G.V() now supports Ultipa Graph Database
We’re excited to welcome yet another new graph database system to the G.V() suite! As of our latest release, we are now fully compatible with Ultipa Graph, Ultipa provides a number of tools for graph database management systems. The newest version of Ultipa Graph, known as Ultipa Powerhouse, is based upon a hybrid structure across multiple server types, with the goal of maintaining both data locality and computational efficiency. Ultipa offers full support for the Graph Query Language or GQL, the first ISO/IEC standardized language for graph databases.
The Weekly Edge: LDBC No More, Memgraph 3.5, FinCrime (Prevention), & More [25 September 2025]
Discover what’s new in the world of graph technology this week, including the end of the LDBC (as we know it), a new graph approach to smart buildings, and more.
Full Steam Ahead! Fast-Tracking Your Graph Creation with Nodestream
Discover what’s possible with Nodestream: a declarative framework for building, maintaining, and analyzing graph data, compatible with Neo4j & Amazon Neptune.
The Weekly Edge: Graphs in Microsoft Fabric, Data Day Texas, EdTech & More [19 September 2025]
Discover what’s new in the world of graph technology this week, including a Graphs in Fabric announcement from Microsoft, a rundown of Data Day Texas, and more.
A Spotlight on Cognee: the memory engine for AI Agents
Cognee has developed a framework geared towards constructing AI memory. This means they turn your documents into a persistent memory layer, one that can be carried forward and queried across all language model queries.
The Weekly Edge: Infinigraph, GQL in KQL, Youtu-GraphRAG & More [12 September 2025]
Discover what’s new in the world of graph technology this week, including 3 big releases from Neo4j, Microsoft Fabric Graph, and ArcadeDB, plus more.
Getting started with Memgraph and G.V()!
Memgraph+G.V() is a classic combination that turns your computer into a formidable tool for analysis and visualization, which is exactly what we’d like to show you today. We’ll first explore how to get started with Memgraph itself and use some of Memgraph’s own built-in visualization options, then we’ll show how G.V() can unlock even more of Memgraph’s potential.
The Weekly Edge: Public Endpoints in Neptune, Agentic GraphRAG, New Graph Algo [5 September 2025]
Discover what’s new in the world of graph technology this week, including Amazon Neptune news, an Apache TinkerPop release, and a Dijkstra’s algorithm ouster.
G.V() is now compatible with FalkorDB
Descended from RedisGraph technology, FalkorDB is a versatile graph database that excels in multiple use cases. Its powerful GenAI-focused approach is ideal for applications such as GraphRAG, agentic memory, chatbots, fraud detection and cyber security – all of this while boasting multi-tenancy support, ultra-low latency, flexible horizontal scaling, vector search and highly efficient memory usage.
G.V() 3.38.90 Release Notes: FalkorDB support, improved graph styles
G.V() 3.38.90 is out now! This newest version includes a number of exciting updates – most notably we have added full FalkorDB support. We’ve also added several new quality-of-life features and fixes, including an improved stylesheet interface that makes customizing your graph visualization easier than ever!
The Weekly Edge: Neptune on R8g, Graph Learning, & More [29 August 2025]
Discover what’s new in the world of graph technology this week, including a new podcast with Paco Nathan, a knowledge graph tutorial, and more.
From raw data to a knowledge graph with SynaLinks
SynaLinks is an open-source framework designed to make it easier to partner language models (LMs) with your graph technologies. Since most companies are not in a position to train their own language models from scratch, SynaLinks empowers you to adapt existing LMs on the market to specialized tasks.