> For the complete documentation index, see [llms.txt](https://docs.raga.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/learning-management-system/topic-coverage.md). # 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 This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/learning-management-system/topic-coverage.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.