Pre-build BM25 indices in extraction pipeline #58
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Previously, BM25 indices were built from scratch at runtime by loading all 380K+ declaration names from the database. This caused slow MCP server startup times. Changes: - Add build_bm25_indices() to extraction pipeline (index.py) - Extraction pipeline now builds both FAISS and BM25 indices - SearchEngine loads pre-built BM25 indices from disk - Add BM25 index paths to Config - Update tests for new extraction_path parameter and BM25 mocking
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Previously, BM25 indices were built from scratch at runtime by loading all 380K+ declaration names from the database. This caused slow MCP server startup (~30s just for BM25 building).
Changes
build_bm25_indices()to extraction pipelineImpact
MCP server startup is now faster - BM25 indices load instantly instead of being built from scratch.