Major UI/UX Upgrades to the MatPortal AI Assistant
The MatPortal contextual AI Assistant has received significant updates, including interactive copy buttons for code snippets, a non-obstructive drawer layout, and comprehensive tutorial guides.
The MatPortal contextual AI Assistant has received significant updates, including interactive copy buttons for code snippets, a non-obstructive drawer layout, and comprehensive tutorial guides.
MatPortal News launched reviewed German and French editions for its May and June stories, while German users also gained localized dataset-detail, quality, FAIR, unit-profile, and contextual Assistant guidance.
The MatPortal FAIR Landscape brings ontology O'FAIRe and Dataset FAIR views into one workspace, with separate tabs, selectors, criteria, and scores that are not blended or directly compared.
Chemical Entities of Biological Interest (ChEBI) is now available in MatPortal with class browsing, hierarchy and search results, Annotator and Recommender support, and a downloadable chebi_lite.owl file.
Learn how to discover and review ontology terms across MatPortal. This walkthrough covers read-only exploration and clarifies the scope of the account-gated Ontology Editor.
The MatPortal dataset catalogue launched with 203 public records in the June acceptance snapshot. Browse evolving public metadata, filters, related-ontology context, and source or file links.
Explore ontology structures using the new canvas diagram visualizer. Use browser-local note and grouping tools, and export static diagrams without editing the underlying ontology data.
Users can now request early access to experimental features directly from their Account page. A new Intelligent Systems dashboard helps admins manage these requests.
We have upgraded the underlying Kubernetes infrastructure with a more resilient Netmaker WireGuard mesh, improving the stability of pod-to-pod communications across nodes.
We have upgraded MatPortal's backend with a dense vector retrieval engine and GraphRAG, allowing the assistant to traverse ontology hierarchies for highly accurate domain context.