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Graph context layer that builds ontology-based knowledge graphs
Updated
Lettria is a graph context layer for enterprise AI that turns complex knowledge into ontology-powered knowledge graphs. AI systems can then reason over connected data with traceability.
Lettria generates an ontology and knowledge graph from domain documents, with business experts involved in refining it. Retrieval then follows graph relationships with multi-hop reasoning and provenance back to the source. Perseus exposes this to developers building graph agents.
Lettria targets finance, healthcare, legal and engineering teams. The vendor claims GraphRAG is 30 percent or more accurate than vector-based approaches.
Lettria mentions a pricing page but does not show prices on the page reviewed. Contact the vendor for plans.
Alternatives include Neo4j, which is a graph database with GraphRAG tooling, Stardog, which offers enterprise knowledge graphs, and Diffbot, which builds a web-scale knowledge graph.
Pricing Model
QUOTE BASED
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
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Open-source Python NLP library built for production
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