When to choose Knowledge Graphs vs. Vector DBs Specific use cases where Vector DBs excel are in RAG systems designed to assist customer service representatives.

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 ...

To put this conceptually, imagine a company with a large selection of products which requires them to have the ability to find any item quickly and easily, no matter what they are looking for. Acting ...

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 ...

REDWOOD CITY, Calif., March 04, 2025 (GLOBE NEWSWIRE) — TigerGraph, the enterprise AI infrastructure and graph database leader, today announced its next generation graph and vector hybrid search ...

Today, ApertureData announced $8.25 million in seed funding alongside the launch of a cloud-native version of their graph-vector database.

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. “Neptune ...

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 ...

REDWOOD CITY, Calif., March 04, 2025 (GLOBE NEWSWIRE) -- TigerGraph, the enterprise AI infrastructure and graph database leader, today announced its next generation graph and vector hybrid search ...