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

# Object storage

* Object storage is an architecture designed to handle large amounts of unstructured data. It stores data as distinct units, called objects, each bundled with metadata and a unique identifier. These objects are kept in a flat address space, making them easily accessible and scalable. Object storage is commonly used for unstructured data such as media files, sensors, and media storage and delivery due to its durability, scalability, and cost-effectiveness.&#x20;
* Advantage: - Cloud object storage offers scalability, cost efficiency, flexibility, durability, and suitability for unstructured data, making it an ideal choice for various use cases in cloud environments.&#x20;


---

# 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.neevcloud.com/neevcloud-products/storage/object-storage.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.
