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

For example, a US GAAP knowledge graph clearly defines the sum of “Cash and Cash Equivalents,” “Interest Bearing Deposits in Banks,” and “Due from Banks” as “Cash and Cash Equivalents.” By integrating ...

Explore the role of content knowledge graphs in enhancing your marketing strategy and improving information retrieval with structured data.

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.

For example, Chat GPT 4 turbo has a cut-off date of April 2023. Knowledge graphs come into play by serving as a dynamic, up-to-date database that LLMs can query.

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 ...

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 ...

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.

Understand the building blocks of knowledge graphs – entities, relationships and attributes – and how they relate to information retrieval.

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.