datanami.com

Neo4j Finds the Vector for Graph-LLM Integration

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 ...
EurekAlert!

Real-time, large-scale graph neural network inference through BingoCGN

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
Mena FN

Unlocking The Era Of Graph Intelligence: Nebulagraph Enterprise V5.2 Powers The Next Generation Of AI Applications

(MENAFN- GetNews) NebulaGraph v5.2 unlocks AI-ready graph intelligence: 100x faster path queries, native hybrid search (graph + vector + text), and real-time subgraph compute for smarter, faster AI.
TechCrunch

With Neptune Analytics, AWS combines the power of vector search and graph data

There’s been a debate of sorts in AI circles about which database is more important in finding truthful information in generative AI applications: graph or vector databases. AWS decided to leave the ...

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...