Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Graph database vendor Neo4j announced today new capabilities for vector ...

Google is hosting a version of its Cloud Next conference in Tokyo this week, and it’s putting the focus squarely on tweaking its databases for AI workloads (because at this point in 2024, AI is the ...

SurrealDB 3.0 launches with $23M in new funding and a pitch to replace multi-database RAG stacks with a single engine that handles vectors, graphs, and agent memory transactionally.

The rise of generative AI has transformed the landscape of data storage and analysis, but it’s also showcasing the importance of key data management approaches, especially between graph and vector ...

Graph database company Neo4j Inc. said today it’s embarking on a multiyear strategic collaboration with the cloud computing giant Amazon Web Services Inc. to enable enterprises to enhance the ...

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 ...

The database is no longer just where data lives, but where context gets assembled. And in AI, context is everything. Developers have spent the past decade trying to forget databases exist. Not ...

TigerGraph Inc. is upgrading its graph database with a hybrid search capability designed to power artificial intelligence applications. The Redwood City, California-based startup debuted the feature ...

The vector database cloud service may attract developers with performance and cost advantages over traditional databases for AI-related workloads, analysts say. San Francisco-based Zilliz has released ...