

docker compose up

Accessing Jupyter Notebook

1. Get the Jupyter access token by running:

docker compose logs jupyter

2. Look for a line that looks like:

http://127.0.0.1:8888/lab?token=<your_token_here>

3. Open your browser and go to:
   • http://localhost:8888
   • Copy and Paste the token from the logs when prompted

Project Structure

.
├── docker-compose.yml
├── notebooks/          # Jupyter notebooks
└── data/              # Data files

Common Commands

# Start the containers while logging to the terminal
docker compose up

# Start the containers in daemon mode (everything will run in the background)
docker compose up -d

# Stop the container
docker compose down

# View logs
docker compose logs jupyter

# Restart the containers
docker compose restart

# Rebuild the containers
docker compose build

Troubleshooting

If you can't access Jupyter:

1. Ensure the container is running:

docker compose ps

2. Check container logs:

docker compose logs jupyter

3. Verify port 8888 is available:

lsof -i :8888

Adding Content

• Place notebooks in the notebooks/ directory
• Place data files in the data/ directory
• Files will automatically sync with the container