> For the complete documentation index, see [llms.txt](https://docs.helvia.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.helvia.ai/resources/support.md). # Support Helvia.ai offers multiple support channels so you can get answers fast, whether you prefer self-service, direct contact, or dedicated enterprise assistance. We are here to help you every step of the way. ### Contact Us Reach out to the Helvia.ai team directly through our [contact page](https://helvia.ai/contact-us). You can: * Email us at * Chat with our digital assistant for instant answers ### Service Desk For detailed technical issues, bug reports, or feature requests, submit a ticket through our Jira service desk. The service desk lets you track the status of your requests and communicate directly with the engineering team. Open Service Desk ### Enterprise Support Enterprise customers get access to dedicated Microsoft Teams channels with 24/7 support from the Helvia.ai team. Contact us to learn more about enterprise plans. ### Documentation The documentation you're reading right now is the fastest way to learn the platform on your own terms. It covers everything from core concepts and step-by-step tutorials to advanced configurations and troubleshooting guides. Use the search bar at the top or browse the sidebar to find what you need. {% hint style="success" %} **Actively maintained:** These docs are actively maintained. New pages and updates ship alongside every Helvia.ai release. {% endhint %} --- # 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.helvia.ai/resources/support.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.