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 ...

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

Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Graph Database technology for Entity-Event Knowledge Graph Solutions, is introducing AllegroGraph 8.0, a ...

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 ...

In the near future, organizations will be data-driven, and the economy will be knowledge ... charts. AWS and Microsoft moving in the domain, with Neptune and Cosmos DB respectively, exposed graph ...

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 ...

TigerGraph’s new hybrid search capability combines its existing graph-based tools for finding connections between data points with a vector search ... the new feature is knowledge base navigation.

AUSTIN, Texas--(BUSINESS WIRE)--Valkyrie, a leading applied sciences lab, announces a groundbreaking achievement in space technology: the launch of the first-ever knowledge graph database beyond ...