2 Commits (0d17c6364a2b077e7a1b1738b855827c73c0c9c8)

Author	SHA1	Message	Date
Sven Geboers	a78bee9b0a	feat(similarity): add precomputed similarity cache, fix fusion N+1, add 429 retry ... - Add similarity/ package (compute.py, lookup.py) with numpy-based pairwise cosine similarity and cached lookup - database.py: create embeddings + similarity_cache tables in _init_database(), add store_similarity_batch/get_cached_similarities/clear_similarity_cache helpers - pipeline/fusion.py: replace N+1 per-motion embedding SELECT with single bulk JOIN using DuckDB QUALIFY window function - ai_provider.py: retry HTTP 429 with Retry-After header support - migrations/2026-03-22-add-similarity-cache.sql: make executable - Add tests for similarity compute, db helpers, and 429 retry (34 pass, 2 skip)	1 month ago
Sven Geboers	a36e6cba4e	feat(pipeline): implement parliamentary embedding pipeline MVP ... - Add 4 migration files: mp_votes, mp_metadata, svd_vectors, fused_embeddings - Extend database.py with 5 new helper methods and table init - Add pipeline/ package: extract_mp_votes, fetch_mp_metadata, text_pipeline, svd_pipeline (with Procrustes alignment), fusion - Add full test suite (17 tests) covering all pipeline modules and migrations - Fix Procrustes alignment bug: scipy scale is a norm value, not a multiplier - Fix DuckDB date type handling in test assertions (datetime.date vs string) - Remove duckdb.py shim; tests now run against real duckdb + scipy via uv Ref: thoughts/shared/plans/2026-03-21-parliamentary-embedding-pipeline-plan.md	1 month ago