Summary
Current clustering integration tests validate database effects, but much of the clustering behavior is still mocked or driven by synthetic vectors.
Evidence
- patches , , and representative selection in core integration cases.
- and related tests seed deterministic random vectors rather than fixtures designed to stress near-duplicate and semantic-cluster boundaries.
Why this matters
The current tests provide limited assurance that the full clustering pipeline behaves correctly with realistic embedding distributions.
Suggested direction
- Add integration fixtures that represent clear L1 and L2 clustering boundaries
- Reduce mocking in at least one end-to-end clustering path
- Keep runtime manageable by using a small but behaviorally meaningful dataset
Summary
Current clustering integration tests validate database effects, but much of the clustering behavior is still mocked or driven by synthetic vectors.
Evidence
Why this matters
The current tests provide limited assurance that the full clustering pipeline behaves correctly with realistic embedding distributions.
Suggested direction