Vector databases are more suitable for tasks involving similarity and machine learning, while knowledge graph databases excel in modeling and querying interconnected, complex, semantically rich data.

The fundamental building block of the Neo4j database is the knowledge graph. Eifrem explained that with a traditional relational database, an organization keeps all of its data in rows and tables.

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 ...

SAP HANA Cloud now offers more context-aware AI solutions on its single, multi-model platform that brings together vector, graph, text, spatial, and relational data natively. Rather than sending data ...

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those ...

The first issue is due to the computation time needed to go back and forth from the LLM to the graph or vector databases. It could take up to 10 seconds with our project to obtain answers to very ...

He explained that the new service helps customers analyze existing Neptune graph data or data lakes on top of S3 storage, taking advantage of vector search to find key insights.

Apple's iOS 26 and iPadOS 26 public betas are releasing any minute now; Every iPhone model getting iOS 26 and which ones won't; How to download the iOS 26 beta on your iPhone ...