> For the complete documentation index, see [llms.txt](https://docs.bodt.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bodt.io/data-source/files.md).
# Files
Files sources are used when your business data is not available online. We support the following file formats
* PDF
* DOC
* DOCX
* TEXT
{% hint style="info" %}
If you need support for more files, reach out to our [support](/support.md).
{% endhint %}
### Add Files
To add a new data source based on the file, click "Data Sources" in the sidebar. Once the page opens, click on "Add Source" and choose "Files" as the source.
This will open a new page where you can enter the name of the Source and upload up to three files, each up to 15MB.
The files will be uploaded to our servers and once uploaded, you can click on "Add Source" to start training our models.
Once the source is added, you can add more files, each file up to 15MB, to add to the training data.
### Delete Files
If you would like to remove a file from the training system, simply click on "Delete" against the file to remove it from our system.
### Tutorial
{% embed url="" %}
---
# 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.bodt.io/data-source/files.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.