Urgent.News

What's breaking now, across thousands of outlets.

Tech

TrustGraph 2.9: A Config-Driven Workbench, Leaner Core, and Smarter Catalog Loading

San Francisco, CA — TrustGraph 2.9 is here. This release is led by the most significant evolution of the TrustGraph Workbench to date: a fully config-driven navigation system, a DCAT catalog welcome experience, embedded semantic search, an in-app documentation viewer, a streaming demo data loader, and IAM administration plugins — all delivered as composable, manifest-driven plugins. Alongside the…

TrustGraph 2.9 arrives, featuring a configurable Workbench, improved catalog loading, and smarter search capabilities. The workbench now relies on JSON configuration files to define navigation routes, tab layouts, and component bindings, allowing teams to easily modify the interface without changing code. The Workbench opens to a DCAT catalog display, featuring datasets with thumbnails, keywords, access buttons, and documentation links.

An embedded semantic search system enables users to search the knowledge graph using embedding-based techniques, with visual cues for entity types and search results. Documentation now renders inline, with markdown rendering, custom image resolution, and back-button navigation. A new streaming Turtle parser and bulk import plugin simplifies dataset loading, supporting a wide range of data types and providing a progress overlay for large loads.

The bulk API now supports named graphs, enabling catalog loading over WebSocket. The LangChain dependency has been removed, and HuggingFace embeddings have been replaced with direct library usage, resulting in smaller container images and a more controllable dependency surface.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at dev.to →

More in Tech

Unmasking Python's Triple Quotes: Why My 'Comments' Weren't Documenting Anything!

Okay, so I've been diving deeper into Python lately, and it's been an absolute blast! But like any new adventure, there have been a few head-scratching moments. One recently involved comments.

  • Triple quotes in Python serve a specific purpose beyond simple comments.
  • Docstrings provide formal documentation for code components.
  • Docstrings become part of the code and can be accessed programmatically.

More from Wednesday 23 September →