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 ...

Graph database vendor Neo4j announced today new capabilities for vector search within its graph database.. Neo4j’s namesake database technology enables organizations to create a knowledge graph ...

As the saying goes, context is everything – and this is certainly the case with AI. To be useful, AI systems need to be able to understand nuance and deliver accurate, relevant results. Our ability to ...

Knowledge graphs are hyped. We can officially say this now, since Gartner included knowledge graphs in the 2018 hype cycle for emerging technologies. Though we did not have to wait for Gartner ...

Neo4j (a graph database) can be used in conjunction with LLMs for social networks or knowledge graphs. Limitations. Vector capabilities of NoSQL databases are either very basic or are so new that ...

According to Gartner’s Top 10 Data and Analytics Trends for 2021, knowledge graphs are the foundation of modern data and analytics, with capabilities to enhance and improve user collaboration ...

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.

Neo4J offers developer services to power applications with knowledge graphs, backed by a graph database with vector search. Rathle writes in full as follows… Early this year, ISO published a new ...