Nvidia NeMo Guardrails Project

A comprehensive implementation of Nvidia NeMo Guardrails for AI safety and responsible AI development.

Overview

This project demonstrates the implementation of Nvidia NeMo Guardrails, a framework for building safer and more reliable AI applications. NeMo Guardrails provides tools and methodologies to ensure AI systems behave responsibly and safely.

Features

• Content Safety: Implement content filtering and safety checks
• Conversation Management: Control conversation flow and context
• Output Validation: Ensure AI outputs meet safety and quality standards
• Custom Rails: Define custom safety rules and constraints
• Monitoring: Track and monitor AI system behavior

Project Structure

nvidia-nemo/
├── docs/                    # Documentation
├── .github/                 # GitHub workflows and templates
├── .copilot/                # GitHub Copilot configuration
├── .cursor/                 # Cursor IDE configuration
├── src/                     # Source code
├── examples/                # Example implementations
├── tests/                   # Test files
├── requirements.txt         # Python dependencies
├── setup.py                 # Package setup
└── README.md               # This file

Quick Start

1. Install Dependencies:

   pip install -r requirements.txt

2. Setup Environment:

   export OPENAI_API_KEY="your-api-key"

3. Run Examples:

   python examples/basic_guardrails.py

Documentation

• Project Plan - Detailed project roadmap and milestones
• API Reference - Complete API documentation
• Examples - Working examples and tutorials

Contributing

Please read our Contributing Guidelines before submitting pull requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

For support and questions, please open an issue in the GitHub repository or refer to the documentation.