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

As Amazon product graph applied scientist Hao Wei explains in a blog post, the advantage of knowledge graphs — mathematical objects consisting of nodes and edges — is that they can capture ...

We will return later to the integration of tool APIs, but for the rest, we see the elements of a RAG approach, along with the knowledge graph. Note the presence of a “prompt processing” component.

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.

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 ...