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2026-06-18T23-15-41Z_weaviate-S1-tune-hybrid-a70-r6

weaviateStufe S1 · 5.00 GBhybridStatus: ok

Metriken

Throughput
20.5 QPS
Latenz ⌀
48.78 ms
Latenz p50
23.25 ms
Latenz p95
181.13 ms
Latenz p99
360.90 ms
Recall@1
40.50%
Recall@10
70.91%
Recall@100
64.94%
Precision@10
70.91%
NDCG@10
75.71%

Rohdaten

Konfiguration

Config-Name
weaviate-S1-tune-hybrid-a70
DB-Version
Image
Index-Typ
hnsw
Index-Params
{"ef":64,"ef_construction":128,"M":16}
Dataset
S1 · 1.350.000 Vektoren · dim 1024 · Variante A · 5.00 GB
Queries
1.000 (Concurrency 1)

Lauf

Gestartet
19.06.2026, 01:15:41
Beendet
19.06.2026, 01:17:41
Dauer
7320s
Index-Bauzeit
1392.39s
Index-Größe
8368.9 MB
CPU ⌀ / Peak
1.45 / 1.68 cores
RAM ⌀ / Peak
3895 / 6667 MB
Disk read (Paging)
0 MB
Disk write
0 MB
Pod-RAM-Limit
8 GiB
Warmup-Queries
1.000
K8s
v1.31.4+k3s1
Nodes
4

Notizen

measured: in-cluster
decoupled: true
ingested_at: 2026-06-18T22:24:13Z
ingest_config: weaviate-S1-latency
insert_time_s: 592.76
n_vectors_actual: 1350000
has_metadata: true
mem_limit_gb: 8
pre_run_reset: rollout-restart
timeout_s: 180
gomemlimit_mib: 7000
query_mem_gb: 8
n_queries_executed: 1000
n_warmup: 1000
gt_file: ground_truth_hybrid_alpha_70_ids.npy
server_latency_ms: {"source":"weaviate_prometheus","metric":"queries_durations_ms","class_name":"Bench","query_type":"get_graphql","count":1000,"count_all_types":1000,"mean_ms":47.68,"windowed":true,"p50_ms":30.26,"p95_ms":345.902,"p99_ms":477.049}
mode: measure-only
repeat_group: 2026-06-18T23-04-39Z_weaviate-S1-tune-hybrid-a70
repeat_index: 6
repeat_total: 6