Braintrust vs Haystack

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 Haystack instead if a composable pipeline architecture rooted in real search engineering heritage, not a generic wrapper matters more for your use case.

Choose Haystack if…

Best for developers building production RAG pipelines who want each processing step to be independently swappable, and its edge is a composable pipeline architecture rooted in real search engineering heritage, not a generic wrapper. A clean, production-ready framework, the community is smaller than LangChain's so expect fewer examples to reference. 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.