Overview
NeMo Guardrails is an advanced open-source toolkit designed to enhance the safety, controllability, and reliability of large language model (LLM) based conversational systems. Developed by NVIDIA, this toolkit provides developers with a comprehensive framework for implementing programmable guardrails that can guide, moderate, and secure AI interactions.
Key Features
- Programmable guardrails across five dimensions: input, dialog, retrieval, execution, and output rails
- Support for multiple LLM models including OpenAI GPT, LLaMa-2, Falcon, and others
- Custom dialog flow modeling using Colang, a specialized language for conversation design
- Built-in guardrails for jailbreak detection, content moderation, and fact-checking
- Seamless integration with LangChain and other AI development frameworks
- Async-first Python API with both synchronous and asynchronous method support
Use Cases
- Building safe and controlled conversational AI assistants
- Implementing domain-specific chatbots with precise interaction guidelines
- Adding safety layers to retrieval-augmented generation (RAG) systems
- Creating secure LLM endpoints for customer interactions
- Developing enterprise-grade conversational AI with strict behavioral controls
Technical Specifications
- Python 3.9-3.11 compatibility
- Supports multiple LLM backends
- Colang 1.0 and 2.0 language support
- Modular configuration with YAML-based setup
- Apache 2.0 License
- Comprehensive CLI and server deployment options
