As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully ...

Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall - SiliconANGLE ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

Datax Solution FZC, a leading distributor of advanced data and database technologies, announced that it has secured distribution rights for FalkorDB, a high-performance, open-source graph database ...

Background: Stroke is a serious neurological disorder that poses a global health challenge. Traditional Chinese Medicine (TCM) prescriptions have shown potential in its treatment. However, TCM ...

I’m using the LightRAG GitHub code (latest main branch) with Azure OpenAI LLM and embeddings, connected to a PostgreSQL database. I have successfully uploaded several documents into the Knowledge Base ...

For the database world, the future looks extremely challenging—and, even more, exceedingly promising. Looking ahead over the next few years, organizations will be relying on their databases in ways ...

This project demonstrates how to convert a traditional relational database table into a knowledge graph using Neo4j, enabling powerful relationship-based analysis that would be difficult or impossible ...

Abstract: Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly ...