# How Deep Lake Works

- [Data Layout](https://docs-v3.activeloop.ai/3.1.1/how-it-works/data-layout.md): Understanding the data layout in Deep Lake
- [Version Control and Querying](https://docs-v3.activeloop.ai/3.1.1/how-it-works/version-control-and-querying.md): Understanding Deep Lake's Version control and Querying Layout
- [Tensor Relationships](https://docs-v3.activeloop.ai/3.1.1/how-it-works/tensor-relationships.md): Understanding the correct data layout for successful visualization.
- [Visualizer Integration](https://docs-v3.activeloop.ai/3.1.1/how-it-works/visualizer-integration.md): How to embed our visualizer in your application.
- [Shuffling in ds.pytorch()](https://docs-v3.activeloop.ai/3.1.1/how-it-works/shuffling-in-ds.pytorch.md): Understanding data shuffling in Deep Lake's pytorch dataloader
- [Storage Synchronization](https://docs-v3.activeloop.ai/3.1.1/how-it-works/storage-synchronization.md): Synchronizing data with long-term storage and achieving optimal performance using Deep Lake.
- [How to Contribute](https://docs-v3.activeloop.ai/3.1.1/how-it-works/how-to-contribute.md): Guidelines for open source enthusiasts to contribute to our open-source data format.


---

# 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-v3.activeloop.ai/3.1.1/how-it-works.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.