Welcome to GraphwisePlatform Pulse, our central hub for the latest news about the Graphwise Platform. Every quarter, we launch a new “Pulse” drop combining official release notes, technical deep dives, webinar episodes, and live workflow demos.
Scroll down to stay updated on what is live now and what is on the strategic horizon.
LATEST RELEASE
Graphwise Platform Pulse 2 – October 2026
Live within the Graphwise AI Summit 2026
Our latest release was unveiled as part of the Graphwise AI Summit 2026, a free, two-day virtual event bringing together business leaders and technical practitioners to explore the latest in Enterprise AI.
Our dedicated session Graphwise Platform Pulse – Episode #2 covered the latest Graphwise Platform releases and product updates. Watch the recordings of this session on demand for an exclusive first look at what’s new in the Graphwise Platform.
Repository-Specific Maintenance Permission – Enables administrators to grant management capabilities for individual repositories without giving users global repository management privileges, improving security and access control.
Multiple Authorization Sources – Allows LDAP, OAuth, and local authorization to work together, making it easier to grant temporary repository access without changing centrally managed identities or groups.
Unified Prometheus Metrics Endpoint – Consolidates instance, repository, cluster, query, and license metrics into a single endpoint, simplifying production monitoring and reducing configuration overhead.
Native Index Fragmentation Insights – Exposes detailed repository index statistics, including fragmentation levels, helping administrators determine when compaction is needed to maintain efficient operations.
AI Evaluation & Benchmarking – Introduces a self-contained evaluation framework using RAGAS metrics, multi-provider LLM judging, actionable HTML reports, and automated baselines for repeatable quality and regression testing.
Extended Concept Details – Adds full support for taxonomy attributes, custom properties and relations, with clickable navigation between broader, narrower, and related concepts.
Stronger Authentication & Security – Replaces Basic Auth with OAuth2 for PoolParty integrations, moves n8n API keys into managed credentials, and strengthens the security of workflow infrastructure.
Improved GraphRAG User Experience – Adds collapsible conversation subthreads, clearer WCAG AA-compliant status messaging, and refreshed interaction text for a more usable interface.
As a preview version the Ontology Manager can be demonstrated and explored, but is not yet an official release. This will be live in the next Pulse release.
Project-Based Visual Ontology Authoring – Provides an intuitive SHACL-first environment for defining classes, properties, relationships, and validation constraints without relying on complex ontology syntax.
OWL-to-SHACL Transformation & Standards Interoperability – Imports existing OWL/RDF models and transforms them into practical SHACL structures, helping organizations reuse established enterprise and industry standards.
Modular Ontology Management & Reference Reuse – Enables teams to extend shared, read-only reference ontologies while keeping local models modular, governed, and easier to maintain.
Human-in-the-Loop Review Sandbox – Stages AI-generated changes for visual review and approval before they are committed, keeping experts in control of the active model.
Baseline Versioning & Enterprise Catalog Preview – Adds immutable model snapshots, restore capabilities, and the foundations for centralized discovery and reuse of enterprise semantic models.
Unified AI Taxonomy Enrichment & Taxonomy Builder Overhaul – Simplifies AI-assisted curation with focused in-context concept enrichment and a more flexible Taxonomy Builder supporting multi-selection, direct workflow entry, and flat or hierarchical concept generation.
Bulk Operations via Multi Drag & Drop – Lets curators move, re-parent, add, or use multiple concepts in a single action, significantly reducing repetitive work during taxonomy restructuring and collection management.
Unified Single Sign-On (SSO) – Extends SSO to MirrorApp, GraphViews, and Semantic Workbench, providing seamless cross-tool access and more centralized identity, MFA, and access governance.
Tagger API Performance & Resilience Optimization – Streams tagging results, handles large asynchronous payloads more efficiently, and allows batch processing to continue when individual documents fail, reducing memory pressure and improving stability at scale.
Explicit Lucene Index Refresh via API – Enables teams to rebuild and warm extraction indexes after taxonomy or data updates, ensuring up-to-date tagging results and more predictable response times.
Governed Full & Incremental Taxonomy Sync – Keeps AEM Tag Manager aligned with Graph Modeling through full baseline synchronization and targeted incremental updates, using concept URIs to preserve existing content references and avoid duplicate tags.
Semantic & Governance Preservation – Carries SKOS metadata, hierarchy, multilingual labels, editorial status, and custom properties into AEM while enforcing Graph Modeling as the authoritative source and safely handling renames, moves, archives, and merges.
Enterprise Scale, Security & Auditability – Supports AEM as a Cloud Service and AEM 6.5, introduces OAuth 2.0 or API-key authentication, provides detailed audit logging, and is designed for taxonomies of 50,000+ concepts with headroom to 100,000.
Auto-Tagging Foundation – Establishes annotation-location registration and polling capabilities so external enrichment pipelines can identify changed AEM content and support future automated tagging workflows.
Incremental Taxonomy Sync & Term Integrity – Replaces full taxonomy resyncs with delta-based updates and safely handles hierarchy changes, term consolidation, and polyhierarchy while preserving stable identifiers, existing tags, and search behavior.
Governance-Aligned Autotagging – Ensures only approved, published concepts are synchronized and available for tagging, with lifecycle changes automatically reflected across connected content repositories.
Multilingual Autotagging & Search – Improves concept detection, tagging, and search consistency for non-English content, strengthening support for global and multilingual Microsoft 365 deployments.
Simplified Deployment & Operations – Reduces configuration and upgrade overhead, making deployments easier to maintain, while incremental synchronization lowers the operational cost of keeping large taxonomies aligned.
Ready-Made GraphDB Components – Provides pre-built components for GraphDB operations, data modeling, transformation, and semantic analytics, reducing the need for custom API integration code.
Content Ingestion for GraphRAG – Introduces reusable document parsing, chunking, and loading workflows for formats such as PDF, DOCX, and TXT, replacing bespoke ingestion pipelines with configurable steps.
Professional Services Task Runner – Gives delivery teams a supported environment for running custom Python inside the platform instead of maintaining scripts externally.
Deployment Foundations – Establishes the Docker image, system architecture, development environment, and operational documentation needed for repeatable enterprise deployments.