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hallengray merged 2 commits into from
Sep 24, 2026
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docs(readme): note ragas optional extra install for --evaluator ragas #44

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docs(readme): note ragas optional extra install for --evaluator ragas
hallengray Sep 24, 2026
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docs(readme): quote ragas extra specifier for zsh
hallengray Sep 24, 2026
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -129,7 +129,7 @@ There are great tools in this space. Here's an honest look at where each fits.

**Peer strengths worth knowing:**

- **RAGAS** has deeper metric research and a large community. RAG-Forge's evaluator supports RAGAS as a backend — run `rag-forge audit --evaluator ragas` to use it directly.
- **RAGAS** has deeper metric research and a large community. RAG-Forge's evaluator supports RAGAS as a backend — install the optional extra (`pip install 'rag-forge-evaluator[ragas]'`) and run `rag-forge audit --evaluator ragas` to use it directly.
- **LangChain Eval** has the broadest ecosystem of integrations if you're already invested in LangChain.
- **Giskard** has a strong general-purpose ML testing story beyond RAG.

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