# DataMynd Docs

## DataMynd Docs

- [Welcome](https://docs.datamynd.ai/datamynd-docs-1/readme.md)

## Synthetic Data Generator Docs

- [About](https://docs.datamynd.ai/synthetic-data-generator/about.md)
- [Requirements And Setup](https://docs.datamynd.ai/synthetic-data-generator/requirements-and-setup.md)
- [Private Link Information](https://docs.datamynd.ai/synthetic-data-generator/private-link-information.md): Since the DataMynd Synthetic Data Generator is a Snowflake Native App with a Streamlit front end, you may require a bit more setup to work with accounts that use PrivateLink (see below).
- [Project Setup](https://docs.datamynd.ai/application-workflow/project-setup.md): Manage synthetic data projects on this page, and view details on existing projects.  Start by creating a new project or loading an existing one.  Shown as 'Start Page' in app.
- [Select ML Model](https://docs.datamynd.ai/application-workflow/select-ml-model.md): (Model Type) page in app.  This page allows you to select and configure your model and parameters used for training and synthesis.
- [Data Config](https://docs.datamynd.ai/application-workflow/data-config.md): Configure your training data, relationships, field parameters, privacy options, and additional constraints.
- [Train and Generate](https://docs.datamynd.ai/application-workflow/train-and-generate.md): This page handles training the synthetic data model and using the trained model to generate synthetic data. Shown as 'Execute' page in the app.
- [Quality Report and Preview](https://docs.datamynd.ai/application-workflow/quality-report-and-preview.md): The Data Explorer page provides several tools for evaluating results.  Shown as 'Explore' page in app.
- [Object Privileges](https://docs.datamynd.ai/other/object-privileges.md)
- [Performance and Accuracy Tuning](https://docs.datamynd.ai/other/performance-and-accuracy-tuning.md): Several notes and tips on tuning performance and accuracy for the app.


---

# 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, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on a page URL with the `ask` query parameter:
```
GET https://docs.datamynd.ai/synthetic-data-generator/about.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.