Building blocks for rapid development of GenAI applications

This project demonstrates how Guardrails can constrain or validate LLM output, handle JSON parsing, re-generate responses on failure (reask), and integrate custom validators.

Trustworthy question-answering AI plugin for chatbots in the social sector with advanced content performance analysis.

Short tutorial on using NVIDIA NeMo Guardrails

The Python SDK for Asteroid, the platform for make your AI agent safe and reliable

This repo hosts the Python SDK and related examples for AIMon, which is a proprietary, state-of-the-art system for detecting LLM quality issues such as Hallucinations. It can be used during offline evals, continuous monitoring or inline detection. We offer various model quality metrics that are fast, reliable and cost-effective.

A Python library for guardrail models evaluation.

AI Tool RAG System: LlamaIndex-powered discovery engine for AI tools with Telegram bot interface using NeMo Guardrails

guardrails-ai validator that supports cucumber-expressions (instead of: regex)

💂🏼 Build your Documentation AI with Nemo Guardrails

I ran an app with NVIDIA Guardrails to find out what it was.

Framework for LLM evaluation, guardrails and security

The Modelmetry Python SDK allows developers to easily integrate Modelmetry’s advanced guardrails and monitoring capabilities into their LLM-powered applications.

Demo showcase highlighting the capabilities of Guardrails in LLMs.

CSV validator for Guardrails AI

Using NVIDIA NeMo Guardrails with Amazon Bedrock via LangChain

E-commerce fashion assistant with Chatgpt, Hugging Face, Ltree and Pgvector.

We compared LangChain, Fixie, and Marvin