FlureeDB acts as a secure context layer fit for autonomous systems: pull from many data sources wherever they live, answer structured queries fast and efficiently, carry citations and lineage on every ...

For the Cancer Calculus, ICIJ’s data team created datasets using records from patent offices and courts, and analyzed the opaque pricing of a lifesaving drug with a sky-high price tag. New data shows ...

Graphs are a data structure that has gained a lot of traction in recent years. It is one of the most, if not the most flexible data structures, well adapted for solutions requiring speed and depth.

neo4j-labs/agent-memory ships two SDKs with the same memory model, both backed by the NAMS hosted service. Pick the one that matches your stack — mixed Python + TypeScript agents read and write the ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...

This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...

GraphRAG has garnered significant attention recently, with numerous libraries and packages emerging to facilitate seamless implementation. In this blog, we will delve into the concept of Knowledge ...

We'll walk through example code based on Neo4j Desktop and the Graph Data Science (GDS) library to run Cypher queries on the graph, preparing data for downstream analysis and visualizations with ...

Nowadays, Knowledge Graphs (KGs) are important and developing in different areas. However, there is a lack of genuinely interoperable datasets representing mathematics that allow for information ...

Unlike most tech markets, the decades-old global database market keeps growing faster, even as it tops $100 billion in size. The cause? The shift to cloud and attempts to take advantage of AI. Like ...