Knowledge Graph

Knowledge Graph (KG) grounds AI to avoid hallucinations and provide accurate business context. AI agents enabled via KG can combine enterprise knowledge, business data, and AI for the best outcomes. Within Apeiro, KG moves from costly use-case-specific knowledge modeling to self-describing semantics (via ORD) and model-driven centralized access to metadata (via UMS).

• Business Context for Agentic AI: Extracts metadata sources aggregated via UMS and retrieved via ORD, making them accessible for AI-related processes and grounding AI to avoid hallucinations.
• Semantic Layering on Metadata: Generates a derived modeling layer based on metadata sources using automated KG modeling and AI methods, including link generation, graph clustering, and generative AI enrichment.
• AI-Driven Knowledge Modeling & Extension: Enables domain experts with methods for agentic knowledge modeling, scaling toward a decentralized approach of KG generation across enterprises.