# Resources

The **Resources** page allows you to upload external documents that will be used to train your LLM model.&#x20;

<figure><img src="/files/ZA4XT99EiflSGQ7afzEM" alt=""><figcaption></figcaption></figure>

Here, you can upload documents such as text or PDF files that will be automatically indexed and used by your model to answer specific questions. FAQ, guidelines and general documentation are all perfect candidates for resource training.

When using the resources feature, be aware that the number of tokens utilized will increase proportionally to the size of the document (on average one word is equal to one token). The number of tokens used by your model will be directly reflected by the general usage and the actual cost of each prompt.

Documents upload here are temporarily stored in Xenioo account storage and will count toward your license space.


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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.mylinkconnect.com/artificial-intelligence/large-language-models/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.
