{
  "environment": {
    "python": "3.13.5 (main, Jul 15 2026, 20:25:40) [GCC 14.2.0]",
    "platform": "Linux-6.18.57-x86_64-with-glibc2.41",
    "cpu_count": 5,
    "native": true,
    "max_rss_kib_linux": 105088
  },
  "rows": [
    {
      "entries": 1000,
      "ingest_seconds": 1.0054397979999976,
      "queries": 100,
      "correct": 100,
      "query_family": "unique identifier; favorable lexical selectivity",
      "candidate_min": 1,
      "candidate_max": 1,
      "median_ms": 1.3571909999999998,
      "p95_ms": 2.793225,
      "generic_query_status": "retrieved",
      "database_bytes": 1495040,
      "accounted_payload_bytes": 646900
    },
    {
      "entries": 10000,
      "ingest_seconds": 12.077897626000095,
      "queries": 100,
      "correct": 100,
      "query_family": "unique identifier; favorable lexical selectivity",
      "candidate_min": 1,
      "candidate_max": 1,
      "median_ms": 14.2756695,
      "p95_ms": 18.55125,
      "generic_query_status": "budget_exceeded",
      "database_bytes": 14381056,
      "accounted_payload_bytes": 6478900
    }
  ],
  "note": "Unreserved shared CPU, one process, 100 queries per size. No model-generation cost. Does not establish arbitrary-query latency or million-row scalability."
}