Why every eCommerce platform needs a knowledge graph: better search, smarter recommendations, and AI-powered enterprise ...

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

FlureeDB acts as a secure context layer fit for autonomous systems: pull from many data sources wherever they live, answer ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Franz Inc., an early innovator in artificial intelligence (AI) and leading supplier of graph database technology for Neuro-Symbolic AI Solutions, is introducing AllegroGraph v9.0, featuring ...

Abstract: Graph database engines play a pivotal role in efficiently storing and managing graph data across various domains, including bioinformatics, knowledge graphs, and recommender systems. Graph ...

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 ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Work AI leader Glean today unveiled the third-generation Glean Assistant - an AI extension of you at work - now capable of deeply personalizing results and actions ...

Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping capabilities, saying the enhancements enhance Fabric’s capacity to power ...