The knowledge graph can be inspected, QA-ed, and curated. Importantly, the knowledge graph is explicit and deterministic about its answers in a way that LLMs are not. In the second approach, instead ...

Knowledge graphs—machine-readable data representations that mimic human knowledge—are bridging the gap between proprietary enterprise data and safe, reliable, helpful LLMs.

How to use knowledge graphs to improve customer experience — digging into the healthcare example.

The evolution of web search engines offers an instructive example, showing how knowledge can be extracted from unstructured sources and refined over time into a structured, interconnected graph.

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

In the new knowledge-based digital world, encoding and making use of business and operational knowledge is the key to making progress and staying competitive. Here's a shortlist of technologies ...

Brands invest heavily in content. Knowledge graphs make this actionable, improving resources and providing deeper insights.

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Learn when using entity-based SEO strategies can give you an edge – and how to implement them without wasting effort.