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Cohere-10M — 2026-07-16

r8g.4xlarge · peak recall 0.9996 @ 29 QPS
“10m Cohere on Graviton 4xlarge”

QPS at recall

RecallMeerkatpgvector HNSW (halfvec)Δ vs best competitor
0.90959582+65%
0.95577332+74%
0.9916359+175%

Latency at recall

Meerkatpgvector HNSW (halfvec)Δ vs best competitor
@ recall 0.90
p501.02 ms1.70 ms-40%
p951.26 ms2.45 ms-48%
p991.34 ms2.93 ms-54%
@ recall 0.95
p501.72 ms3.04 ms-43%
p952.06 ms4.06 ms-49%
p992.18 ms4.63 ms-53%
@ recall 0.99
p506.12 ms17.04 ms-64%
p957.11 ms21.99 ms-68%
p997.40 ms23.75 ms-69%

All values are taken at exactly the stated recall: each configuration's own sweep is log-interpolated between its two surrounding measured points (measured values are used verbatim on an exact hit) and the best configuration at that recall is shown — values are never interpolated across different configurations. “—” means no single sweep spans that recall; nothing is extrapolated. Recall is distance-based (ann-benchmarks, tie-aware). Insert/update/delete workloads are not measured.

Interpolated on config — Meerkat @0.90: mkt-defaults · pgvector HNSW (halfvec) @0.90: hnsw-m24-halfvec · Meerkat @0.95: mkt-defaults · pgvector HNSW (halfvec) @0.95: hnsw-m24-halfvec · Meerkat @0.99: mkt-defaults · pgvector HNSW (halfvec) @0.99: hnsw-m24-halfvec

Build comparison

Meerkatpgvector HNSW (halfvec)Δ vs best competitor
Build time796 s2427 s-67%
Index size2.6 GB19.1 GB-86%

Build stats are for the configuration backing each column's best operating point: Meerkat = mkt-defaults, prewarmed · pgvector HNSW (halfvec) = hnsw-m24-halfvec, prewarmed.

Plots

Pareto svg  ·  Distance-recall svg  ·  Per-config svg  ·  Build times svg  ·  Index sizes svg
paretodistance-recallbuild-timesbuild-sizes

Host

Instance typer8g.4xlarge
Hostnameip-172-31-10-233
CPUunknown (16 vCPU)
Memory124 GB
OSUbuntu 26.04 LTS
Kernel7.0.0-1008-aws

Versions

rekall0.1.0 (764db1b / main)
PostgreSQLPostgreSQL 18.4 (Ubuntu 18.4-1.pgdg26.04+1) on aarch64-unknown-linux-gnu, compiled by gcc (Ubuntu 15.2.0-16ubuntu1) 15.2.0, 64-bit
meerkat0.1.0 (b50abf1)
pg_prewarm1.2
vector0.8.5

Search

k10
runs3
warmup500
num_queries10000
S3 archives3://rekall-bench/runs/cohere-10m/2026-07-16/r8g.4xlarge-092153/

Index builds

IndexTypeBuild timeSizeWorkers
hnsw-m24-halfvecpgvector-hnsw2427.1s19.1 GB15
mkt-defaultsmeerkat795.7s2.6 GB15
Index parameters
hnsw-m24-halfvec: {"ef_construction":200,"encoding":"halfvec","m":24}
mkt-defaults: {"boundary_epsilon":null,"centroid_compression":null,"centroid_fastscan":null,"fan_out":null,"fastscan":null,"fastscan_bits":null,"nlist":null,"rerank_vectors":null,"soar_lambda":null}
PostgreSQL settings
effective_cache_size = 96 GB
effective_io_concurrency = 256
huge_pages = try
maintenance_work_mem = 51 GB
max_connections = 100
max_parallel_maintenance_workers = 15
max_parallel_workers = 16
random_page_cost = 1.1
shared_buffers = 32 GB
wal_level = replica
work_mem = 1 GB