refactor: extract shared query parser module, clean up imports

fix: reranker degradation, skip_reranker bug, eval latency, branch cleanup

feat: full 100k index pipeline - switch from samples to full offset index

feat: final smoke-test fixes + spectacular README + UI bugfixes

feat(data): remove generate_data.py script

feat(search): add --profiles option to build_indexes.py

feat(data): implement candidate profile generation script

chore: fix all ruff lint errors (174 -> 0), clean up unused imports/vars, fix line lengths

Fix e2e test failures: planner/reflector timeouts, bias-detector, listwise-rank API

feat(extraction): add FieldExtractor pipeline, ProfileStore with lazy loading, and skill matching

feat(100K): index full 100K dataset, 500-query eval, server validation

feat(eval): add ground truth generation, real evaluation metrics, remove demo mode

feat(scripts): rewrite build_indexes and evaluate with streaming and demo mode

feat: Phase 13 evaluation — P@k, R@k, MRR, nDCG, latency stats

feat: Phase 12 index building — FAISS + BM25 from profiles

chore: create directory structure with __init__.py files and placeholder scripts