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2026-06-17T00-27-15Z_weaviate-S1-B-hybrid-r1

weaviateStufe S1 · 5.00 GBhybridStatus: ok

Metriken

Throughput
235.0 QPS
Latenz ⌀
4.23 ms
Latenz p50
3.54 ms
Latenz p95
7.69 ms
Latenz p99
10.15 ms
Recall@1
15.20%
Recall@10
33.41%
Recall@100
39.21%
Precision@10
33.41%
NDCG@10
45.12%

Rohdaten

Konfiguration

Config-Name
weaviate-S1-B-hybrid
DB-Version
Image
Index-Typ
hnsw
Index-Params
{"ef":64,"ef_construction":128,"M":16,"vector_cache_max_objects":1500000,"query_vector_cache_max_objects":1000000}
Dataset
S1 · 1.350.000 Vektoren · dim 1024 · Variante B · 5.00 GB
Queries
2.000 (Concurrency 1)

Lauf

Gestartet
17.06.2026, 02:27:15
Beendet
17.06.2026, 02:28:02
Dauer
7247s
Index-Bauzeit
1262.25s
Index-Größe
9332.2 MB
CPU ⌀ / Peak
0.27 / 0.48 cores
RAM ⌀ / Peak
1755 / 3296 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: 2026-06-17T00:06:48Z
ingest_config: weaviate-S1-B-latency
insert_time_s: 652.53
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_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":3.143,"windowed":true,"p50_ms":5.02,"p95_ms":9.538,"p99_ms":9.94}
mode: measure-only
repeat_group: 2026-06-17T00-27-15Z_weaviate-S1-B-hybrid
repeat_index: 1
repeat_total: 6