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Cohere-50M — 2026-07-13

r8i.2xlarge · peak recall 0.9958 @ 42 QPS

QPS at recall

RecallMeerkatpgvector HNSW (halfvec)Δ vs best competitor
0.90634227+179%
0.9533226+1163%
0.9979— (max r=0.985)—

Latency at recall

Meerkatpgvector HNSW (halfvec)Δ vs best competitor
@ recall 0.90
p501.54 ms4.28 ms-64%
p951.92 ms6.78 ms-72%
p992.16 ms8.65 ms-75%
@ recall 0.95
p502.94 ms33.39 ms-91%
p953.68 ms72.41 ms-95%
p994.27 ms93.90 ms-95%
@ recall 0.99
p5012.44 ms——
p9515.45 ms——
p9918.59 ms——

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-n240000-cctrue-fs16-soar-cfs-eps035 · pgvector HNSW (halfvec) @0.90: hnsw-m24-halfvec · Meerkat @0.95: mkt-n240000-cctrue-fs16-soar-cfs-eps035 · pgvector HNSW (halfvec) @0.95: hnsw-m24-halfvec · Meerkat @0.99: mkt-n240000-cctrue-fs16-soar-cfs-eps035

Build comparison

Meerkatpgvector HNSW (halfvec)Δ vs best competitor
Build time2954 s13866 s-79%
Index size13.6 GB95.3 GB-86%

Build stats are for the configuration backing each column's best operating point: Meerkat = mkt-n240000-cctrue-fs16-soar-cfs-eps035, 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 typer8i.2xlarge
Hostnameip-172-31-66-83
CPUIntel(R) Xeon(R) 6975P-C (8 vCPU)
Memory62 GB
OSUbuntu 26.04 LTS
Kernel7.0.0-1008-aws

Versions

rekall0.1.0 (8b64f86 / main)
PostgreSQLPostgreSQL 18.4 (Ubuntu 18.4-1.pgdg26.04+1) on x86_64-pc-linux-gnu, compiled by gcc (Ubuntu 15.2.0-16ubuntu1) 15.2.0, 64-bit
meerkat0.1.0 (71e3cff)
pg_prewarm1.2
vector0.8.5

Search

k10
runs3
warmup500
num_queries10000
S3 archives3://rekall-bench/runs/cohere-50m/2026-07-13/r8i.2xlarge-113038/

Index builds

IndexTypeBuild timeSizeWorkers
hnsw-m24-halfvecpgvector-hnsw13865.9s95.3 GB24
mkt-n240000-ccfalse-fs16-soar-eps015meerkat5655.3s13.9 GB24
mkt-n240000-cctrue-fs16-soar-cfs-eps015meerkat3422.0s12.9 GB24
mkt-n240000-cctrue-fs16-soar-cfs-eps025meerkat3134.8s13.4 GB24
mkt-n240000-cctrue-fs16-soar-cfs-eps035meerkat2954.2s13.6 GB24
Index parameters
hnsw-m24-halfvec: {"ef_construction":200,"encoding":"halfvec","m":24}
mkt-n240000-ccfalse-fs16-soar-eps015: {"boundary_epsilon":0.15,"centroid_compression":false,"centroid_fastscan":null,"fan_out":null,"fastscan":true,"fastscan_bits":null,"nlist":240000,"rerank_vectors":null,"soar_lambda":1.0}
mkt-n240000-cctrue-fs16-soar-cfs-eps015: {"boundary_epsilon":0.15,"centroid_compression":true,"centroid_fastscan":true,"fan_out":null,"fastscan":true,"fastscan_bits":null,"nlist":240000,"rerank_vectors":null,"soar_lambda":1.0}
mkt-n240000-cctrue-fs16-soar-cfs-eps025: {"boundary_epsilon":0.25,"centroid_compression":true,"centroid_fastscan":true,"fan_out":null,"fastscan":true,"fastscan_bits":null,"nlist":240000,"rerank_vectors":null,"soar_lambda":1.0}
mkt-n240000-cctrue-fs16-soar-cfs-eps035: {"boundary_epsilon":0.35,"centroid_compression":true,"centroid_fastscan":true,"fan_out":null,"fastscan":true,"fastscan_bits":null,"nlist":240000,"rerank_vectors":null,"soar_lambda":1.0}
PostgreSQL settings
effective_cache_size = 48 GB
effective_io_concurrency = 256
huge_pages = try
maintenance_work_mem = 25 GB
max_connections = 100
max_parallel_maintenance_workers = 4
max_parallel_workers = 8
random_page_cost = 1.1
shared_buffers = 16 GB
wal_level = replica
work_mem = 512 MB