Neo4j, a leading graph intelligence platform, announced an agreement to acquire GraphAware, an intelligence analysis software company for government agencies-enabling Neo4j to launch a new generation ...

Graph intelligence leaders will join forces to deliver a customer-proven, open-standards intelligence analysis platform that ...

OutSystems today introduced the Agentic Systems Platform and the OutSystems Agent Experience, a new platform layer that exposes a suite of A2A and MCP tools and services.. “Enterprise leaders are ...

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

Two editions of an open-source LLM Knowledge Base purpose-built for team chat — Open Source (Apache 2.0) for individuals · Enterprise for teams. A searchable, ...

Neo4j, the graph database from the US-Swedish company of the same name, is used by 76% of the Fortune 100, and its Australian customers include organisations in the healthcare, policing and banking ...

DELRAY BEACH, Fla., April 29, 2026 /PRNewswire/ -- According to MarketsandMarkets, the Knowledge Graph Market is projected to reach USD 9.88 billion by 2032 from USD 1.90 billion in 2026, at a ...

Lovelace, led by the former head of Google Cloud AI, says its platform will make LLMs and agentic AI systems more reliable ...

Obsidian Note Taking reshapes how information is captured, connected, and rediscovered by turning simple Markdown files into a dynamic, interconnected system. Instead of isolating notes in folders, ...

Students who use AI tools extensively may struggle with knowledge retention, according to new research. Brazilian social scientist Andre Barcaui looked at two groups of students, one using ChatGPT as ...

Abstract: This work introduces a new method using Natural Language Processing (NLP) and Neo4j to construct a multi-linked knowledge network from cricket commentary. The proposed system extracts ...

Abstract: Graph Machine Learning (GML) with Graph Databases (GDBs) has gained significant relevance in recent years, due to its ability to handle complex interconnected data and apply ML techniques ...