To make AI possible, you need to create connections between vast quantities of data. That’s where tech like graph databases come into play. Graph databases handle fast-changing, interconnected data ...

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 ...

Through natural language queries and graph-based RAG, TigerGraph CoPilot addresses the complex challenges of data analysis and the serious shortcomings of LLMs for business applications. Data has the ...

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 ...

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Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now As enterprises continue to double down on ...

Wikidata has built the semantic web backbone supporting knowledge cards in popular engines. Now, it's extending this foundation using a vector database to enhance its existing knowledge graph and ...

Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...

REDWOOD CITY, Calif., March 04, 2025 (GLOBE NEWSWIRE) -- TigerGraph, the enterprise AI infrastructure and graph database leader, today announced its next generation graph and vector hybrid search ...

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 ...

Graph AI, a California-based AI life sciences company that focuses on patient safety and pharmacovigilance, announced the close of its USD 3 million seed funding round, led by Bessemer Venture ...