Knowledge graphs have evolved to power modern AI, progressing into many varieties such as Knowledge Graph Embeddings (KGE), Domain Knowledge Graphs (DKG), and Retrieval-Augmented Generation (RAG) ...

Researchers thought that they were five years away from solving a math riddle from the 1980's. In reality, and without knowing, they had nearly cracked the problem and had just given away much of the ...

Neo4j, a leading graph database and analytics company, is introducing Neo4j Aura Graph Analytics, a new serverless offering that can be used with any data source and with Zero ETL (extract, load, ...

TigerGraph, the enterprise AI infrastructure and graph database leader, is releasing its next generation graph and vector hybrid search, delivering the industry's “most advanced” solution for ...

Dublin, Jan. 31, 2025 (GLOBE NEWSWIRE) -- The "Knowledge Graph Market by Solution (Enterprise Knowledge Graph Platform, Graph Database Engine, Knowledge Management Toolset), Model Type (Resource ...

Knowledge Management requires a new data model approach that unifies typical enterprise data with knowledge bases such as taxonomies, ontologies, industry terms and other domain knowledge. Franz’s ...

DQ: Could you tell us about the Graph for All Million Dollar Challenge in detail? Dr Yu Xu: The Graph for All Million Dollar Challenge is a global search for innovative ways to harness the power of ...

Dgraph Labs, a San Francisco-based company developing transactional distributed graph database software, today announced that it’s closed an $11.5 million in series A funding round led by Redpoint ...