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2026-06-18T23-22-18Z_weaviate-S1-tune-hybrid-a90-r3

weaviateStufe S1 · 5.00 GBhybridStatus: ok

Metriken

Throughput
21.0 QPS
Latenz ⌀
47.55 ms
Latenz p50
22.09 ms
Latenz p95
181.08 ms
Latenz p99
363.79 ms
Recall@1
64.70%
Recall@10
79.27%
Recall@100
67.99%
Precision@10
79.27%
NDCG@10
85.47%

Rohdaten

Konfiguration

Config-Name
weaviate-S1-tune-hybrid-a90
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, 01:22:18
Beendet
19.06.2026, 01:24:17
Dauer
7319s
Index-Bauzeit
1392.39s
Index-Größe
8368.9 MB
CPU ⌀ / Peak
1.53 / 1.68 cores
RAM ⌀ / Peak
4063 / 6068 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_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":46.506,"windowed":true,"p50_ms":29.571,"p95_ms":340,"p99_ms":473.333}
mode: measure-only
repeat_group: 2026-06-18T23-17-50Z_weaviate-S1-tune-hybrid-a90
repeat_index: 3
repeat_total: 6