> For the complete documentation index, see [llms.txt](https://docs.aqua-cloud.io/documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aqua-cloud.io/documentation/aqua-intelligence/grounding-with-aqua-intelligence-version-before-ai-reviewed/knowledge-base-of-aqua-intelligence-on-the-global-level.md).
# Knowledge Base of aqua Intelligence on the global level
### **What is global-level grounding?**
Global-level grounding means that the documents you upload will be available to **all users and all projects** in your workspace. Once processed, AI can use this content to:
* Answer user questions in the aqua Intelligence chat
* Create more relevant **requirements**, **test cases**, or **test data**
It’s a great way to share company-wide guidelines, standards, or reusable knowledge across teams.
***
### **How to upload**
1. Navigate to **Integrations → aqua Intelligence**
2. Choose **Upload file** *under aqua Intelligence knowledge base*
3. Upload file and choose **Global level** in the Upload to dropdown
4. Wait until processing is complete — you will see the indication of the processing status
**Supported file formats**
* PDF, DOCX, XLSX, Markdown, and TXT
#### **Storage and file management**
* The total global file size limit is **100 MB,** per-file limit is **10 MB**
* Processing is fast, but may take some time for large files
* Once a file is deleted, it’s no longer used for grounding and **frees up space** immediately.
---
# 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.aqua-cloud.io/documentation/aqua-intelligence/grounding-with-aqua-intelligence-version-before-ai-reviewed/knowledge-base-of-aqua-intelligence-on-the-global-level.md?ask=&goal=
```
`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.