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
388 B
JSON
15 lines
388 B
JSON
{
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"id": "dcca449b-a2f6-4c1f-99b6-c69dcdbdd204",
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"name": "placements",
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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/placements.parquet",
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"size_bytes": 1213820,
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"created_at": "2026-03-27T13:15:18.264258909Z"
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}
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],
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"created_at": "2026-03-27T13:15:18.264266375Z",
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"updated_at": "2026-03-27T13:15:18.264266375Z"
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} |