> For the complete documentation index, see [llms.txt](https://docs.mylinkconnect.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mylinkconnect.com/artificial-intelligence/large-language-models/resources.md).
# Resources
The **Resources** page allows you to upload external documents that will be used to train your LLM model.
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.
---
# 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.mylinkconnect.com/artificial-intelligence/large-language-models/resources.md?ask=&goal=
```
`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.