Entity graph
Browse a pre-loaded systems graph — nodes, edges, and OWL-classified entities. Inspect attributes, follow links, and visualize topology in 3D.
Live preview
Explore a hosted instance of VectorOWL pre-loaded with demo scenarios. Query entities, trace dependencies, run hybrid reasoning, and inspect anchor constraints — all from your browser.
The hosted demo is coming soon. Run it locally with Docker in one command.
What you'll see
Browse a pre-loaded systems graph — nodes, edges, and OWL-classified entities. Inspect attributes, follow links, and visualize topology in 3D.
Run SPARQL-like queries over the ontology. Trace subclass relationships, check satisfiability, and see how formal axioms constrain the model.
Search by meaning, not keyword. Vector embeddings rank similar designs, requirements, and telemetry by semantic proximity.
Evaluate hard constraints that override probabilistic suggestions. See pass/fail results with severity levels and audit trails.
The fastest way to try VectorOWL is with Docker. Clone the repo and start the container — it builds the UI and Rust backend automatically.
git clone https://github.com/radsilent/VectorOWL.git
cd VectorOWL
docker-compose up --build -d
# Open http://localhost:8080
VectorOWL mixes symbolic OWL constraints with embedding similarity. This slider does not call a server — it only illustrates how a tunable weight α biases the response toward symbolic versus vector pathways.
Click to check API reachability.