AVIA · Ontology
From raw material to callable knowledge.
Model the entities and relationships inside your data, and expose them as a structured knowledge layer for RAG, agents, and analytics.
How it works
Inputs become a knowledge graph.
Images, documents, and logs are resolved into entities and relationships — then served as a single, queryable source of truth.
Capabilities
Built for teams shipping AI in production.
Entity & relation modeling
Resolve entities across modalities into one coherent graph.
Single source of truth
Ground agents and RAG in structured, governed knowledge — not loose text.
Query & export
Reach the graph by API, or export it on demand into your stack.
1
Source of truth
API
Query the graph
RAG
Grounded retrieval
BYO
Storage & keys
In practice
Where it earns its keep.
Enterprise RAG
Ground retrieval in structured, governed knowledge instead of loose text.
Agent tool grounding
Give agents a queryable source of truth their tools can actually call.
Analytics & search
Expose entities and relationships to analytics and search by API.
FAQ
Questions, answered.
Images, documents, and logs are resolved into entities and relationships across modalities.
Give your agents real knowledge.
AVIA Ontology turns scattered data into a structured layer your AI can call.