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 ...

Oracle Corp.’s flagship database management system is now available as a cloud service. Oracle Database 23ai features vector search and more than 300 additional major features, with many focused on ...

One of the common debates in the AI circles is whether using graph or vector databases offers more truthful information in generative AI (GenAI) applications. While graph data is great at representing ...

The arc of the vector database story has followed a classic path: A pervasive hype cycle, followed by introspection, ...

Once you get past the chatbot hype, it’s clear that generative AI is a useful tool, providing a way of navigating applications and services using natural language. By tying our large language models ...

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 ...

Microsoft Corp. today is introducing updates across its database portfolio as part of general availability announcements for Azure DocumentDB and SQL Server 2025.

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 ...

VCs are hungry to back vector database startups and other behind-the-scenes tech that improves AI. Vector databases store and structure data that LLMs can then pull from. Business Insider has ...

There’s been a debate of sorts in AI circles about which database is more important in finding truthful information in generative AI applications: graph or vector databases. AWS decided to leave the ...