Learn more about how the latest release of G.V() now supports RDF triplestores and the SPARQL query language with autocomplete, visualization, and more.

When we present QLever, people often ask "how is this possible" as our speed and scale is on another dimension. We now have a page in the wiki that goes into a bit more detail on why and how this is possible. In short: • Purpose built for large scale graph data, not retrofitted • Indexing optimized for fast queries without full in-memory loading • Designed in C++ for efficiency and low overhead • Integrated full text and spatial search in the same engine • Fast interactive queries even on hundreds of billions of triples Link to the wiki page in the comments.

Qlever: graph database implementing the RDF and SPARQL standards. Very fast and scales to hundreds of billions of triples on a single commodity machine. Sounds to good to be true, anyone tested this out? https://lnkd.in/esXKt79J #GraphDatbase #ontology #RDF | 14 comments on LinkedIn

A sophisticated knowledge graph memory system that stores interconnected information with rich semantic structure using Neo4j. - shuruheel/mcp-neo4j-shan

Ever caught yourself bouncing between your code editor and database client just to test a single query? Annoying, right? That context switching kills your flow. Now you can bring the Ultipa VS Code Extensions for ISO GQL to your workflow! Write, validate, and execute ISO GQL queries right where you

Our SPARQL Notebook extension for Visual Studio Code makes it super easy to document SPARQL queries and run them, either against live endpoints or directly on local RDF files. I just (finally!) published a 15-minute walkthrough on our YouTube channel Giant Global Graph. It gives you a quick overview of how it works and how you can get started. Link in the comments. Fun fact: I recorded this two years ago and apparently forgot to hit publish. Since then, we've added new features like improved table renderers with pivoting support, so it's even more useful now. Check it out! | 11 comments on LinkedIn