Example of a sub-graph constructed from the QIAGEN biomedical knowledge graph. In this knowledge graph representation, gene and gene product entities are aggregated at the ortholog cluster level.

What exactly are knowledge graphs, and what's with all the hype about them? Learning to tell apart hype from reality, defining different types of graphs, and picking the right tools and database ...

Lyft's "Amundsen" metadata system is an example of how knowledge graphs are spreading throughout companies with grass-roots projects. It's all part of winning hearts and minds, in the view of ...

For example, here is a Knowledge Graph result that appears for online computer hardware and software retailer Newegg. The ideal result for them would be a branded Knowledge Graph result.

For example, they recently released the Knowledge Graph Carousel for local searches, as well as expanded the Knowledge Graph to include nutritional information on over 1000 foods.

Data warehousing is good for static BI projects, but knowledge graphs must be able to power insights in real time, otherwise they simply won’t work for applications like real-time recommendations, ...

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

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

But how do knowledge graphs work in practice? Well, one of the best examples is its effect on SEO. How knowledge graphs work with SEO ...

To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems. Yet standard enterprise data stores aren't a good fit to train large ...