NeMo Guardrails by Nvidia | AI Agents

Agent orchestration

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By Nvidia

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.

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.

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