Connectors 1.0: Transforming SharePoint Metadata into a Sustainable Content Lifecycle
Connectors 1.0 transforms SharePoint metadata management by replacing one-time manual tagging with an automated, continuously updated content lifecycle that keeps metadata accurate at scale while still respecting human oversight.
Organizations store thousands, sometimes millions of documents in SharePoint, but if that content cannot be found, understood, or properly governed, its value is lost. Usually, the culprit is a “tagging gap”: metadata that is stale, missing, or inaccurate.
With the launch of Connectors 1.0, we are introducing a completely rewritten, ground-up solution that transforms how organizations bridge the gap between Graphwise Graph Modeling (formerly PoolParty) and SharePoint. This isn’t just an update. It is a shift from one-time manual tagging to a reliable, automated content lifecycle.
Tags that keep up with your content
The biggest challenge with traditional auto-tagging is “drift.” A document is tagged once, but as it is edited and revised over months, those original tags become obsolete.
Connectors 1.0 introduces Smarter Delta Tagging. Instead of a one-off setup, the system now operates on a scheduled cycle (every five minutes). When a document changes, the Connector automatically re-processes it to ensure the metadata reflects the current reality. Tagging is no longer a static task – it is a living process that ensures your search results and Microsoft Copilot answers remain accurate.
Automation without losing control
We know that automated systems shouldn’t override human expertise. One of the core pillars of Connectors 1.0 is Governance and Trust.
- Respect for manual tags: Administrators can configure the system to protect intentional human input. If a content manager has manually applied specific tags, the automation can be set to “respect” those choices rather than overwriting them.
- Balanced workflow: This allows for a “best of both worlds” approach – massive scale through automation, fine-tuned by human judgment where it matters most.
A modernized architecture for global scale
Version 1.0 represents a total rewrite of the backend. We’ve streamlined the orchestration layer to be more robust, transparent, and significantly faster.
- Legacy content cleanup: Many organizations struggle with thousands of “dark” legacy documents with poor metadata. The new architecture makes bulk-tagging these libraries fast and automatic, turning what used to be a months-long manual effort into a background operation.
- Direct GraphDB synchronization: Semantic data is now automatically kept in sync across your systems. This ensures that your knowledge graph always reflects the most up-to-date state of your SharePoint environment, providing a real-time foundation for AI and analytics.
| Feature | Before Connectors 1.0 | With Connectors 1.0 |
|---|---|---|
| Tagging Frequency | On request/manual | Automatic scheduled processing |
| Content Accuracy | Metadata drifted as docs were edited | Metadata stays aligned with content |
| Legacy Documents | Reprocessed manually | Efficient, scalable bulk tagging |
| Human Input | Risk of overwriting tags | Manual tags are respected via configuration |
Experience the future of automated metadata
Connectors 1.0 is an important upgrade for SharePoint Content Managers, Information Architects, and M365 Administrators. It reduces the operational friction of maintaining large-scale libraries and ensures that your organization’s internal knowledge is discoverable, governed, and AI-ready.
Connectors 1.0 is part of the broader Graphwise Platform, designed to turn fragmented data into a unified semantic backbone.
Connectors 1.0 starts with Microsoft 365 and SharePoint, but this is just the beginning. We are actively expanding to additional enterprise platforms, starting with Adobe Experience Manager, unlocking a unified, intelligent metadata layer across your entire content landscape
Ready to see how Graphwise handles complex taxonomies and automated metadata?
