feat(search): hybrid scoring calibration, AST context enrichment, and inspector redesign - #36
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September 30, 2026 14:35
…t tint and distinct header indicator
…bers and fixing ast extraction
…and AST context enrichment
… AST headers in search tools
…tion, score chips, and navigator bridge
…ck, and schema validation
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Summary
This PR addresses search calibration, AST context enrichment, and Inspector UX improvements:
Dynamic Hybrid Calibration & Search Modes:
dense_weight(alphain[0.0, 1.0]) with a balanced 0.5 default.search_mode:hybrid,semantic(pure vector similarity), andlexical(pure BM25 sparse matching) across vector stores (Qdrant,Chroma,PGVector).score,dense_score,sparse_score,dense_rank,sparse_rank).AST Metadata Context Enrichment:
ast_symbols.ContainerClass.method_name), clean symbol kind, andast_symbol_id.search_code,search_docs) to render rich markdown headers with symbol signatures, source permalinks, and percentage score breakdowns.Search Inspector Redesign & UX Polish:
Hybrid,Semantic,Lexical).Balanced 50/50,Semantic Bias 70/30,Keyword Bias 30/70,Pure Semantic,Pure Lexical)./admin/api/repos.CodeNavigatorwith automatic code viewer highlighting.Testing & Verification:
REQUIREMENTS.mdbaseline (1018 automated tests).