A Vector DB stores and manages unstructured data — text, images, audio, etc. — as vector embeddings (numerical format). These embeddings capture the semantic relationships between the data points.

With the existing capabilities of Neoj4, Eifrem said that the graph database captures explicit relationships between concepts. What vectors do is draw out implicit relationships in data.

One of the best-known graph databases is Neo4j, which recently announced support for the enterprise version of its cloud-hosted service, Aura, on Azure.Available in the Azure Marketplace, it’s a ...

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 ...

TigerGraph, the enterprise AI infrastructure and graph database leader, is releasing its next generation graph and vector hybrid search, delivering the industry's “most advanced” solution for ...

The vector database cloud service may attract developers with performance and cost advantages over traditional databases for AI-related workloads, analysts say. San Francisco-based Zilliz has ...

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 ...

Neo4j’s graph database technology notably surfaces and connects relationships between data entities, offering a thorough understanding of an organization’s data estate. While graph technology can ...

TigerGraph Inc. is upgrading its graph database with a hybrid search capability designed to power artificial intelligence applications.The Redwood City, California-based startup debuted the featu ...

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.