AI/ML with Ruby

A collection of Ruby examples and utilities for working with various AI and Machine Learning tools and APIs.

Overview

This repository contains a series of Ruby scripts demonstrating integration with different AI providers and tools. It serves as both a reference and a practical guide for developers looking to incorporate AI capabilities into their Ruby applications.

Contents

This repository includes examples for working with:

• OpenAI - Examples of using GPT models via the OpenAI API
• Ollama - Local LLM integration with Ollama
• Perplexity - Using Perplexity AI in Ruby
• Groq - High-performance AI with Groq's API
• Mistral AI - Examples with Mistral models
• LangChain - Ruby implementation of LangChain concepts
• Combined approaches - Examples showing how to integrate multiple AI providers

Requirements

• Ruby 3.0+
• Required gems (specific to each example)
• API keys for various services (OpenAI, Perplexity, Groq, Mistral, etc.)

Installation

1. Clone this repository:

   git clone https://github.com/shanko/ai_ml_ruby.git
   cd ai_ml_ruby
   

2. Install required gems:

   # Install specific gems needed for the examples you wish to run
   # gem install openai
   # gem install langchain
   # etc.
   

3. Set up your API keys as environment variables (recommended) or within the scripts for testing purposes.

Usage

Each Ruby file in this repository demonstrates a specific AI integration or concept:

• 01_perplexity.rb - Working with Perplexity AI
• 02_gpt_4o.rb - Using OpenAI's GPT-4o model
• 03_ollama_ai.rb - Local LLM integration with Ollama
• 04_openai.rb - Basic OpenAI API integration
• 05_openai_ollama.rb - Combining OpenAI and Ollama
• 06_granite_guardian.rb - Granite Guardian example
• 07_ruby_llm.rb - Ruby LLM utilities
• 08_groq_ai.rb - Groq API integration
• 09_mistral_ai.rb - Mistral AI examples
• 10_groq_response.rb - Working with Groq responses
• 11_langchain.rb - LangChain in Ruby
• 12_lc_image.rb - LangChain with image processing

To run any example:

ruby 01_perplexity.rb

Additional Resources

The repository includes supporting material:

• reading_material.md - Additional resources and documentation
• intro_to_ai_ml_tools.pdf - Introduction to AI/ML tools

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.