Benchmarks on 128GB RAM server: - 100K candidate filter (skills+city+status): 257ms - 1M timesheet aggregation (revenue by client): 942ms - 800K call log cross-reference (cold leads): 642ms - Triple JOIN recruiter performance: 487ms - 500K email open rate aggregation: 259ms - COUNT all 2.47M rows: 84ms - 10K vector search (cosine similarity): ~450ms - Embedding throughput: 49 chunks/sec via Ollama - RAG correctly refuses to hallucinate when no match exists Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
15 lines
389 B
JSON
15 lines
389 B
JSON
{
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"id": "c8c9d519-b8b5-4d04-ba2b-5acf53c41bc2",
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"name": "timesheets",
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"schema_fingerprint": "auto",
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"objects": [
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{
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"bucket": "data",
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"key": "datasets/timesheets.parquet",
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"size_bytes": 17539932,
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"created_at": "2026-03-27T13:15:23.111118100Z"
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}
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],
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"created_at": "2026-03-27T13:15:23.111124272Z",
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"updated_at": "2026-03-27T13:15:23.111124272Z"
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} |