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

# Basics

- [Data Products](https://docs.alkemi.ai/documentation/basics/data-products.md): Data Products provide a way for you to create curated data assets from your connections with automatic AI functionality like text-to-SQL and MCP servers.
- [Creating a Data Product](https://docs.alkemi.ai/documentation/basics/data-products/creating-a-data-product.md)
- [Training your Data Product](https://docs.alkemi.ai/documentation/basics/data-products/training-your-data-product.md): This guide covers how to create, manage, and optimize your training data through the Text to SQL Training interface.
- [Creating Manual Training Data](https://docs.alkemi.ai/documentation/basics/data-products/training-your-data-product/creating-manual-training-data.md): Creating training examples by hand with direct control.
- [Creating Automated Training Data](https://docs.alkemi.ai/documentation/basics/data-products/training-your-data-product/creating-automated-training-data.md): Create synthetic training examples automatically using the Alkemi Agent
- [Reviewing Pending Queries](https://docs.alkemi.ai/documentation/basics/data-products/training-your-data-product/reviewing-pending-queries.md): How to review and approve synthetic training examples
- [Review Questionable Training Examples](https://docs.alkemi.ai/documentation/basics/data-products/training-your-data-product/review-questionable-training-examples.md): How to review questionable training examples
- [Best Practices](https://docs.alkemi.ai/documentation/basics/data-products/training-your-data-product/best-practices.md): Make it easy to succeed
- [Troubleshooting](https://docs.alkemi.ai/documentation/basics/data-products/training-your-data-product/troubleshooting.md): Common issues and solutions
- [Organizations](https://docs.alkemi.ai/documentation/basics/organizations.md)


---

# 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.alkemi.ai/documentation/basics.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.