Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...
Business Wire

Valkyrie to Make History with First-Ever Knowledge Graph Database on the Moon

AUSTIN, Texas--(BUSINESS WIRE)--Valkyrie, a leading applied sciences lab, announces a groundbreaking achievement in space technology: the launch of the first-ever knowledge graph database beyond Earth ...
SiliconANGLE

Neo4j and AWS team up to enhance generative AI applications with graph database technology

Graph database company Neo4j Inc. said today it’s embarking on a multiyear strategic collaboration with the cloud computing giant Amazon Web Services Inc. to enable enterprises to enhance the ...
SiliconANGLE

Memory for the machine: How vector databases power the next generation of AI assistants

When Aquant Inc. was looking to build its platform — an artificial intelligence service that supports field technicians and agents teams with an AI-powered copilot to provide personalized ...
dbta

The Potential of Graph Databases and Knowledge Graphs

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...
dbta

TigerGraph Provides Comprehensive Solution with the Addition of Hybrid Search to its Graph Database

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 ...
ZDNet

Neo4j CEO: Why graph databases and AI belong together

Thanks to another round of funding, Neo4j is investing in how its graph database technology can combine with artificial intelligence. Speaking to ZDNet from November's WebSummit in Lisbon, the company ...