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2026-06-14T13-00-04Z_pgvector-M-hybrid-r1

pgvectorStufe M · 20.00 GBhybridStatus: ok

Metriken

Throughput
4.1 QPS
Latenz ⌀
241.14 ms
Latenz p50
165.34 ms
Latenz p95
277.49 ms
Latenz p99
834.83 ms
Recall@1
12.70%
Recall@10
25.34%
Recall@100
28.64%
Precision@10
25.34%
NDCG@10
35.70%

Rohdaten

Konfiguration

Config-Name
pgvector-M-hybrid
DB-Version
Image
Index-Typ
ivfflat
Index-Params
{"lists":4900,"probes":10}
Dataset
M · 5.250.000 Vektoren · dim 1024 · Variante A · 20.00 GB
Queries
2.000 (Concurrency 1)

Lauf

Gestartet
14.06.2026, 15:00:04
Beendet
14.06.2026, 15:08:56
Dauer
7732s
Index-Bauzeit
2381.09s
Index-Größe
41053.9 MB
CPU ⌀ / Peak
0.65 / 2.00 cores
RAM ⌀ / Peak
19180 / 19271 MB
Disk read (Paging)
65229 MB
Disk write
656 MB
Pod-RAM-Limit
20 GiB
Warmup-Queries
1.000
K8s
v1.31.4+k3s1
Nodes
4

Notizen

measured: in-cluster
decoupled: true
ingested_at: 2026-06-14T12:52:14Z
ingest_config: pgvector-M-pressure-20gb
insert_time_s: 2196.77
n_vectors_actual: 5250000
has_metadata: true
mem_limit_gb: 20
pre_run_reset: skipped (decoupled, warmup-discard)
n_queries_executed: 1000
n_warmup: 1000
gt_file: ground_truth_hybrid_alpha_50_ids.npy
mode: measure-only
repeat_group: 2026-06-14T13-00-04Z_pgvector-M-hybrid
repeat_index: 1
repeat_total: 3