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NeMo Guardrails and Colang

NeMo Guardrails and Colang - Home NeMo Guardrails and Colang - Home

NeMo Guardrails and Colang

Table of Contents

Guardrails with Colang

  • Hello World
  • Core Colang Concepts
  • Demo Use Case
  • Input Rails
  • Output Rails
  • Topical Rails
  • Retrieval-Augmented Generation

Colang 2.0

  • Overview
  • What’s Changed
  • Getting Started
    • Hello World
    • Dialog Rails
    • Multimodal Rails
    • Input Rails
    • Interaction Loop
    • LLM Flows
    • Recommended Next Steps
  • Language Reference
    • Introduction
    • Event Generation & Matching
    • Working with Actions
    • Defining Flows
    • Working with Variables & Expressions
    • Flow control
    • Colang Standard Library (CSL)
      • Fundamental Core Flows (core.co)
      • Timing Flows (timing.co)
      • LLM Flows (llm.co)
      • Interactive Avatar Modality Flows (avatars.co)
      • Guardrail Flows (guardrails.co)
      • User Attention Flows (attention.co)
    • Make use of Large Language Models (LLM)
    • More on Flows
    • Python Actions
    • Development and Debugging
  • Getting Started
  • Recommended Next Steps

Recommended Next Steps#

The Colang 2.0 getting started guide introduced you to a basic Hello World example, and then goes into Dialog Rails, Input Rails, Multimodal Rails, and other Colang 2.0 concepts like Interaction Loop and LLM Flows.

This only scratches the surface of what can be achieved with Colang 2.0.

If you are an experienced developer and want to learn about the syntax and the various features in details, we recommend going through the Language Reference documentation.

Version 0.10.0 of NeMo Guardrails will add more examples including RAG and agents. Also it will bring support for the Guardrails Library, which will enable you to use any of the existing guardrails similar to Colang 1.0.

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LLM Flows

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Language Reference

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