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

Want to prepare for the future of search? Learn practical natural language processing (NLP) while building a simple knowledge graph from scratch.

Think of knowledge-graph-powered data catalogs as the search engine for the data in the enterprise.

In a new study, Amazon researchers propose a technique that improves the performance of knowledge graphs, which capture complex relationships.

Diffbot’s AI model leverages this resource by querying the graph in real time to retrieve information, rather than relying on static knowledge encoded in its training data.