120db86d74
## 결과 요약 Phase 1.3 baseline vs Phase 2 final A/B (평가셋 v0.1, 23 쿼리): - Recall@10: 0.730 → 0.737 (+0.007) - NDCG@10: 0.663 → 0.668 (+0.005) - Top-3 hit: 0.900 → 0.900 (0) - p95 latency: 171ms → 256ms (+85) - news_crosslingual NDCG: 0.27 → 0.37 (+0.10 ✓) - exact_keyword / natural_language_ko: 완전 유지 (회귀 0) ## Phase 2 게이트: 2/6 통과 ✓ news_crosslingual NDCG ≥ 0.30 ✓ latency p95 < 400ms ❌ Recall@10 ≥ 0.78 (0.737) ❌ Top-3 hit ≥ 0.93 (0.900) ❌ crosslingual_ko_en NDCG ≥ 0.65 (0.53, bge-m3 한계) ❌ 평가셋 v0.2 작성 (후속) ## 핵심 성과 (게이트 미달이지만 견고한 기반) 1. QueryAnalyzer async-only 아키텍처 (retrieval 차단 0) 2. semaphore concurrency=1 (MLX single-inference queue 폭발 방지) 3. multilingual narrowing (news/global 한정 → 회귀 0 + news 개선) 4. soft_filter boost 보수적 설정 (0.01, domain only) 5. prewarm 15개 → cache hit rate 70%+ ## infra_inventory.md soft lock 준수 - config.yaml / Ollama / compose restart 변경 0 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>