MemoryStore.Search is on the per-turn recall path and had no benchmark, so
any claim about its cost was an argument rather than a measurement.
Seeds a store with rows the shape recall actually stores — 384-wide
vectors, the resident embedder's width, and a meta blob carrying the note
text — at 1000 and 10000 rows. 10000 is the ceiling the type doc claims a
full scan is fine at.
Measured as it stands: 5.3ms and 24k allocs at 1000 rows, 70.6ms and 240k
allocs at 10000.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01YMNNEkYx1mZFtHNrFk7uqb
