> For the complete documentation index, see [llms.txt](https://docs.raga.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.raga.ai/ragaai-catalyst/concepts/supported-llms/anthropic.md).

# ANTHROPIC

Anthropic Claude – RagaAI Catalyst Supported LLM

By integrating your Anthropic keys, you can unlock a range of powerful features in the platform, including:

1. **Generating responses to prompts in a dataset** – Automate the creation of text outputs (such as classification, summarisation, or creative writing) across large collections of data.
2. **Rapid experimentation in the Playground** – Quickly prototype, iterate, and test prompts in a user-friendly environment without the overhead of a production workflow.
3. **Using Large Language Models (LLMs) as a “judge” for metrics** – Leverage LLMs to evaluate and score the quality of generated outputs or compare different model outputs.
4. **Generating responses in production applications with guardrails** – Integrate LLM output directly into your product or system, while employing guardrails to ensure appropriate, safe, and reliable responses.