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A new OSS framework uses multi-objective Bayesian Optimization to efficiently search for Pareto-optimal RAG workflows, balancing cost, accuracy, and latency acr
by roma_glushko 1y ago
A new OSS framework uses multi-objective Bayesian Optimization to efficiently search for Pareto-optimal RAG workflows, balancing cost, accuracy, and latency across configurations that would be impossible to test manually.
- roma_glushko 1y agoUseful links: Github: https://github.com/datarobot/syftr https://github.com/datarobot/syftr Paper: https://arxiv.org/abs/2505.20266 https://arxiv.org/abs/2505.20266