> 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.md).

# Supported LLMs

Supported LLMs – Compatible Models in RagaAI Catalyst

This page lists the Large Language Models (LLMs) that work with **RagaAI Catalyst**, how to connect them, and when to choose one provider over another. You’ll also find a quick compatibility matrix, limits to be aware of, and FAQs.

### How to connect a provider (2-minute setup)

* Go to **Settings → API Keys** in Catalyst.
* Click **Add Key**, choose the provider, and paste your API key or credentials.

### Choosing the right model

* **Rapid prototyping / lowest latency:** start with lightweight models (e.g., “mini/flash” tiers).
* **Complex reasoning / tool orchestration:** choose higher-end models (e.g., GPT-4.x, Claude 3.x).
* **Enterprise hosting requirements:** prefer **Azure OpenAI** or **AWS Bedrock**.
* **Long context / multimodal inputs:** consider **Gemini** or **Claude 3.x** with extended context windows.

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[OpenAI](/ragaai-catalyst/concepts/supported-llms/openai.md)
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[Gemini](/ragaai-catalyst/concepts/supported-llms/gemini.md)
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[Azure](/ragaai-catalyst/concepts/supported-llms/azure.md)
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[AWS Bedrock](/ragaai-catalyst/concepts/supported-llms/aws-bedrock.md)
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[ANTHROPIC](/ragaai-catalyst/concepts/supported-llms/anthropic.md)
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