By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable.

A knowledge graph, is a graph that depicts the relationship between real-world entities, such as objects, events, situations, and concepts. This information is typically stored in a graph database ...

Context, not content, now drives AI visibility, making structured data the strategic data layer every enterprise must ...

Learn how large language models like ChatGPT make knowledge graph creation accessible, revealing hidden connections in your data.

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

The enterprise knowledge graph is a knowledge representation system based on graph structures. It integrates multi-source data from both internal and external sources (such as business information, ...

We have fed the 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.

More insights into the E-E-A-T Knowledge Graph 2023 update, the evolution of Knowledge Panels and the importance of E-E-A-T signals.