Braintrust vs Ragas

Choose Braintrust if…

Best for teams shipping LLM applications who need systematic proof that a prompt or model change actually improved quality, and its edge is integrates evaluation directly into CI/CD so evals run automatically on every change, not as a manual afterthought. Best-in-class for rigorous LLM evaluation workflows, real overkill for a simple single-prompt application. Lean toward Ragas instead if purpose-built metrics like Faithfulness measure specific RAG failure modes other eval tools don't target directly matters more for your use case.

Choose Ragas if…

Best for developers who need to evaluate RAG pipeline quality without large-scale human-labeled ground truth, and its edge is purpose-built metrics like Faithfulness measure specific RAG failure modes other eval tools don't target directly. The right tool once you need systematic RAG evaluation, it only covers evaluation, not the retrieval pipeline itself. Lean toward Braintrust instead if integrates evaluation directly into CI/CD so evals run automatically on every change, not as a manual afterthought matters more for your use case.