# NeMo Guardrails

## Docs

- [Introduction](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/introduction.md): Add programmable guardrails to your LLM applications with NeMo Guardrails
- [Installation](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/installation.md): Install NeMo Guardrails and get started adding programmable guardrails to your LLM applications
- [Quickstart](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/quickstart.md): Build your first LLM application with programmable guardrails in minutes
- [Overview](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/concepts/overview.md): Introduction to programmable guardrails for LLM-based applications
- [Guardrail Types](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/concepts/guardrail-types.md): Understanding the five types of rails and when to apply them
- [Colang DSL](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/concepts/colang.md): Introduction to the Colang modeling language for defining guardrails and dialog flows
- [Architecture](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/concepts/architecture.md): Understanding the event-driven runtime and guardrails processing pipeline
- [Configuration Overview](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/configuration/overview.md): Learn how to configure NeMo Guardrails for your LLM applications
- [config.yml Schema](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/configuration/config-yaml.md): Complete reference for the config.yml configuration file
- [Rails Definition](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/configuration/rails-definition.md): Define custom guardrails using Colang syntax in .co files
- [Custom Actions](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/configuration/custom-actions.md): Create custom Python actions for your guardrails
- [LLM Configuration](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/configuration/llm-configuration.md): Configure different LLM providers for NeMo Guardrails
- [Guardrails Library](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/guardrails/overview.md): Pre-built guardrails for protecting LLM applications from jailbreaks, hallucinations, sensitive data leaks, and unsafe content.
- [Input Rails](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/guardrails/input-rails.md): Validate and sanitize user inputs with jailbreak detection, content safety, and sensitive data protection.
- [Output Rails](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/guardrails/output-rails.md): Filter and validate LLM responses with hallucination detection, fact checking, and content safety.
- [Dialog Rails](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/guardrails/dialog-rails.md): Control conversation flows, enforce policies, and guide multi-turn interactions with dialog rails.
- [Retrieval Rails](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/guardrails/retrieval-rails.md): Validate retrieved knowledge and check facts against context in RAG pipelines.
- [Execution Rails](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/guardrails/execution-rails.md): Secure tool calls, validate action parameters, and control function execution with execution rails.
- [Jailbreak Detection](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/built-in/jailbreak-detection.md): Detect and block jailbreak attempts using heuristics or ML models
- [Content Safety](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/built-in/content-safety.md): Check user inputs and bot outputs for unsafe content using content moderation models
- [Topic Control](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/built-in/topic-control.md): Ensure conversations stay on-topic using topic safety models
- [Fact Checking](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/built-in/fact-checking.md): Verify bot responses against knowledge base content to prevent factual errors
- [Hallucination Detection](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/built-in/hallucination-detection.md): Detect hallucinations using self-consistency checking across multiple LLM responses
- [PII Detection](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/built-in/pii-detection.md): Detect and mask personally identifiable information in inputs, outputs, and retrieved content
- [Prompt Injection Detection](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/built-in/prompt-injection.md): Detect and mitigate injection attacks in bot outputs using YARA rules
- [Python API](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/usage/python-api.md): Using NeMo Guardrails programmatically through the Python API
- [Guardrails Server](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/usage/server.md): Deploy NeMo Guardrails as a REST API server with OpenAI-compatible endpoints
- [CLI Commands](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/usage/cli.md): Command-line interface tools for testing, development, and deployment
- [LangChain Integration](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/usage/langchain-integration.md): Integrate NeMo Guardrails with LangChain chains, agents, and runnables
- [Deployment Overview](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/deployment/overview.md): Overview of deployment options for NeMo Guardrails applications.
- [Docker Deployment](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/deployment/docker.md): Deploy NeMo Guardrails using Docker containers for consistent and isolated environments.
- [Production Deployment](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/deployment/production.md): Best practices and guidelines for deploying NeMo Guardrails in production environments.
- [Evaluation Overview](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/evaluation/overview.md): Overview of evaluation tools for measuring the accuracy and performance of NeMo Guardrails.
- [LLM Vulnerability Scanning](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/evaluation/vulnerability-scanning.md): Scan LLM applications for vulnerabilities using Garak and measure guardrails protection rates.
- [Evaluation Metrics](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/evaluation/metrics.md): Detailed guide to evaluation metrics and performance benchmarks for NeMo Guardrails.
- [LLMRails](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/api/llmrails.md): Main class for interacting with NeMo Guardrails
- [RailsConfig](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/api/railsconfig.md): Configuration class for NeMo Guardrails
- [Actions](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/api/actions.md): Action decorators and result types for custom actions
- [Exceptions](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/api/exceptions.md): Exception classes for error handling in NeMo Guardrails
- [Chat Completions API](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/api/server/chat-completions.md): OpenAI-compatible chat completions endpoint with guardrails
- [Streaming](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/api/server/streaming.md): Server-sent events streaming for chat completions
- [Server Configuration](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/api/server/configuration.md): Configure the NeMo Guardrails server
- [nemoguardrails server](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/api/cli/server.md): Start a NeMo Guardrails server
- [nemoguardrails chat](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/api/cli/chat.md): Start an interactive chat session with guardrails
- [nemoguardrails eval](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/api/cli/evaluate.md): Evaluate guardrail configurations
- [Colang 1.0 Introduction](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/colang/v1/introduction.md): Introduction to Colang 1.0, the modeling language for conversational guardrails in NeMo Guardrails
- [Colang 1.0 Syntax](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/colang/v1/syntax.md): Comprehensive syntax guide for Colang 1.0 including messages, flows, variables, and expressions
- [Colang 1.0 Flows](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/colang/v1/flows.md): Understanding flows, the core building blocks of conversational patterns in Colang 1.0
- [Colang 1.0 Examples](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/colang/v1/examples.md): Real-world Colang 1.0 examples from the NeMo Guardrails codebase
- [Colang 2.0 Overview](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/colang/v2/overview.md): Overview of Colang 2.0, the next-generation event-driven language for conversational guardrails
- [Colang 2.0 Getting Started](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/colang/v2/getting-started.md): Learn Colang 2.0 with hands-on examples from hello world to guardrails
- [Colang 2.0 Language Reference](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/colang/v2/language-reference.md): Complete reference for Colang 2.0 syntax, flows, events, actions, and standard library
- [Migrating from Colang 1.0 to 2.0](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/colang/v2/migration.md): Guide for converting Colang 1.0 configurations to Colang 2.x using the nemoguardrails convert tool
- [Basic RAG Example](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/examples/basic-rag.md): Learn how to implement Retrieval-Augmented Generation with NeMo Guardrails
- [Chatbot Assistant Example](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/examples/chatbot-assistant.md): Build a conversational assistant with guardrails and topical controls
- [Custom Guardrails Example](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/examples/custom-guardrails.md): Learn how to create custom input and output guardrails
- [Multi-Rail Configuration Example](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/examples/multi-rail-configuration.md): Combine multiple guardrails for comprehensive protection
- [Customer Support Bot Example](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/examples/customer-support.md): Build a production-ready customer support chatbot with comprehensive guardrails
- [QA System Example](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/examples/qa-system.md): Build a question-answering system with fact-checking and hallucination detection
- [Agentic Applications Example](https://mintlify.wiki/NVIDIA-NeMo/Guardrails/examples/agentic-applications.md): Build autonomous AI agents with guardrails and safety controls