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 ...

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

A context graph could capture the full context, reasoning, and causal relationships behind critical business decisions. It’s ...

Anthropic kicked off the SaaS Apocalypse when they showed that enterprise applications could be cheaply and quickly built.

Collaboration aims to tackle one of autonomous vehicle industry’s biggest challenges, namely proving how systems make independent decisions as the sector moves towards higher levels of autonomy.

As industrial systems become more connected and data-rich, engineering leaders are facing new challenges around scale, ...

RAG retrieves documents but not decision logic, causing agents to act on expired rules. Decision context graphs encode ...

For most enterprise applications, vector support is a feature that should be woven into the existing data estate, not a reason to add a second source of truth.

Anthropic kicked off the SaaS Apocalypse when they showed that enterprise applications could be cheaply and quickly built.

What if the knowledge that could fuel the next scientific breakthrough has simply been forgotten in an old graph or table? Valuable scientific insights may already exist across decades of published ...

Resources for observational comparative research have expanded enormously in recent years to include very large sources of ...