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Component-Wise Evaluation¶
Just like in any machine learning system, the performance of individual components within the LLM and RAG pipeline has a significant impact on the overall experience. Ragas offers metrics tailored for evaluating each component of your RAG pipeline in isolation.
- Faithfulness
- Answer Relevance
- Context Precision
- Context utilization
- Context Recall
- Context entities recall
- Noise Sensitivity
- Answer semantic similarity
- Answer Correctness
- Aspect Critique
- Domain Specific Evaluation
- Summarization Score
组件智能评估¶
就像在任何机器学习系统中一样,LLM和RAG管道中单个组件的性能对整体体验有重大影响。Ragas提供量身定制的指标,用于单独评估RAG管道的每个组件。
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发布日期
星期二, 九月 3, 2024 - 22:36
最后修改
星期二, 九月 3, 2024 - 22:36
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