Stop Right There: Conducting Fraud Detection with Aerospike Graph
Discover how to detect fraudulent financial transactions with speed and accuracy using G.V() and Aerospike Graph Database in this developer walkthrough.
Amber Lennox
About Amber Lennox
Posts by Amber Lennox:
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.
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.
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.
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.
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!
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.
Game changer? A first look at the Hydra project
Hydra is a programming language that uses mathematical abstraction to model graphs within the language itself. It’s an open-source project spearheaded by Josh Shinavier, co-creator of Apache TinkerPop. In Josh’s own words: “In Hydra, programs are graphs, and graphs are programs.”
G.V() is now compatible with Oracle Graph
G.V() is now compatible with Oracle Graph on Oracle Database 23ai, bringing access to instant graph visualization for property graphs built atop your relational data.
![Amazon Neptune 101: Creating & Connecting to Your First Cluster [Developer Walkthrough]](https://gdotv.com/wp-content/uploads/2025/06/amazon-neptune-graph-database-developer-guide.png "Amazon Neptune 101: Creating & Connecting to Your First Cluster [Developer Walkthrough]")
Amazon Neptune 101: Creating & Connecting to Your First Cluster [Developer Walkthrough]
Learn how to get started with Amazon Neptune graph database with this developer guide that walks you through setting up and connecting to your first cluster.
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