In the previous example, we focused on a core data catalog ontology ... of the flexibility of the graph model and its ability to power questions. The knowledge-graph data model is by definition ...

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 ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Enterprise knowledge graphs’ representation of an organization’s content and data creates a model that integrates structured and ... of the relationships between things.” A common example of a ...

Knowledge graphs can provide a solution, effectively modeling organizational hierarchies, user roles and access permissions. Developed to handle large amounts of interconnected data, they ...

Therefore, we have focused our work on integrating data ... knowledge graph with the same information we used for the RAG. Is the quality of the answers better? Let’s see on the same example.

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 ...

In the third pattern we intercept messages going to and from the LLM and enrich them with data from our knowledge graph. For example ... creates a “student” model. The student model ...

The model for the Dimensions Knowledge Graph was built using metaphactory’s semantic modeling interface, which is based on open standards and supports data reusability across all use cases and ...