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Benchmarks

The tables below are the latest recorded snapshot of the default system (no experiment matrices). They were produced with an xplan harness that is now kept as optional, gitignored local tooling. Per-run detail: build/benchmarks/<plan>/<timestamp>-<config-hash>/ (run_manifest.json, REPORT.md, ablation.md, metrics.csv). Tracked API/core/search/tree-diff benchmarks use the same default build/benchmarks/<suite>/<timestamp>-<config-hash>/ layout and record effective CLI values, field-level sources, and execution provenance in run_manifest.json; --out-dir remains exact.

Local harness tests/benchmarks/xplan/ (optional; not distributed)
Artifacts build/benchmarks/<plan>/<timestamp>-<config-hash>/ (gitignored)
Micro baselines (code) tests/benchmarks/baseline/*.json
Full Simeon ingestion oracle ingestion_oracle.md

Corpora: quality plans use BEIR scifact (dataset=scifact, 2000 docs × 50 queries) by default. Cache: ~/.cache/yams/benchmarks/<name> (auto-download). dataset=synthetic is only for ingest/load/ops throughput — not ranking.

Topology construction defaults (when topology rebuild runs): min_edge_score=0.25, max_component_docs=64, engine connected.


Latest snapshot

Stamp: kpi-20260709T031007Z (search quality) · kpi-20260709T003228Z (ingest / load / repair / ops)\ Host: local macOS Builds: build/release (ingest, repair, quality); build/prepush-macos (load, ops — Catch2)

Ingest — ingest_pipeline (80 docs × 1 KB, synthetic throughput)

This historical snapshot predates the full Simeon identity, persistence, and lifecycle contract in ingestion_oracle.md; do not use it as the comprehensive optimization baseline.

Arm docs/s wall_ms complete
baseline 96.6 828 yes
no_kg 95.6 837 yes
no_vectors 87.0 920 yes
no_vectors_no_kg 97.2 823 yes
no_gliner 97.8 818 yes
minimal 111.0 721 yes

Artifacts: build/benchmarks/ingest_pipeline/kpi-20260709T003228Z-ingest/

Retrieval load — retrieval_load

Arm p50_ms p95_ms QPS searches
baseline_hybrid 28.0 41.3 123 189
keyword_only 1.20 5.45 362 189

Artifacts: build/benchmarks/retrieval_load/kpi-20260709T003228Z-load/

Search quality — BEIR scifact (default hybrid)

2000 docs · 50 queries · topk=10 · topology routing off (historical control; the current product default is hybrid_assist + shadow)

Metric Value
MRR 0.613
nDCG 0.634
MAP 0.608
recall@10 0.713
precision@10 0.076

Artifacts: build/benchmarks/topology_optimize_v2/kpi-20260709T031007Z-topo-optv2b/ (topo_off arm)

Repair — repair_ability (20 faults)

Arm injected repaired status
fts5 20 20 ok
graph 20 225* ok
embed 20 0 fail (timeout ~120s)
embed_all_ops 20 0 fail (timeout ~120s)

* graph arm counts operations, not 1:1 documents.

Artifacts: build/benchmarks/repair_ability/kpi-20260709T003228Z-repair/

Ops / idle — ops_timeline

Arm ingest docs/s idle_fraction
baseline_no_vectors 212 1.0
with_vectors 212 1.0

Artifacts: build/benchmarks/ops_timeline/kpi-20260709T003228Z-ops/


Refresh

  1. Prepare the relevant corpus.
  2. Run equivalent benchmark workloads under a common stamp.
  3. Replace tables above from each summary.md / REPORT.md (default arms only).
  4. Update the stamp line.