Neo4j created the property graph model and is the leading graph database in the market, used by more than 75 of the Fortune 100. More details on Neo4j's vector index search capability can be found ...

TL;DR Key Takeaways : GraphRAG uses knowledge graphs instead of traditional vector databases, allowing deeper insights and relationships within datasets through structured data representation. It ...

The humble database offers the key to giving AI context and adaptation, accessing data beyond its training cutoff.

These include updates to its Spanner SQL database, which now features graph and vector search support, as well as extended full-text search capabilities. This wouldn’t be a Google announcement ...

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 ...

Neo4j's full graph stack delivers powerful native graph storage with native vector search capability, data science, advanced analytics, and visualization, with enterprise-grade security controls ...

Google's Gary Illyes confirmed that Google uses a form of MUVERA but appeared to be less clear about Graph Foundation Model ...

In 2024, vector database technology has become table stakes for enterprise AI deployment. Nearly every database vendor has some form of vector implementation, including Oracle, Microsoft, Google ...

Vector databases store and retrieve unstructured data (e.g., images, text, audio) using vector embeddings, allowing semantic search and bridging the “semantic gap” between human and machine ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...