> For the complete documentation index, see [llms.txt](https://docs.mindkosh.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mindkosh.com/getting-started/welcome.md).

# Welcome

Welcome to a new way of labeling your data!

We are glad you chose Mindkosh to deliver the high quality datasets your Machine Learning projects deserve. With Mindkosh you can easily manage large Data labeling projects and the teams that work on them. All while using a feature-rich Annotation tool built for efficiency and large volumes of data.

You can find information about all aspects of the platform here. If you would like to see the platform in action, or need visual help performing some actions, you can visit our [Youtube channel](https://www.youtube.com/channel/UCVRp5p9kuXOTsywDNiAQLjQ).

You might also be interested in joining our [**Discord Channel**](https://discord.gg/EcjavQvp)


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# 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.mindkosh.com/getting-started/welcome.md?ask=<question>&goal=<endgoal>
```

`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.