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.

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 ...

Cassie Shum, VP of Field Engineering at RelationalAI, joins host Keith Shaw on DEMO to showcase how enterprises can unlock ...

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

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 ...

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 ...

The groundbreaking Neural-Symbolic AI platform incorporates LLM components directly in the SPARQL along with vector generation and vector storage to create a comprehensive AI Knowledge Graph. It also ...

Data is a collection of facts in a raw or unorganized form, such as numbers or characters. Without context, data does not mean much. For example, "18122020" is just a sequence of numbers.