> For the complete documentation index, see [llms.txt](https://xio-2.gitbook.io/xio/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://xio-2.gitbook.io/xio/start-here/what-is-xio.md).

# What Is Xio

Xio is a self-hosted workspace that lets you interact with your own data through a local large language model. It gives you the ability to upload documents, transcribe audio, scrape webpages, or link to sources, and then ask questions directly against that content. The goal is to create a private, flexible environment where your files become searchable, understandable, and useful through natural language chat.

Xio is modular and runs entirely on your machine. You can connect it to a variety of tools including different LLM providers, vector databases, and transcription engines. The application comes with a simple web interface and a robust API, making it accessible whether you are a developer or just need a local knowledge assistant.

You can spin it up quickly using Docker:

```bash
bashCopyEditdocker compose up --build
```

Once running, open your browser to:

```
arduinoCopyEdithttp://localhost:3001
```

Xio is built to serve as a permanent workspace where your content remains organized, accessible, and ready to answer questions when you need it to.


---

# Agent Instructions
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## 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://xio-2.gitbook.io/xio/start-here/what-is-xio.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.

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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.
