Quickstart
Run the engine locally with docker compose and submit your first check in two minutes.
Try it in two minutes
First start migrates the schema and indexes the bundled sample corpus (~1,000 Wikipedia articles — takes a couple of minutes). Then:
- http://localhost:8000 — demo page. Paste a paragraph from a well-known Wikipedia article (say, the lead of Albert Einstein) and run a check: you get a similarity score, highlighted passages, and the matched articles.
- http://localhost:8000/docs — interactive OpenAPI docs for the
/v1API.
The demo page is deliberately bare — the API is the product here. Build your
own UI on POST /v1/checks → GET /v1/checks/{id}/report.
API in 30 seconds
The full surface (uploads, SSE progress, corpus management) is covered in the
API reference and served live at /docs on your
instance.
A note on authentication
The API ships with no authentication — it is a single-tenant backend service. Run it on a trusted network or put your own auth in front. See the security model before deploying anywhere reachable.
Next steps
- Self-hosting guide — compose and bare installs, operations, scaling.
- Bring your own corpus — the engine only matches against what you index.
- Configuration — every environment variable, annotated.