Wanted: Chief Disinformation Officer to pollute company knowledge graphs Researchers affiliated with universities in China and Singapore have devised a technique to make stolen knowledge graph data ...

Abstract: Integrating local domain knowledge bases into domain-specific Question Answering (QA) systems enhances their professionalism and effectiveness. Recently, the Graph-based Retrieval-Augmented ...

Memgraph, a leader in open-source in-memory graph databases purpose-built for dynamic, real-time enterprise applications, is releasing two new tools specifically architected to open up the power of ...

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 ...

Large Language Models (LLMs) have set new benchmarks in natural language processing, but their tendency for hallucination—generating inaccurate outputs—remains a critical issue for knowledge-intensive ...

Issue Tracking Systems are a valuable and ever-evolving source of knowledge, as team members can read, update, expand, and act on the captured information. We use the term work items to refer to any ...

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 ...