> For the complete documentation index, see [llms.txt](https://docs.navigaglobal.com/opencontent/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.navigaglobal.com/opencontent/xlibris-archive/archive-everything-you-ever-created-or-published.md).

# Archive everything you ever created or published

#### The XLibris search client lets you easily search for anything you store. Predefined search modules for content types helps the end user find the right material. There is a facetting feature, to help narrow down the result if it is too big.&#x20;

Searching in XLibris is fast, even in an archive with over 25 million objects. You can use the query syntax in a really simple manner, just like a Google search. But there is also a powerful query language available behind the scenes if you are interested in power searches.

![](/files/-LtZ-1Kpump8P6Q38n3X)

**Newspilot integrated with XLibris**\
If you run Newspilot as your editorial platform Open Content / XLibris will work out-of-the-box. Newspilot has automated workflows for archiving articles, images (both published and unpublished), pages in PDF-format as well as the job planning.&#x20;

Everything is connected – when you find a page, you will instantly see all articles and images published on that page. When you find a job, you will find other content that belong to the same job.&#x20;

**Build your own User Interface and workflows**\
We have customers who have created their own workflow for both importing, searching and using images in Open Content. Archive historical content\
Scanned newspapers in PDF-format, with a predefined naming standard can also be imported and made searchable in XLibris.


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# 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:

```
GET https://docs.navigaglobal.com/opencontent/xlibris-archive/archive-everything-you-ever-created-or-published.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.
