Abstract: Regular path queries (RPQs) in graph databases are bottlenecked by the memory wall. Emerging processing-in-memory (PIM) technologies offer a promising solution to dispatch and execute path ...

This project demonstrates how to build a complete agentic knowledge graph system using Kuzu, a powerful lightweight, embeddable graph database that can be integrated directly inside AI systems without ...

The Graph's Edge & Node launches Amp, a blockchain-native database offering verifiable, efficient access to smart contract data, transforming financial systems with speed and auditability. The Graph's ...

The growing need to have a high level of agility, predictive analytics, and actionable insights in real-time has led to a continued increase in the demand for graph database solutions. Based on the ...

Abstract: As we know, power flow calculation is fundamental to power systems. Currently, the mainstream power flow algorithms utilize programming for power flow calculations. However, when faced with ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Using SQLite database with the docker image fails because of disabled cgo on image build.

In this tutorial, we demonstrate how to construct an automated Knowledge Graph (KG) pipeline using LangGraph and NetworkX. The pipeline simulates a sequence of intelligent agents that collaboratively ...

In this tutorial, we’ll build an end‑to‑end ticketing assistant powered by Agentic AI using the PydanticAI library. We’ll define our data rules with Pydantic v2 models, store tickets in an in‑memory ...

The party’s storehouse of everything it knows about American voters required an extraordinary intervention to keep it running, people involved said. A meltdown could have crippled its campaigns ...