# Topic Coverage {% hint style="info" %} Exclusive to enterprise customers. [Contact us](https://calendly.com/nirmalya-raga/30min?month=2025-09) to activate this feature. {% endhint %} **Objective:**\ The Topic Coverage Test identifies whether there are sections of text in the context that are not represented in the response received. This test evaluates the extent to which the response covers the topics provided in the context. A higher score indicates more comprehensive coverage of the context. **Required Arguments:** * **List of Chunks of Context**: Sections of the context that contain the key information and topics that should be covered in the response. * **Response Received**: The content generated by the model that is being evaluated for how well it covers the provided context. **Score Range:**\ 0 (poor topic coverage) to 1 (high topic coverage) **Interpretation:**\ A higher score suggests that the response effectively covers the topics outlined in the context, while a lower score indicates that there are gaps in the coverage, with some sections of the context not being represented in the response. --- # Agent Instructions: Querying This Documentation 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: ``` GET https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/learning-management-system/topic-coverage.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. 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.