A Strategic Fusion of Generative AI and
Knowledge Graph Technologies

Ground your Generative AI processes in transparent, human-editable knowledge models. By integrating knowledge graphs in RAG technologies, you can leverage a powerful combination that enhances data retrieval, contextual understanding, and the generation of insightful, accurate content, supporting more precision and transparency.

Utilize process-oriented taxonomies and ontologies to guide Retrieval-Augmented Generative decision-making, ensuring appropriate refinement questions and recommended next steps.

Use single-source-of-truth enterprise taxonomies to provide consistent quality metadata across multiple content repositories.

Continuously enrich an enterprise knowledge graph that infers new knowledge from the semantic associations and similarities of entities.