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

# Collection

<figure><img src="/files/emBe5vg58lKJEVzfZFzy" alt=""><figcaption></figcaption></figure>

Similar to an Excel spreadsheet, collection stores your data. Unlike your Excel spreadsheet, collection can store and access million and million rows of data with ease without breaking your computer.&#x20;

## Querying your data

For the initiated, we use [MongoDB](https://www.mongodb.com/) as our primary data storage platform, meaning you can make use of their query functionality to access your data.&#x20;

But our main mission is to enable non-technical users to also make use of their own data. We use OpenAI's [GPT4](https://openai.com/gpt-4), one of the world most powerful natural language AI. Users can use natural language to find the data they need, instead of learning how to write query, SQL or any programming language.

<figure><img src="/files/k8DIG96QKo9AgT18R8B1" alt=""><figcaption><p>Our AI will convert your prompt into a query which you can then use to find the data you need.</p></figcaption></figure>

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# 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:

```
GET https://docs.connectomesystem.com/managing-your-data/collection.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.