> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/guardrails/v0.24.0/configure-guardrails/colang/colang-1/tutorials/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/guardrails/_mcp/server.

# Colang 1.0 Tutorials

> Step-by-step tutorials for building guardrails with Colang 1.0 from Hello World to RAG.

This section contains tutorials for Colang 1.0.

> Step-by-step tutorials for building guardrails with Colang 1.0 from Hello World to RAG.

## Docs

- [Hello World](https://docs.nvidia.com/nemo/guardrails/v0.24.0/configure-guardrails/colang/colang-1/tutorials/1-hello-world.md): Create your first guardrails configuration to control greeting behavior with Colang 1.0.
- [Core Colang Concepts](https://docs.nvidia.com/nemo/guardrails/v0.24.0/configure-guardrails/colang/colang-1/tutorials/2-core-colang-concepts.md): Learn essential Colang concepts including messages, flows, context variables, and LLM integration.
- [Demo Use Case](https://docs.nvidia.com/nemo/guardrails/v0.24.0/configure-guardrails/colang/colang-1/tutorials/3-demo-use-case.md): Introduction to the ABC Bot example used throughout the Colang 1.0 tutorial series.
- [Input Rails](https://docs.nvidia.com/nemo/guardrails/v0.24.0/configure-guardrails/colang/colang-1/tutorials/4-input-rails.md): Add input rails to validate and filter user messages before LLM processing.
- [Output Rails](https://docs.nvidia.com/nemo/guardrails/v0.24.0/configure-guardrails/colang/colang-1/tutorials/5-output-rails.md): Add output rails to filter and validate LLM responses before returning to users.
- [Topical Rails](https://docs.nvidia.com/nemo/guardrails/v0.24.0/configure-guardrails/colang/colang-1/tutorials/6-topical-rails.md): Implement topical rails to keep conversations on-topic and prevent off-topic discussions.
- [Retrieval-Augmented Generation](https://docs.nvidia.com/nemo/guardrails/v0.24.0/configure-guardrails/colang/colang-1/tutorials/7-rag.md): Apply guardrails to RAG scenarios with knowledge base integration and fact checking.