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.
Tech Feature
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.
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.”