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* feat(search): boost exact token matches over prefix matches buildFTS5Query now emits (word OR word*) instead of word* for plain tokens. The match set is unchanged (exact is a subset of prefix), but bm25 gives the rare exact token a high-IDF contribution, so rows containing the literal query word rank above prefix-only matches. The degraded-query check keeps evaluating the plain prefix form, preserving the LIKE fallback for queries like "1+" and "C++". * feat(search): weight artist search_normalized equal to name in bm25 For the artist table, search_normalized holds only the artist's name in alternate spelling (transliterated/punctuation-stripped), so a hit there is as meaningful as a name hit. Combined with exact-token boosting, artists like MØ now rank in the top results for the query "MO" instead of dead last. media_file and album keep weight 1.0 because their search_normalized mixes title, album, and artist variants. * test(persistence): add exact-match ranking regression test Seeds MØ, Morrissey, and Modest Mouse and asserts MØ ranks first for the queries "MO" and "MØ": the exact transliterated hit in search_normalized must outrank name-prefix matches. The corpus deliberately has no competing exact-word names, since exact-vs-exact ordering depends on corpus statistics rather than the guaranteed exact-over-prefix property. Rows are inserted per-test (with their library_artist associations) and cleaned up to avoid disturbing the shared seed fixtures and their count assertions. * docs(search): document exact-token OR emission in buildFTS5Query * test(persistence): harden exact-match ranking test fixtures Register the corpus cleanup before the insert loop so a mid-loop assertion failure cannot leak fts-rank-% rows into the shared integration DB, and reuse the existing createArtistWithLibrary helper instead of hand-rolling Put+AddArtist (which also replaces the ad-hoc context.TODO with the helper's GinkgoT().Context). * fix(search): flag multi-word degraded queries for the LIKE fallback The degradation probe was joined with explicit " AND " like the real query, so ftsQueryDegraded counted the literal AND as a long token and never flagged queries where every term degrades to a short token (e.g. "1+ 2+"). This predates this branch (the old code passed the same AND-joined string), but the probe now exists separately, so join it with spaces — it only feeds ftsQueryDegraded, which needs no explicit operators.