Ontology Modeler

The Problem

Context engineering for enterprise AI requires strong ontologies, business semantics, metadata, and governance policies. Without a structured semantic backbone, agents and LLMs struggle with hallucinations and siloed domain logic. Ontology Modeler allows teams to rapidly create, visualize, and bootstrap seed ontologies for business processes.

The Architecture Solution

Combines dense pgvector embeddings with automated entity-relationship ontology builders and HNSW vector clustering for multi-agent reasoning.

Key Innovations

• Automated Concept Ontology & Dynamic Graph Topology Synthesis
• Sub-15ms HNSW Approximate Nearest Neighbor Vector Search in PostgreSQL
• Hybrid Dense-Sparse (pgvector + BM25) Cross-Encoder Reranking
• Multi-Tenant Domain Hierarchy Partitioning