> For the complete documentation index, see [llms.txt](https://docs.aisuru.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aisuru.com/en/getting-started/creating-your-first-agent/quick-document-import.md).

# Quick document import

Now that you've created your Agent, you'll need to train it, that is, teach it everything it needs to know to answer users' questions and requests.

There are [several ways to train your Agent](https://github.com/memori-ai/docs/blob/main/agent-training/how-to-train-an-agent-overview.md). For now, let's see how to do it easily by importing a PDF document:

1. Go to the management panel of the Agent you want to import the PDF into;
2. From the sidebar, select "**Import/Export**";
3. Select the PDF file you want to upload;
4. Leave all the settings as they are and click the "Import" button in the bottom right corner;

✅ Done! AIsuru is now importing all the knowledge from your document.

#### Test your Agent

Even while the import is in progress, you can already test your Agent. Keep in mind, though, that you'll need to wait for the process to finish before your assistant knows everything about your PDF document.

1. In the sidebar of the Agent management panel, click **"Try"** (the first button that appears);
2. A chat will open directly, where you can have a conversation with your Agent;
3. Try asking a few questions to check that it responds correctly based on the content you uploaded.


---

# 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.aisuru.com/en/getting-started/creating-your-first-agent/quick-document-import.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.