Now, it's extending this foundation using a vector database to enhance its existing knowledge graph and graph database for AI use cases. An essential component for building more trustworthy AI lies in ...

The vector database market is experiencing rapid growth, with projections estimating it will reach $10.6 billion by 2032, ...

Graph databases and knowledge graphs, alongside other technologies like vector databases, “re-emerged recently to provide better interfaces into RAG frameworks,” said Yuval Perlov, CTO at K2view. “Our ...

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 ...

VCs are hungry to back vector database startups and other behind-the ... Read next BI Tech Memo An icon in the shape of an angle pointing down.

Chroma helps manage vector embeddings, or numerical representations of data AI models can process ... Read next BI Tech Memo An icon in the shape of an angle pointing down.

His team is building a talent mapping database using Neo4j technology to build a knowledge graph to show the relationships between people, skills, and projects. Meza and his team are currently ...

Oracle Database 23ai is now in long-term support release, bringing with it Oracle AI Vector Search and more than 300 additional major features. The new release focuses on three key areas - AI for Data ...

Today, its core offering is a NoSQL database that’s optimized for real-time use cases at scale. In 2022, Aerospike added document support and then followed that up with graph and vector ...