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2026-06-19T02-03-46Z_weaviate-S-tune-hybrid-a70-r3

weaviateStufe S · 10.00 GBhybridStatus: ok

Metriken

Throughput
10.8 QPS
Latenz ⌀
92.91 ms
Latenz p50
39.97 ms
Latenz p95
359.68 ms
Latenz p99
682.75 ms
Recall@1
39.50%
Recall@10
69.47%
Recall@100
64.73%
Precision@10
69.47%
NDCG@10
75.01%

Rohdaten

Konfiguration

Config-Name
weaviate-S-tune-hybrid-a70
DB-Version
Image
Index-Typ
hnsw
Index-Params
{"ef":64,"ef_construction":128,"M":16}
Dataset
S · 2.650.000 Vektoren · dim 1024 · Variante A · 10.00 GB
Queries
1.000 (Concurrency 1)

Lauf

Gestartet
19.06.2026, 04:03:46
Beendet
19.06.2026, 04:07:17
Dauer
7411s
Index-Bauzeit
3134.73s
Index-Größe
16076.7 MB
CPU ⌀ / Peak
1.47 / 1.53 cores
RAM ⌀ / Peak
5836 / 6775 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: 2026-06-19T00:41:51Z
ingest_config: weaviate-S-latency
insert_time_s: 1100.24
n_vectors_actual: 2650000
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":91.792,"windowed":true,"p50_ms":42.857,"p95_ms":460.851,"p99_ms":814.815}
mode: measure-only
repeat_group: 2026-06-19T01-56-01Z_weaviate-S-tune-hybrid-a70
repeat_index: 3
repeat_total: 6