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- Add bm25 dependency with parallelism feature enabled - Introduce comprehensive BM25 scoring module with per-field weighting support - Implement configurable BM25 parameters (k1, b, avgdl) for fine-tuning - Replace hardcoded BM25 parameters with Bm25Params struct - Move stopwords and keyword extraction to shared bm25 module - Add FieldWeights struct for different field importance (title, summary, content) - Implement BM25 engine with fit-to-corpus functionality for accurate scoring - Update RelevanceScorer to use new Bm25Params configuration The new BM25 implementation provides: - Per-field weighting for more accurate document scoring - Configurable length normalization and term frequency saturation - IDF caching for efficient scoring operations - Query expansion support for enhanced search capabilities
- Update package version in Cargo.toml
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