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mruwnik
782b56939f
- Add query_analysis.py for LLM-based query preprocessing
- Detects modalities from natural language ("on lesswrong" -> forum)
- Cleans meta-language ("I remember reading..." -> core query)
- Generates query variants for better recall
- Dynamically discovers modalities and domains from database
- Extract constants to constants.py
- STOPWORDS, RRF_K, boost values, etc.
- Cleaner separation of configuration from logic
- Refactor search_chunks into focused helper functions
- _run_llm_analysis: parallel query analysis + HyDE
- _apply_query_analysis: apply analysis results
- _build_search_data: construct search data with variants
- _run_searches: embedding + BM25 with RRF fusion
- _fetch_chunks: database retrieval with scoring
- _apply_boosts: title, popularity, recency boosts
- _apply_reranking: cross-encoder reranking
- Remove redundant regex-based modality detection
- Remove static QUERY_EXPANSIONS (LLM handles this better)
- Add comprehensive tests for query_analysis module
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>