Knowledge Graphs
Structured memory for grounded intelligence.
Knowledge Graphs give agents and retrieval systems a durable, queryable representation of entities, relationships, and provenance. At Zansoc they ground generation in enterprise truth — reducing hallucination and enabling explainable traversals across products, industries, and research corpora.
Construction
Extraction pipelines from docs, sensors, and APIs.
Reasoning
Graph-augmented retrieval and planning.
Provenance
Edge-level lineage for every fact.
Governance
Access control at entity and subgraph scope.
Beyond vector-only memory
Embeddings are powerful but opaque. Graphs complement them with explicit relationships — supplier-of, located-in, governed-by — that agents can traverse and cite. Hybrid retrieval uses both modalities.
Living enterprise maps
Graphs update as documents change and sensors report. Conflict resolution and temporal validity keep agents from acting on stale edges.
Security-aware structure
Not every user may see every node. Graph ACLs integrate with enterprise identity so multi-tenant and classified deployments remain possible.