* fix: reject mismatched dense dims in recommend average
Stop silently truncating oversized negative examples during
average_vector merge. Validate dense dimensions within each example
group and between positive/negative averages before zip-merge.
Fixes#10369
* Simplify: keep only the merge-time dimension check
The zip truncation in merge_positive_and_negative_avg is the only place
an oversized negative can silently pass the downstream dimension check;
within-group mismatches already grow the average to the max length and
fail the segment-entry check.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* style(query): make recommendation conversion explicit
* test: assert recommendation dimension errors
Issue: #10369
Make the regression test verify the exact WrongVectorDimension payload for mismatched recommendation vectors.
---------
Co-authored-by: qdrant-cloud-bot <111755117+qdrant-cloud-bot@users.noreply.github.com>
Co-authored-by: generall <andrey@vasnetsov.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
