Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management.

A knowledge graph is a representation of a collection of real-world concepts (i.e., nodes ... contains the :RETAIL_ORDER and :SalesDB. In the previous example, we focused on a core data catalog ...

For example, a user might input a question like “Which policies have a high-risk rating?” and the LLM can generate a Cypher query to extract the relevant data from the graph. The knowledge ...

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect ... to make semblance of the relationships between things.” A common example of a ...

It structures data in a meaningful way, enabling greater efficiencies and accuracies in retrieving information. LinkedIn, for example, uses a knowledge graph to structure and interconnect data ...

Learn how GraphRAG transforms unstructured text into structured data, revolutionizing AI retrieval with deeper insights and ...

Signals are converging and leading me to believe that 2025 is the Year of the Knowledge Graph. But before we get carried away ...

How does the journey to a knowledge graph start with unstructured data—such as text, images, and other media? The evolution of web search engines offers an instructive example, showing how ...

Whether IT leaders opt for the precision of a Knowledge Graph or the efficiency ... all of the attention, the real magic is happening behind the scenes where complex data organization and ...