> 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/source-citability.md). # Source Citability {% 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 Source Citability Test checks whether the generated questions and the correct answer can be cited using specific chunk(s) from the source document. This test ensures that the response is directly supported by the source material, making it more reliable and credible. A higher score indicates higher citability. **Required Arguments:** * **List of Chunks of Context**: Sections of the context from the source document that contain the information that should support the generated questions and answers. * **Response Received**: The questions and answers generated by the model that are being evaluated for citability. * **Threshold for Similarity Index**: A parameter that determines the level of similarity required for the response to be considered citeable. **Score Range:**\ 0 (low citability) to 1 (high citability) **Interpretation:**\ A higher score suggests that the questions and answers generated by the model can be directly supported by the source document, making them more reliable for citation. A lower score would indicate that the response lacks sufficient support from the source, reducing its credibility. --- # 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/source-citability.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.