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

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.

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

Whether IT leaders opt for the precision of a Knowledge Graph or the efficiency of a Vector DB, the goal remains clear—to harness the power of RAG systems and drive innovation, productivity, and ...