NVIDIA NeMo Guardrails is an advanced AI guardrail orchestration platform specifically designed to enhance the safety and reliability of generative AI applications, particularly those utilizing large language models (LLMs). This platform is particularly useful for developers who wish to build trustworthy AI systems, as it provides robust mechanisms to ensure that AI interactions remain safe, secure, accurate, and relevant to the intended topics. By implementing guardrails, developers can mitigate risks associated with AI-generated content, making NeMo Guardrails a pivotal tool in the landscape of AI application development.
Features
NeMo Guardrails offers a range of features tailored to support developers in creating safe and reliable AI applications. Below is an overview of its key features:
| Feature | Description |
|---|---|
| AI Guardrail Orchestration | Supports topical, safety, and security guardrails to ensure focused and safe interactions. |
| Programmable Guardrails | Allows developers to set specific rules that govern LLM behavior. |
| User-Defined and Interpretable Guardrails | Enables the design of transparent guardrails based on unique project requirements. |
| Seamless Integration with LLM Providers | Enforces deterministic dialogue paths for predictable user interactions. |
| Retrieval Augmented Generation (RAG) Support | Ensures relevance and accuracy in responses generated from retrieved data. |
| Sandbox Environment | Allows risk-free experimentation with AI models without affecting production systems. |
| Risk Dashboard | Monitors AI model usage to identify and mitigate potential risks continuously. |
| Extensive Ecosystem Support | Compatible with popular frameworks like LangChain and LlamaIndex, among others. |
Use cases
NVIDIA NeMo Guardrails can be utilized in various applications to enhance the reliability and safety of AI interactions. Here are some practical use cases:
- Customer Support Bots: In customer support scenarios, NeMo Guardrails can enforce protocols such as account verification before proceeding with sensitive transactions, ensuring both security and consistency in user interactions.
- Automated Systems: For applications where predictability is crucial, such as interactive voice response (IVR) systems, NeMo Guardrails can ensure that dialogue paths are deterministic, providing users with reliable and expected responses.
How to get started
To begin using NVIDIA NeMo Guardrails, developers can explore the available resources including documentation, user guides, and examples. These resources provide a comprehensive introduction to the platform, highlighting security guidelines and evaluation tools. Additionally, developers can access an introductory blog that simplifies the process of building trustworthy LLM applications with AI guardrails. For visual learners, a YouTube walkthrough is available, demonstrating how to build conversational AI or chatbots using NeMo Guardrails.
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NVIDIA NeMo Guardrails Pricing Information
The pricing for NVIDIA NeMo Guardrails is part of an NVIDIA AI Enterprise subscription and varies based on factors like the deployment environment, number of nodes, and desired support level. The exact cost is not publicly disclosed, so specific prices cannot be listed.