NVIDIA NeMo Guardrails
An open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Overview
NVIDIA NeMo Guardrails is an open-source toolkit that enables developers to add programmable guardrails to their LLM-based conversational applications. These guardrails help control the output of a large language model, such as preventing it from discussing certain topics, responding in a specific way, or following a predefined dialog path.
✨ Key Features
- Programmable Policies for content moderation, PII detection, and topic relevance
- Effective Orchestration of multiple rails with low latency
- Jailbreak Detection
- Integration with frameworks like LangChain and LlamaIndex
- Support for multi-agent deployments
🎯 Key Differentiators
- Uses Colang to define a state machine for conversational flows
- Integrates with the NVIDIA NeMo software suite
- Leverages GPU acceleration for low-latency performance
Unique Value: Provides a flexible and powerful open-source solution for building safe and reliable conversational AI systems.
🎯 Use Cases (3)
✅ Best For
- Used for question answering over a set of documents, domain-specific assistants, and adding safety to LangChain chains.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- NA
🏆 Alternatives
Offers a more structured, state-machine-based approach to defining conversational guardrails compared to other validation-focused frameworks.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: Open-source and free to use.
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