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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. |
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Navidrome Music Server 
Navidrome is an open source web-based music collection server and streamer. It gives you freedom to listen to your music collection from any browser or mobile device. It's like your personal Spotify!
Note: The master branch may be in an unstable or even broken state during development.
Please use releases instead of
the master branch in order to get a stable set of binaries.
Check out our Live Demo!
Any feedback is welcome! If you need/want a new feature, find a bug or think of any way to improve Navidrome, please file a GitHub issue or join the discussion in our Subreddit. If you want to contribute to the project in any other way (ui/backend dev, translations, themes), please join the chat in our Discord server.
Installation
See instructions on the project's website
Cloud Hosting
PikaPods has partnered with us to offer you an officially supported, cloud-hosted solution. A share of the revenue helps fund the development of Navidrome at no additional cost for you.
Features
- Handles very large music collections
- Streams virtually any audio format available
- Reads and uses all your beautifully curated metadata
- Great support for compilations (Various Artists albums) and box sets (multi-disc albums)
- Multi-user, each user has their own play counts, playlists, favourites, etc...
- Very low resource usage
- Multi-platform, runs on macOS, Linux and Windows. Docker images are also provided
- Ready to use binaries for all major platforms, including Raspberry Pi
- Automatically monitors your library for changes, importing new files and reloading new metadata
- Supports lyrics from sidecar .ttml, .yaml/.yml Lyricsfile, .elrc, .lrc, .srt, .txt files and embedded TTML, Enhanced LRC, LRC, SRT, and plain-text tags (via
lyricspriority) - Themeable, modern and responsive Web interface based on Material UI
- Compatible with all Subsonic/Madsonic/Airsonic clients
- Transcoding on the fly. Can be set per user/player. Opus encoding is supported
- Translated to various languages
Translations
Navidrome uses POEditor for translations, and we are always looking for more contributors
Documentation
All documentation can be found in the project's website: https://www.navidrome.org/docs. Here are some useful direct links:
Screenshots
