> 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-redundancy.md). # Topic Redundancy {% 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 Redundancy Test identifies whether any topics in the Q\&As generated are repeated. This test evaluates the uniqueness and variety of the topics covered in the response. A lower score indicates less redundancy, meaning the response is more varied and avoids unnecessary repetition. **Required Arguments:** * **List of Chunks of Context**: Sections of the context that contain the key information and topics that should be assessed for redundancy. * **Response Received**: The content generated by the model that is being evaluated for topic redundancy. * **Threshold for Similarity Index**: A parameter that determines the level of similarity at which two topics are considered redundant. **Score Range:**\ 0 (high redundancy) to 1 (low redundancy) **Interpretation:**\ A lower score suggests that the response has less repetition of topics, which is desirable for varied and engaging content. A higher score would indicate that the response contains redundant information, possibly repeating the same topics multiple times. --- # 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-redundancy.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.