semantica

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KaifAhmad1 721a2f0e9c Fix candidate-embeddings loop dropping matches when pool exhausted

_get_candidate_embeddings()'s expand-and-retry loop widens the search
pool (up to limit*10) when post-filtering leaves too few candidates.
If the backend keeps returning a full page and filtered matches never
reach `limit`, the loop exited via the while condition instead of the
break branch, so the pre-loop empty embeddings/metadata/scores lists
were returned instead of the matches actually found in the final
iteration. This silently returned [] for filtered queries against
large persistent-backend stores even when matches existed - exactly
the scenario this PR adds support for.

Falls back to the last collected batch instead of discarding it.
Also documents this PR and #839 in the changelog.

2026-08-07 15:53:55 +05:30

test_backward_compatibility.py

[FEATURE] Enhanced Vector Store for Decision Tracking #293

2026-02-11 19:02:33 +05:30

test_decision_embedding_pipeline.py

Fix candidate-embeddings loop dropping matches when pool exhausted

2026-08-07 15:53:55 +05:30

test_end_to_end_decision_tracking.py

fix: resolve all failing tests for 0.3.0-alpha and Unreleased features

2026-03-06 02:54:09 +05:30

test_hybrid_similarity.py

[FEATURE] Enhanced Vector Store for Decision Tracking #293