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2026-06-19T02-38-08Z_weaviate-S-tune-hybrid-a90-r6

weaviateStufe S · 10.00 GBhybridStatus: ok

Metriken

Throughput
10.7 QPS
Latenz ⌀
93.08 ms
Latenz p50
40.01 ms
Latenz p95
348.65 ms
Latenz p99
744.05 ms
Recall@1
57.10%
Recall@10
78.60%
Recall@100
67.74%
Precision@10
78.60%
NDCG@10
84.71%

Rohdaten

Konfiguration

Config-Name
weaviate-S-tune-hybrid-a90
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, 04:38:08
Beendet
19.06.2026, 04:41:39
Dauer
7411s
Index-Bauzeit
3134.73s
Index-Größe
16076.7 MB
CPU ⌀ / Peak
1.40 / 1.57 cores
RAM ⌀ / Peak
5687 / 6733 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_90_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":91.685,"windowed":true,"p50_ms":43.027,"p95_ms":457.202,"p99_ms":791.667}
mode: measure-only
repeat_group: 2026-06-19T02-18-53Z_weaviate-S-tune-hybrid-a90
repeat_index: 6
repeat_total: 6