> For the complete documentation index, see [llms.txt](https://docs.alkemi.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.alkemi.ai/documentation/getting-started/connect-your-data/uploading-files.md).
# Uploading Files
{% stepper %}
{% step %}
## **Click the add button in the chat input**
Click the add button and select **Upload from computer**
{% endstep %}
{% step %}
## **Let the file upload**
After a few seconds an alert will notify you that your file is ready to use.
The file will be auto-inserted into your chat input.
Click the mentioned asset or file preview link beneath the the input to view the file contents.
{% endstep %}
{% step %}
### **Use the uploaded asset!**
Start chatting with the agent to extract data from your CSV, transform it into a new dataset, or to visualize it. Type “**@”** and begin typing the file name to mention your asset and bring in your data into any chat thread.
{% endstep %}
{% endstepper %}
---
# 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.alkemi.ai/documentation/getting-started/connect-your-data/uploading-files.md?ask=
```
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.