dimgigov
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FTS Engine (src/barabadb/fts/engine.nim): - Fix bm25Score doing O(n) linear scan per document - Cache IDF per token instead of recomputing for each doc - Use entry.termFreq directly instead of searching postings again - Result: FTS search +438% (249 -> 1360 queries/s) HNSW Vector Engine (src/barabadb/vector/engine.nim): - Optimize distance functions with float32 + 4x loop unrolling - Rewrite searchLayer: swap+pop instead of O(n) del, track worst-nearest instead of sorting nearest on every iteration - Result: HNSW insert +117% (245 -> 543 ops/s), search 2.2x faster Benchmarks: - Add real PostgreSQL comparison script (benchmarks/pg_bench.py) - Add report generator (benchmarks/generate_report.py) - Fix compare.nim cpuTime() bug (was dividing by 1M incorrectly) - Add nimble tasks: bench_pg, bench_report Docs: - Update README.md and docs/en/performance.md with real measured numbers - Add benchmarks/REAL_COMPARISON.md Version bump: 1.1.7 -> 1.1.8