sourcery is a local scholarly answer system with citations, confidence scoring, and offline-first operation.
- Answers questions using retrieved evidence
- Refuses to answer when evidence is weak
- Tracks calibrated confidence
- Combines dense and sparse retrieval
- Runs locally with optional external APIs
- Includes benchmarks, evaluation, and Helm deployment support
make quick-start- Cite-or-abstain behavior
- Calibrated confidence score
- Hybrid retrieval
- Offline support
- Prometheus and Grafana observability
- The project is tuned for local use first.
- External services improve results when available, but they are optional.
- The repository includes evaluation and deployment material for reviewers.
- Architecture and evaluation: docs/PORTFOLIO_PROOF.md
- Verified metrics: evaluation/data/calibration/cv_metrics.json and evaluation/data/retrieval_eval_120.json
- Demo and local mode: use
make quick-start - Test commands: backend pytest, frontend
npm run build