About Trustgraph
TrustGraph is an open source platform that turns raw and unstructured data into ontology grounded knowledge for AI agents. It builds a semantic graph from ingested data, links entities and relationships, and retrieves connected answers with traceability, so agent responses and tool calls rest on structured, auditable knowledge instead of loose text chunks. The vendor describes it as a semantic intelligence layer for ontologies and says it is portable across systems that follow the RDF and OWL standards.
It is built for teams putting agents into production who need grounded retrieval, governance and reproducibility. Features include automated graph construction, a method the vendor calls OntologyRAG that uses an ontology to extract domain knowledge, reusable knowledge cores that can be loaded and removed at runtime, a three dimensional graph visualization and relationship analysis. A configuration builder run with a single npx command generates a deployment package for Docker, Kubernetes or Minikube and lets the user choose a language model provider such as Anthropic, OpenAI, Google, Mistral or Ollama. A hosted Playground is available for trying version 2.9, and the site offers guides on ontologies, OntologyRAG and determinism for AI.
The software is open source. The site publishes no pricing and lists no paid plans, and it invites visitors to schedule a conversation with the team.