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 ...

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 ...

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 ...

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 ...

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 ...

In his view, database vendors that have multi-model approaches where the vector is just another data type are not able to outperform Pinecone.