# Resources

First, connect any external knowledge into Pylon through the Training Data ingestion process.

{% content-ref url="/pages/55LMxjNj9P2tA9DYAwaa" %}
[Training Data](/pylon-docs/platform/training-data.md)
{% endcontent-ref %}

By default, your Pylon knowledge base is always optionally available as a resource. Pylon can also:

* Crawl any public URL (tree of URLs) or ingest individual webpage URLs
* Handle uploaded files like PDFs, CSVs, JSONs, etc.

Sources can be marked as public or internal depending on what workflows they should be used in. Individual AI Agents can be given access to different subsets of resources depending on use case. 

Once you've set up all your resources, navigate to Settings > Agents > \[Specific AI Agent] > Resources, and grant access to the relevant resources for that AI agent.

<figure><img src="/files/JhNm1o3SR5NRTwfYAoXa" alt=""><figcaption></figcaption></figure>


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# Agent Instructions: 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.usepylon.com/pylon-docs/ai-agents/build/resources.md?ask=<question>
```

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.