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RagaAI

For agents: RagaAI: end-to-end testing and evaluation platform for GenAI, with docs for RagaAI Catalyst, API key setup, and supported LLM integrations.

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# RagaAI

## RagaAI

- [Welcome](https://docs.raga.ai/readme.md): Introduction of the RagaAI - An end to end testing platform for GenerativeAI and DiscriminativeAI models - LLM, Computer Vision, NLP and Tabular Data.
- [RagaAI Catalyst](https://docs.raga.ai/ragaai-catalyst.md): The automated AI evaluation platform to build safe, reliable and cost efficient GenAI applications.
- [User Quickstart](https://docs.raga.ai/ragaai-catalyst/user-quickstart.md): This guide will help you get started with RagaAI Catalyst using any sample dataset, straight from the RagaAI GUI or the Python environment.
- [Concepts](https://docs.raga.ai/ragaai-catalyst/concepts.md): RagaAI Catalyst Concepts – GenAI Evaluation & Observability Overview
- [Configure Your API Keys](https://docs.raga.ai/ragaai-catalyst/concepts/configure-your-api-keys.md): Set API keys for your LLM models to enable metric evaluations on the Catalyst platform. If you're trying to set up a custom gateway, refer the "Enable Custom Gateway" page.
- [Supported LLMs](https://docs.raga.ai/ragaai-catalyst/concepts/supported-llms.md): Supported LLMs – Compatible Models in RagaAI Catalyst
- [OpenAI](https://docs.raga.ai/ragaai-catalyst/concepts/supported-llms/openai.md): OpenAI Integration – RagaAI Catalyst Supported LLM
- [Gemini](https://docs.raga.ai/ragaai-catalyst/concepts/supported-llms/gemini.md): Google Gemini – RagaAI Catalyst Supported LLM
- [Azure](https://docs.raga.ai/ragaai-catalyst/concepts/supported-llms/azure.md): Azure OpenAI – RagaAI Catalyst Supported LLM
- [AWS Bedrock](https://docs.raga.ai/ragaai-catalyst/concepts/supported-llms/aws-bedrock.md): AWS Bedrock – RagaAI Catalyst Supported LLM
- [ANTHROPIC](https://docs.raga.ai/ragaai-catalyst/concepts/supported-llms/anthropic.md): Anthropic Claude – RagaAI Catalyst Supported LLM
- [Catalyst Access/Secret Keys](https://docs.raga.ai/ragaai-catalyst/concepts/catalyst-access-secret-keys.md): Generate access and secret keys and quickly integrate Catalyst within your application's SDK flow.
- [Enable Custom Gateway](https://docs.raga.ai/ragaai-catalyst/concepts/enable-custom-gateway.md): Run metric evaluations on your own LLM models, even if you use a custom gateway.
- [Uploading Data](https://docs.raga.ai/ragaai-catalyst/concepts/uploading-data.md): Understand the process of creating a new project and importing your dataset, including file format requirements and tips to prepare your data for effective LLM testing in the platform.
- [Create new project](https://docs.raga.ai/ragaai-catalyst/concepts/uploading-data/create-new-project.md): Get started on evaluations by creating use-cases specific projects
- [RAG Dataset](https://docs.raga.ai/ragaai-catalyst/concepts/uploading-data/rag-datset.md): Once your project is created, you can upload datasets to it for evaluation.
- [Chat Dataset](https://docs.raga.ai/ragaai-catalyst/concepts/uploading-data/chat-dataset.md): Guide for uploading chat datasets to RagaAI Catalyst
- [Prompt Format](https://docs.ra
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