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Cohere-100M — 2026-07-11
r8i.4xlarge · peak recall 0.9934 @ 36 QPS
“100M resized from 24xlarge to 4xlarge”
QPS at recall
| Recall | Meerkat | pgvector HNSW (halfvec) | Δ vs best competitor |
|---|
| 0.90 | 453 | 3 | +16885% |
| 0.95 | 218 | 1 | +24714% |
| 0.99 | 49 | — (max r=0.976) | — |
Latency at recall
| Meerkat | pgvector HNSW (halfvec) | Δ vs best competitor |
|---|
| @ recall 0.90 | | | |
| p50 | 2.16 ms | 380.69 ms | -99% |
| p95 | 2.76 ms | 593.78 ms | -100% |
| p99 | 3.09 ms | 781.01 ms | -100% |
| @ recall 0.95 | | | |
| p50 | 4.49 ms | 1213.02 ms | -100% |
| p95 | 5.77 ms | 1550.32 ms | -100% |
| p99 | 6.44 ms | 1807.09 ms | -100% |
| @ recall 0.99 | | | |
| p50 | 19.83 ms | — | — |
| p95 | 25.37 ms | — | — |
| p99 | 27.89 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-n400000-cctrue-fs16-soar-cfs-eps015 · pgvector HNSW (halfvec) @0.90: hnsw-m24-halfvec · Meerkat @0.95: mkt-n400000-cctrue-fs16-soar-cfs-eps015 · pgvector HNSW (halfvec) @0.95: hnsw-m24-halfvec · Meerkat @0.99: mkt-n400000-cctrue-fs16-soar-cfs-eps015
Build comparison
| Meerkat | pgvector HNSW (halfvec) | Δ vs best competitor |
|---|
| Build time | 11575 s | 21987 s | -47% |
| Index size | 20.2 GB | 179.2 GB | -89% |
Build stats are for the configuration backing each column's best operating point: Meerkat = mkt-n400000-cctrue-fs16-soar-cfs, prewarmed · pgvector HNSW (halfvec) = hnsw-m24-halfvec, prewarmed.
Plots
Pareto svg ·
Distance-recall svg ·
Per-config svg ·
Build times svg ·
Index sizes svgHost
| Instance type | r8i.4xlarge |
| Hostname | ip-172-31-67-47 |
| CPU | Intel(R) Xeon(R) 6975P-C (16 vCPU) |
| Memory | 124 GB |
| OS | Ubuntu 26.04 LTS |
| Kernel | 7.0.0-1008-aws |
Versions
| rekall | 0.1.0 (da39aba / main) |
| PostgreSQL | PostgreSQL 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 |
| meerkat | 0.1.0 (ca8d3c9) |
| pg_prewarm | 1.2 |
| vector | 0.8.4 |
Search
Index builds
| Index | Type | Build time | Size | Workers |
|---|
| hnsw-m24-halfvec | pgvector-hnsw | 21987.2s | 179.2 GB | 32 |
| mkt-n400000-cctrue-fs16-soar-cfs | meerkat | 11575.5s | 20.2 GB | 32 |
| mkt-n400000-cctrue-fs16-soar-cfs-eps015 | meerkat | 3438.8s | 23.8 GB | 32 |
Index parameters
hnsw-m24-halfvec: {"ef_construction":200,"encoding":"halfvec","m":24}
mkt-n400000-cctrue-fs16-soar-cfs: {"boundary_epsilon":0.05,"centroid_compression":true,"centroid_fastscan":true,"fan_out":null,"fastscan":true,"fastscan_bits":null,"nlist":400000,"rerank_vectors":null,"soar_lambda":1.0}
mkt-n400000-cctrue-fs16-soar-cfs-eps015: {"boundary_epsilon":0.15,"centroid_compression":true,"centroid_fastscan":true,"fan_out":null,"fastscan":true,"fastscan_bits":null,"nlist":400000,"rerank_vectors":null,"soar_lambda":1.0}
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 = 8
max_parallel_workers = 16
random_page_cost = 1.1
shared_buffers = 32 GB
wal_level = replica
work_mem = 1 GB
