Normalize while preserving meaning: lowercase, strip punctuation, handle diacritics, and keep domain terms intact. Tokenize titles, headings, and link anchors with boosted weights. Index front matter fields for structured filters. Support phrase queries and proximity to reflect how we remember fragments. When a query fails, record the tokens and the clicked fix, then adapt analyzers. Politeness to language pays dividends in everyday retrieval.
Add embeddings for semantic recall without sending private notes to external services. Lightweight sentence models can run locally, building a vector index alongside keywords. At query time, blend BM25 and cosine similarity, then rerank using signals from backlinks and recency. Keep an explanation panel so you trust why results rank. Semantic cues should clarify intent, not override your explicit words without justification.
Design quick toggles for filters like note status, source type, or project. Let arrow keys move through results with live previews to validate relevance instantly. Capture implicit feedback: dwell time, immediate bounces, and rewrites. Periodically evaluate with a tiny golden set of personal queries that truly matter. Your goal is tactile confidence, where the first result is usually right and mistakes are informative.
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