# Upgrading to GLBNXT Platform

GLBNXT Workspace is designed to cover the knowledge and data needs of most business teams. For organisations that need to go further, GLBNXT Platform provides the infrastructure to do so.

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### When to Consider GLBNXT Platform

The embedded document and knowledge capabilities within Workspace work well for session-based, individual, and team-level tasks. There are situations, however, where a more advanced setup is the right choice.

Consider GLBNXT Platform if your organisation needs to:

* Maintain a **persistent, organisation-wide knowledge base** that multiple users can query from a shared corpus of documents
* Ingest and index **large volumes of documents** on a continuous basis, rather than uploading files per conversation
* Achieve **higher retrieval precision** for complex, domain-specific, or heavily structured content
* Build **custom knowledge pipelines** tailored to your data sources, formats, or business processes
* Integrate AI knowledge capabilities directly into **existing enterprise systems and applications**

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### What GLBNXT Platform Adds

GLBNXT Platform provides a dedicated knowledge and data infrastructure layer that goes well beyond what is embedded in the Workspace frontends. This includes configurable vector search engines, knowledge graph capabilities, and scalable data pipelines that can be tuned, extended, and integrated with your existing technology environment.

It is built for data science teams, developers, and organisations scaling AI across their entire operation, not just for individual users working with documents in a chat interface.

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### Getting Started

To explore GLBNXT Platform and discuss whether it is the right fit for your organisation, visit the GLBNXT Platform section of this Knowledge Centre or contact your GLBNXT representative directly.


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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/upgrading-to-glbnxt-platform.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.
