# Getting Support

We hope you are enjoying Jupyter Hub. This is a pilot project, supported by Brown Computing Information Services (CIS). We are a small team at the moment and therefore support is somewhat limited. We have created few mediums for you to see assitance.

* Please check the **FAQ** section in this book
* For general **usage questions,** we encourage you to take advantage of the [CCV's Disscussion Forum](https://ask.cyberinfrastructure.org/c/brown-research-computing) and [CCV's Community Slack](https://join.slack.com/t/ccv-share/shared_invite/zt-fhlzhtfk-kfMB1MAA7pTngd93Gl2OGg)
* If you are experiencing **technical issues**, for instance, the Hub appears to be down or you have access issues, you can email [**jupyter-help@brown.edu**](mailto:%20jupyter-help@brown.edu)


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# Agent Instructions: 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:

```
GET https://docs.ccv.brown.edu/archive/jupyterhub/help-and-support/getting-support.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
