According to @godofprompt, graph databases offer superior efficiency for dynamic updates in AI-powered knowledge bases compared to traditional vector search methods. When using vector search, any ...

Abstract: The design and analysis of distributed learning for multiagent networks generally resort to the graph-theoretical methods in the leader–follower framework, but how to exploit new ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Neo4j, a leading graph intelligence platform, is releasing Neo4j Fleet Manager—a unified control plane for managing and monitoring graph databases across any environment including cloud, hybrid, and ...

Neo4j, a database company known for its graph-based data technology used in enterprise applications, has released Neo4j Fleet Manager, a control plane for managing graph databases across cloud, hybrid ...

The Graph's Edge & Node launches Amp, a blockchain-native database offering verifiable, efficient access to smart contract data, transforming financial systems with speed and auditability. The Graph's ...

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...

Integrate NeoDB graph database for storing and querying browsing history relationships. Implement the data layer that transforms tracked events into a graph structure representing user browsing ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...