> For the complete documentation index, see [llms.txt](https://docs.usepylon.com/pylon-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.usepylon.com/pylon-docs/platform/training-data.md).

# Training Data

Pylon's many AI features, like [Ask AI](/pylon-docs/platform/ask-ai.md), [Copilot](/pylon-docs/support-workflows/issues/copilot.md) for Issues, [AI Agents](/pylon-docs/ai-agents/overview.md), [Search](/pylon-docs/knowledge-base/search.md#federated-search), and more all benefit from having access to more information. 

By default, they have access to your past Pylon issues and your Pylon Knowledge base. Make them even more powerful by connecting any external sources of knowledge you have!

## Setup

1. Go to the [Training Data](https://app.usepylon.com/settings/ai-controls/training-data) page in Settings and click "Import Data".
2. Select a method of importing data and follow the instructions.

<figure><img src="/files/V0gTTbeBfztfRjdDFvFX" alt=""><figcaption></figcaption></figure>

* Your Pylon knowledge base and past issues will be enabled by default and reindexed **live**
* Public URLs to individual webpages or a base url to crawl that will be reindexed every 7 or 30 days depending on your Pylon plan. Examples may include:
  * Public-facing documentation not hosted by Pylon
  * Public Google docs
  * Public GitHub repos
  * Your marketing website or pricing page
* Give Pylon a few moments to automatically scrape and index all your content

This data is now available to power all your AI features!


---

# 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.usepylon.com/pylon-docs/platform/training-data.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.