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2026-06-16T15-02-42Z_weaviate-S0-tune-hybrid-a70-r4

weaviateStufe S0 · 2.00 GBhybridStatus: ok

Metriken

Throughput
40.7 QPS
Latenz ⌀
24.53 ms
Latenz p50
13.72 ms
Latenz p95
82.36 ms
Latenz p99
159.75 ms
Recall@1
40.80%
Recall@10
72.77%
Recall@100
66.94%
Precision@10
72.77%
NDCG@10
77.35%

Rohdaten

Konfiguration

Config-Name
weaviate-S0-tune-hybrid-a70
DB-Version
Image
Index-Typ
hnsw
Index-Params
{"M":16,"ef_construction":128,"ef":64}
Dataset
S0 · 550.000 Vektoren · dim 1024 · Variante A · 2.00 GB
Queries
1.000 (Concurrency 1)

Lauf

Gestartet
16.06.2026, 17:02:42
Beendet
16.06.2026, 17:04:00
Dauer
7278s
Index-Bauzeit
426.47s
Index-Größe
3449.5 MB
CPU ⌀ / Peak
0.92 / 1.50 cores
RAM ⌀ / Peak
4167 / 4768 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: 2026-06-16T14:12:58Z
ingest_config: weaviate-S0-tune-efsweep-ef064
insert_time_s: 198.18
n_vectors_actual: 550000
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":23.336,"windowed":true,"p50_ms":16.695,"p95_ms":87.805,"p99_ms":366.667}
mode: measure-only
repeat_group: 2026-06-16T14-58-29Z_weaviate-S0-tune-hybrid-a70
repeat_index: 4
repeat_total: 6