Your self-hosted knowledge engineering workbench for semantically rich data. Transform your data into knowledge graphs on your own infrastructure - bring your own LLM provider or run fully air-gapped with local AI.
Built on Basic Formal Ontology 2020 with Common Core Ontologies. Register your own top-level ontologies for custom alignment - your data inherits a rigorous framework with definitions for people, organizations, events, and more.
Start with proven ontology patterns for agents, artifacts, events, geospatial data, information entities, qualities, and units of measure. No need to reinvent the wheel - CCO provides battle-tested definitions for real-world concepts.
Ask questions in plain English and get SPARQL queries generated automatically. Context-aware query generation uses your ontology structure to produce accurate results.
Explore your data with interactive graph networks and geospatial maps. Automatic detection of coordinates and WKT geometries displays your data on Leaflet maps alongside graph views.
Ask complex questions of your data using a powerful query language. Get help with auto-completion and syntax highlighting.
Generate semantic ontologies with GPU-accelerated embeddings (CUDA/Metal). Mid-level concept induction clusters related classes to create reusable abstract domain concepts with BFO-2020 and CCO alignment.
Full control over your data and AI infrastructure
Runs entirely on your infrastructure. Deploy on-premises, in your private cloud, or in air-gapped environments. Single binary with no external dependencies - just SQLite and your data.
Use Ollama for fully local AI with no external API calls - perfect for air-gapped deployments. Or connect to OpenRouter or OpenAI. Switch providers at runtime without server restarts.
Your data never leaves your servers. API credentials encrypted at rest. Configurable map tile servers for fully internal deployments - no calls to external services required.
Interactive graph visualization with node typing, SPARQL querying, and schema exploration
Click nodes to explore entity types, properties, and relationships with detailed metadata panels
View SPARQL results as interactive graphs, plot geospatial data on maps, or view and export raw data
Explore graph data with AI-powered natural language queries
Generate formal ontologies from data using hybrid AI with rule-based extraction and LLM semantic alignment
Connect and analyze relationships across complex datasets with powerful SPARQL querying
BFO-2020 upper ontology + CCO mid-level ontologies + your domain ontologies = immediate semantic interoperability
Import from CSV, JSON, RDF, SQL databases, and other common data science formats
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