> For the complete documentation index, see [llms.txt](https://docs.glbnxt.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.glbnxt.com/faq/glbnxt-platform/can-i-connect-my-own-ai-models-or-data-sources.md). # Can I connect my own AI models or data sources? Yes, you can, but most organisations will not need to. GLBNXT Platform comes with access to more than 100 AI models covering a wide range of use cases, from general-purpose language tasks to specialised capabilities in coding, reasoning, document analysis, and more. For the vast majority of organisations, the available model catalogue is more than sufficient to meet their needs without any additional integration work. That said, the platform is built on open standards and is designed to be extensible for organisations with specific requirements. If your organisation has developed its own AI models, uses a proprietary model suited to your industry, or wants to bring in a model not currently in the catalogue, that option is available through GLBNXT Platform. The same applies to data sources. Platform supports connections to your existing organisational data, whether that is internal knowledge bases, document repositories, or other systems your teams rely on, allowing you to ground AI applications in your own information. If you are unsure whether the standard model catalogue covers your use case, speak with your GLBNXT account team before investing time in a custom integration. The answer is usually already there. --- # 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.glbnxt.com/faq/glbnxt-platform/can-i-connect-my-own-ai-models-or-data-sources.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.