Switched content_vector to 1536-dim (text-embedding-3-small, thepeach production
width) and ran the realistic peach mix (feed-profile reads + signal writes) on the
m11p6 mTLS cluster.
Result: 1536-dim costs ~nothing on throughput vs 128-dim — knee still ~2,976 rps
(128-dim was 2,981). The write bottleneck is quorum-commit on the 2-worker leader
pool, not vector size. The vector READ path (feed-profile retrieve — the
db.retrieve(profile) path thepeach E2/R8 calls) stays p99 3-11ms through 1500 rps,
never the bottleneck. Memory is the only dim-sensitive resource (567-751 MiB/pod
at 20k items, ~12x 128-dim) — capacity-plan RAM, not throughput.
Recommended sustained target: <=1,000 signal-ingest rps (~1,200 full mix) — 40% of
knee, 2.5x headroom, survives single-node failover, write p99 ~45ms within SLA.
Also: fixed the stale "deployed schema is 128" note in tidal-stress (now reflects
the configurable width). Full writeup: docs/ops/benchmark-1536-peach.md.
