# RagaAI Metric Library

Metrics are essential tools for quantifying and qualifying insights derived from runs. They are aggregated to provide a comprehensive view across multiple runs or an entire project. At RagaAI, our metrics are designed to automate and standardise the evaluation of generative AI applications, ensuring that teams can consistently organise around a unified evaluation framework.

**Key Benefits of RagaAI Metrics:**

1. **Automation and Standardisation**: RagaAI metrics streamline the evaluation process, reducing manual effort and ensuring consistency across evaluations.
2. **Comprehensive Insights**: By aggregating metrics across runs and projects, RagaAI provides a holistic view of performance and areas for improvement.
3. **Customisability**: Our metrics framework is flexible, allowing teams to incorporate any relevant metrics tailored to their specific projects or runs.


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If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
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```

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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
