# Developer Documentation - [Developer Tools](https://docs.graviti.com/dev-doc/tools.md) - [Graviti Open API](https://docs.graviti.com/dev-doc/tools/api-center.md) - [DataSet Operation](https://docs.graviti.com/dev-doc/tools/api-center/dataset-operation.md) - [Data Operation](https://docs.graviti.com/dev-doc/tools/api-center/data-operation.md) - [Examples](https://docs.graviti.com/dev-doc/tools/api-center/examples.md): Click to have a grasp of how to start your tour in the Graviti Data platform. Graviti Help Center provides examples as a Quickstart guide to help you learn how to train models and do data mining. - [Model training](https://docs.graviti.com/dev-doc/tools/api-center/examples/model-training.md): Based on TensorBay Action, this example integrates four steps: data crawling, conversion, parsing, and analytics into a complete workflow, giving you a quick overview of the Graviti Data platform. - [Data mining](https://docs.graviti.com/dev-doc/tools/api-center/examples/data-mining.md): Based on TensorBay Action, this example integrates four steps: data crawling, conversion, parsing, and analytics into a complete workflow, giving you a quick overview of the Graviti Data platform. --- # 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.graviti.com/dev-doc.md?ask= ``` 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.