They require a knowledge graph. 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 ...

All of these issues can be minimized by supporting your new internal corpus-based LLM by a knowledge graph. A knowledge graph is an information-rich structure that provides a view of entities and ...

Converting telemetry data to a knowledge graph involves structuring and linking the raw data collected from sensors and devices into a network of entities and relationships. This transformation ...

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

Fortunately, these issues can be remedied or palliated. The drawbacks of LLMs can be significantly addressed by supporting them with knowledge graphs built atop modern graph database engines. Strong ...

Knowledge Graphs can help address some of these challenges by making LLMs more transparent, accurate, and explainable. Franz, one of the early adopters of AI and a leading supplier of Graph Database ...