# Welcome

Welcome to the official Deeptrain documentation. Deeptrain is a multi-modal data connector to connect your LLMs and AI agents with any data source possible in real-time. 

### Jump right in

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Getting Started</strong></td><td>Learn the basics of Deetrain </td><td><a href="/files/UHF7zjwcq36zmrwja3ub">/files/UHF7zjwcq36zmrwja3ub</a></td><td></td><td><a href="/pages/CyH2xJQs9yWJ1S8BYNav">/pages/CyH2xJQs9yWJ1S8BYNav</a></td></tr><tr><td><strong>For Enterprises</strong></td><td>What can enterprises use Deeptrain for?</td><td><a href="/files/vxs1ER5I8VkIA0IaOqfo">/files/vxs1ER5I8VkIA0IaOqfo</a></td><td></td><td><a href="/pages/7aUFmnCMx9m4smGncsXL">/pages/7aUFmnCMx9m4smGncsXL</a></td></tr><tr><td><strong>For Developers</strong></td><td>How can developers use Deeptrain AI?</td><td><a href="/files/WqTZslyWgLz3XWQj63oY">/files/WqTZslyWgLz3XWQj63oY</a></td><td></td><td><a href="/pages/JjjojIyKxaiBPzzLwvtg">/pages/JjjojIyKxaiBPzzLwvtg</a></td></tr></tbody></table>

### Explore technology

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Video AI</strong></td><td>Video processing for LLMs</td><td><a href="/files/UHF7zjwcq36zmrwja3ub">/files/UHF7zjwcq36zmrwja3ub</a></td><td></td><td><a href="/pages/CyH2xJQs9yWJ1S8BYNav">/pages/CyH2xJQs9yWJ1S8BYNav</a></td></tr><tr><td><strong>CVSR</strong></td><td>Vision-based web scraper</td><td><a href="/files/vxs1ER5I8VkIA0IaOqfo">/files/vxs1ER5I8VkIA0IaOqfo</a></td><td></td><td><a href="/pages/7aUFmnCMx9m4smGncsXL">/pages/7aUFmnCMx9m4smGncsXL</a></td></tr><tr><td><strong>RTRA</strong></td><td>Real-time finetuning</td><td><a href="/files/WqTZslyWgLz3XWQj63oY">/files/WqTZslyWgLz3XWQj63oY</a></td><td></td><td><a href="/pages/JjjojIyKxaiBPzzLwvtg">/pages/JjjojIyKxaiBPzzLwvtg</a></td></tr></tbody></table>


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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://deeptrain.gitbook.io/documentation/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.