mirror of
https://github.com/openclaw/openclaw.git
synced 2026-07-09 14:54:00 +00:00
333a77fde3
* fix(memory-core): clamp widen-fallback kNN k to sqlite-vec 4096 limit The widen fallback in searchVector re-runs the kNN with k = vectorCount (the full vector table size), unclamped. sqlite-vec hard-caps `k` at 4096, so once a memory index exceeds 4096 chunks any query that triggers the fallback fails with "k value in knn query too large". Clamp the widen re-query to MAX_VECTOR_KNN_K (4096). 4096 oversampled candidates is far more than enough to feed top-N hybrid ranking, so there is no meaningful recall loss. * test(memory-core): cover widen-fallback kNN clamp to sqlite-vec 4096 ceiling Add two regression tests for the searchVector widen-fallback clamp: - asserts a >4096-vector widen re-query caps k at 4096 (out-of-range k would raise sqlite-vec "k out of range" and kill the whole search) - asserts a sub-ceiling widen (30) passes through untouched, proving the clamp is a ceiling and not a fixed value Uses a prepare-mock on the KNN/COUNT statements rather than materializing 4097+ real vectors plus the native extension; the assertion is purely on the k bind handed to the widen re-query. * fix(memory-core): preserve filtered recall beyond KNN cap --------- Co-authored-by: Vincent Koc <vincentkoc@ieee.org>