AutoGen vs Ragas

Choose AutoGen if…

Best for developers building multi-agent systems that need iterative back-and-forth reasoning between agents, and its edge is the human proxy pattern makes it straightforward to build supervised, not fully autonomous, multi-agent workflows. Strong for complex research and coding tasks, now in maintenance mode, check whether the AG2 fork better fits new projects. 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 AutoGen instead if the human proxy pattern makes it straightforward to build supervised, not fully autonomous, multi-agent workflows matters more for your use case.