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2026-06-16T18-24-42Z_weaviate-S-B-hybrid-r6

weaviateStufe S · 10.00 GBhybridStatus: ok

Metriken

Throughput
210.7 QPS
Latenz ⌀
4.71 ms
Latenz p50
2.97 ms
Latenz p95
12.86 ms
Latenz p99
17.72 ms
Recall@1
16.10%
Recall@10
33.95%
Recall@100
38.70%
Precision@10
33.95%
NDCG@10
45.72%

Rohdaten

Konfiguration

Config-Name
weaviate-S-B-hybrid
DB-Version
Image
Index-Typ
hnsw
Index-Params
{"ef":64,"ef_construction":128,"M":16,"vector_cache_max_objects":3000000,"query_vector_cache_max_objects":1000000}
Dataset
S · 2.650.000 Vektoren · dim 1024 · Variante B · 10.00 GB
Queries
2.000 (Concurrency 1)

Lauf

Gestartet
16.06.2026, 20:24:42
Beendet
16.06.2026, 20:25:22
Dauer
7240s
Index-Bauzeit
2959.66s
Index-Größe
18145.1 MB
CPU ⌀ / Peak
0.70 / 1.04 cores
RAM ⌀ / Peak
3475 / 4880 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: 2026-06-16T17:42:37Z
ingest_config: weaviate-S-B-latency
insert_time_s: 1346.83
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_50_ids.npy
server_latency_ms: {"source":"weaviate_prometheus","metric":"queries_durations_ms","class_name":"BenchVecs","query_type":"get_graphql","count":1000,"count_all_types":1000,"mean_ms":3.667,"windowed":true,"p50_ms":5.388,"p95_ms":22.222,"p99_ms":44.444}
mode: measure-only
repeat_group: 2026-06-16T18-20-13Z_weaviate-S-B-hybrid
repeat_index: 6
repeat_total: 6