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2026-06-16T16-08-46Z_weaviate-S0-B-hybrid-r5

weaviateStufe S0 · 2.00 GBhybridStatus: ok

Metriken

Throughput
401.1 QPS
Latenz ⌀
2.46 ms
Latenz p50
2.47 ms
Latenz p95
2.85 ms
Latenz p99
3.11 ms
Recall@1
13.00%
Recall@10
34.00%
Recall@100
40.37%
Precision@10
34.00%
NDCG@10
45.35%

Rohdaten

Konfiguration

Config-Name
weaviate-S0-B-hybrid
DB-Version
Image
Index-Typ
hnsw
Index-Params
{"ef":64,"ef_construction":128,"M":16,"vector_cache_max_objects":600000,"query_vector_cache_max_objects":600000}
Dataset
S0 · 550.000 Vektoren · dim 1024 · Variante B · 2.00 GB
Queries
2.000 (Concurrency 1)

Lauf

Gestartet
16.06.2026, 18:08:46
Beendet
16.06.2026, 18:09:22
Dauer
7236s
Index-Bauzeit
391.5s
Index-Größe
3870.6 MB
CPU ⌀ / Peak
0.06 / 0.06 cores
RAM ⌀ / Peak
322 / 322 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: 2026-06-16T15:52:14Z
ingest_config: weaviate-S0-B-latency
insert_time_s: 254.7
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_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":1.404,"windowed":true,"p50_ms":5,"p95_ms":9.5,"p99_ms":9.9}
mode: measure-only
repeat_group: 2026-06-16T16-06-34Z_weaviate-S0-B-hybrid
repeat_index: 5
repeat_total: 6