> For the complete documentation index, see [llms.txt](https://docs.inferix.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.inferix.io/inferix-whitepaper/decentralized-visual-computing/decentralized-storage-and-data-security/data-categories.md).

# Data categories

3D data stored in the Inferix system includes:

* Geometry data of 3D models, characterized by polygons that form the shape of objects. Depending on the render engine, different formats may be used. The higher the number of polygons, the more detailed the rendering result will be; however, the render time will also increase, and more storage space will be required.
* Texture data, which is the surface image of the object. Inferix uses data formats with the best compression algorithms for GPUs, such as Basis and KTX, alongside common formats like JPEG, PNG, TIFF, or WebP.
* Rendered results in image format
* Rendered results in video format
* Structural data in JSON format


---

# 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.inferix.io/inferix-whitepaper/decentralized-visual-computing/decentralized-storage-and-data-security/data-categories.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.