Scale test: 2.47M rows + 10K vector index benchmarked

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>

data/_catalog/manifests/c0224239-a265-4b15-a1e2-ebbc96aee60c.json

@@ -0,0 +1,15 @@
+{
+  "id": "c0224239-a265-4b15-a1e2-ebbc96aee60c",
+  "name": "email_log",
+  "schema_fingerprint": "auto",
+  "objects": [
+    {
+      "bucket": "data",
+      "key": "datasets/email_log.parquet",
+      "size_bytes": 16768671,
+      "created_at": "2026-03-27T13:15:28.446541739Z"
+    }
+  ],
+  "created_at": "2026-03-27T13:15:28.446547070Z",
+  "updated_at": "2026-03-27T13:15:28.446547070Z"
+}