# Introduction
Segments.ai is the training data platform for computer vision engineers and labeling teams. Our powerful labeling interfaces, easy-to-use management features, and extensive API integrations help you iterate quickly between data labeling, model training and failure case discovery.
The documentation is divided into 4 sections:
1. [Tutorials](https://docs.segments.ai/tutorials): end-to-end tutorials where you are guided through a complete project.
2. How-to guides: recipes to solve specific problems relating to
* [Annotating data](https://docs.segments.ai/how-to-annotate)
* [Managing data and collaborators](https://docs.segments.ai/how-to-integrate)
* [Integrating Segments.ai in your workflows and ML pipelines](https://docs.segments.ai/how-to-integrate)
3. [Background](https://docs.segments.ai/background): provides clarifying background knowledge on certain topics.
4. [Reference](https://docs.segments.ai/reference): description of the full Python SDK functionality and input and output formats.
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Perform an HTTP GET request on the current page URL with the `ask` query parameter:
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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.
