# Introduction

## What is Aita?

Aita is an AI powered data platform, that helps data users to efficiently use data. Aita allows data users to:

* Connect to data sources and ask questions in natural language
* Run on Various Data APIs such as Pandas, Pyarrow, Spark, Pytorch etc.
* Interactively code in Aita kernel with AI agent.

{% hint style="info" %}
**Note:** Aita today primarily addresses *data users*.
{% endhint %}

![](https://github.com/project-aita/aita/blob/main/docs/assets/aita_marchitecture.png)

## Who is Aita for?

Aita helps data users with data access and data analysis by leveraging AI.\
Instead of writing code on jupyter notebook, data users can interactively code in Aita kernel with AI agent.

## How to get started?

{% hint style="info" %}
The best way to learn Aita is to use it. Head over to our [Quickstart](https://docs.aita.dev/getting-started/quickstart) and try it out!
{% endhint %}


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# 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://aita-1.gitbook.io/aita/readme.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.
