In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

Andreas Kollegger at Neo4j explains why developers are finally taking centre stage in enterprise AI Generative AI has moved from novelty to necessity. Across the UK, millions of workers are now using ...

Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...

What if your AI could not only retrieve information but also uncover the hidden relationships that make your data truly meaningful? Traditional vector-based retrieval methods, while effective for ...

ABSTRACT: In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The ...