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Published : Oct 23, 2024
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
Oct 2024
Assess ?

Ragas 是一个框架,旨在评估 检索增强生成 (RAG) 流水线的性能,解决了评估这些系统中检索和生成组件的挑战。它提供了结构化的指标,如可靠性、答案相关性和上下文利用率,这些指标有助于评估基于 RAG 系统的有效性。我们的开发者发现,它在运行定期评估以微调参数(如 top-k 检索和嵌入模型)时非常有用。一些团队将 Ragas 集成到每天运行的流水线中,以便在提示模板或模型发生变化时进行评估。虽然它的指标提供了可靠的见解,但我们担心该框架可能无法捕捉复杂 RAG 流水线的所有细微差别和复杂交互,因此建议考虑额外的评估框架。尽管如此,Ragas 在生产环境中简化 RAG 评估的能力使其脱颖而出,为数据驱动的改进提供了宝贵的支持。

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