# Uploading documents

GLBNXT Workspace allows you to bring your own documents into the chat environment and work with them directly alongside AI. Rather than copying and pasting content into your prompts, you can upload files and ask the AI to read, analyse, summarise, or extract information from them as part of a natural conversation.

All documents uploaded within Workspace are processed entirely on GLBNXT-owned EU infrastructure. Your files are never sent to third-party services and are not used for model training.

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### How to Upload a Document

Uploading a document is done directly from the chat interface. A file attachment button is available in the input bar at the bottom of the conversation window. Clicking it opens a file picker, from which you can select one or more files from your device.

Once uploaded, the document appears as an attachment within the conversation thread, confirming it has been received and is ready to work with. You can then type your prompt as normal, and the AI will reference the uploaded content as part of generating its response.

Depending on your interface configuration, it may also be possible to drag and drop files directly into the chat window as an alternative to using the file picker.

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### Supported File Types

Workspace supports a range of common document formats for upload. These include:

* PDF documents
* Microsoft Word documents (.docx)
* Plain text files (.txt)
* Markdown files (.md)
* Microsoft PowerPoint presentations (.pptx)
* Microsoft Excel spreadsheets (.xlsx)
* CSV files
* Audio files, for transcription and analysis, depending on interface configuration

Support for specific file types may vary depending on the interface and model you are using. If a file type is not supported, the interface will notify you at the point of upload.

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### What Happens When You Upload a Document

When a document is uploaded, the interface processes it automatically. The content is extracted, broken into segments, and made available to the AI as context for your conversation. This process happens in the background and typically takes only a few seconds for standard document sizes.

Once processing is complete, the AI can read, reference, and reason over the content of the uploaded file in response to your prompts. You do not need to paste the text manually or direct the AI to the document explicitly in most cases, though being specific in your prompt about what you want the AI to do with the document will always produce better results.

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### Working with Uploaded Documents

Once a document is uploaded, you can interact with it in a wide variety of ways through natural language. Common tasks include:

**Summarising.** Ask the AI to produce a concise summary of the document, a specific section, or a particular topic covered within it.

**Extracting information.** Ask the AI to find and return specific data points, clauses, dates, names, figures, or any other discrete piece of information contained in the document.

**Comparing documents.** Upload two or more documents and ask the AI to compare them, identify differences, or highlight where they align or conflict.

**Reviewing and analysing.** Ask the AI to review a contract for risk clauses, assess a report for logical consistency, or evaluate a policy document against a set of criteria you define in your prompt.

**Drafting based on source material.** Use an uploaded document as the basis for generating new content, such as a summary report, a response letter, a set of action points, or a revised version of the original.

**Translating.** Upload a document in one language and ask the AI to translate its content, either in full or for specific sections.

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### Uploading Multiple Documents

You can upload more than one document within a single conversation, allowing you to work across multiple source files simultaneously. This is particularly useful for tasks such as cross-referencing contracts, comparing proposals, or consolidating information from several reports into a single output.

When working with multiple documents, it is good practice to be explicit in your prompts about which document you are referring to, particularly if the files cover similar topics. Naming the documents in your prompt reduces ambiguity and improves the accuracy of the AI's responses.

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### File Size and Processing Limits

Uploaded files are subject to size limits that are set at the platform level. Very large files or documents with complex formatting may take longer to process, and in some cases, only a portion of a very large document may fall within the model's active context window at any one time.

For best results, work with documents that are focused and relevant to the task at hand rather than uploading large, multi-topic files and expecting the AI to navigate them comprehensively. If you need to work with large document sets at scale, refer to the GLBNXT Platform section for information on advanced knowledge pipeline capabilities.

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### Document Privacy and Retention

Documents uploaded within a conversation are processed and stored on GLBNXT-owned EU infrastructure and are private to your account. They are not accessible to other users and are not shared with any external services.

Retention of uploaded documents is subject to the policies configured by your administrator. Depending on your organisation's settings, documents may be retained for the duration of a session, tied to the lifecycle of the conversation they were uploaded in, or subject to a broader data retention policy. Contact your administrator if you have questions about how uploaded documents are handled within your organisation's Workspace configuration.


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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.glbnxt.com/workspace/knowledge-and-data/uploading-documents.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.
