Graphwise Platform Pulse
The central hub for the latest capabilities, releases, and strategic insights across the Graphwise Platform.
Welcome to Graphwise Platform Pulse, our enterprise enablement and release initiative designed to provide a regular briefing cycle for the Graphwise Platform. Every quarter, we launch a new Pulse drop combining official component release notes, technical deep dives, webinar episodes, and live workflow demonstrations into a single hub.
Scroll down to stay updated on what is live now, what is on the strategic horizon, and how to scale your data’s Semantic Backbone.
OUR LATEST RELEASE
Graphwise Platform Pulse 1 – July 2026
Our inaugural Pulse launches this July 2026, with a focus on the Graphwise Platform as a whole, breaking down the complete architecture and the synergies between its components, showing you how to build a trusted Semantic Backbone for Enterprise AI.
Read the official Press Release and our launch blog post, to learn more about the platform’s business and technical logic.
Scroll down to access the first webinar episode, watch the live product demonstrator, and review the Q3 component release notes.
Component Releases
GraphDB 11.4:
- Encryption at rest (Enterprise Edition): Secure sensitive C3/C4 data with repository-level AES-256-GCM encryption, configurable at repository creation to seamlessly meet enterprise compliance standards.
- Interactive Map Visualizations: Visualize geospatial SPARQL results (points, lines, and polygons) directly on an interactive, embeddable map component inside the GraphDB Workbench.
- Custom MCP Prompts: Define Model Context Protocol (MCP) prompt templates via REST API, allowing AI agents to safely translate natural language into optimized SPARQL queries.
Graph Modeling 10.3:
- Unified Platform Security & SSO: This release transitions the entire platform to a decentralized Keycloak architecture to enable seamless Single Sign-On (SSO) across the Graphwise suite. Key upgrades include application-specific role isolation to prevent token bloat, secure machine-to-machine API integrations, and an automated zero-downtime migration utility.
- Taxonomy Builder: Multilingual Localization: This feature integrates advanced LLM technology to automatically generate concept labels and definitions across all configured project languages directly within the application workflow. It drastically reduces manual translation costs and timelines for global enterprises while maintaining human-in-the-loop quality controls.
Semantic Analytics 10.3:
- Native Multilingual Engine: This Apache Lucene-based upgrade enables high-performance concept tagging across more than 40 languages, introducing native support for complex scripts like Japanese and Russian out of the box. By utilizing memory-efficient technology, it eliminates the need for external Elasticsearch lookups and fully automates the indexing process whenever a taxonomy changes.
- Unified Tagger API: This feature consolidates multiple legacy extraction, annotation, and categorization endpoints into a single, high-performance API (/api/tag). It streamlines multi-document processing and ZIP file handling into a single request, significantly reducing integration complexity for developers.
GraphRAG 1.2:
- Semantic Explainability: Integrates richer SKOS attributes into backend responses and the UI to provide deeper semantic context. This significantly enhances transparency and answer explainability through better concept grounding.
- Guardrails & Trust Layer: Upgrades output guardrails to provide descriptive explanations for off-topic questions while suppressing irrelevant sources. Auto-generated follow-up questions are also refined to better match the active conversation context.
- Graph & Workflow Reliability: Uses a custom MCP client to intelligently route queries to vector search or GraphDB instead of running them in parallel. This drastically reduces latency and token usage for simple queries while stabilizing enterprise workflows.
Connectors 1.0:
- On-Demand Retagging: Users can now trigger tagging manually for an entire SharePoint document library or for selected individual documents. This provides more control when metadata needs to be refreshed after taxonomy updates, bulk migrations, major document revisions, or other changes outside the regular delta tagging cycle.
- Faster Sync Performance: Connectors now uses the new extractor, improving synchronization speed and efficiency, especially for larger SharePoint libraries and environments with frequent content updates.
- Improved Taxonomy Navigation: The manual sync interface now displays taxonomy hierarchies with clearer indentation, making parent-child relationships easier to understand at a glance. This improves usability for users reviewing or working directly with structured vocabularies during manual sync activities.