> For the complete documentation index, see [llms.txt](https://docs.biobox.io/guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.biobox.io/guide/how-to/ask-multi-modal-questions.md).

# Ask multi-modal questions

The home page of the platform is the BioBox Knowledge Engine. This is your organization's proprietary search engine that can be used to interrogate your data.  The knowledge engine will return comprehensive multi-modal answers to your questions by retrieving the required data from your graph. 

<figure><img src="/files/DhNnf2R8Xmx5bAdEsm2g" alt=""><figcaption></figcaption></figure>

Questions can be asked via natural language or query language.&#x20;

All questions asked within your organization are saved and can be revisited by selecting the floating clock button in the top left corner of the search.&#x20;

<figure><img src="/files/tw0YEwkrbm1HxPCh18Y5" alt=""><figcaption></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, and the optional `goal` query parameter:

```
GET https://docs.biobox.io/guide/how-to/ask-multi-modal-questions.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.