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 ...

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

Sivasubramanian further elaborated that the new service makes it easier for users to uncover hidden relationships across data – by storing the graph and vector data together. He also cited the example ...

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 vector database is set to dramatically improve our productivity and revolutionize how we field queries to computers. Altogether, this makes vector databases one of the most important emergent ...

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 ...

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 ...

HNSW, however, is table stakes for most vector databases, including those of rivals Weaviate and Pinecone. It is one of the most popular graph indexes for building vector databases.

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 ...