Replacing a `3GB` `SQLite` dictionary with a `10MB` `FST` binary

When autocomplete data explodes into tens of millions of forms, static FST indexing beats SQLite FTS on distribution cost. For read-heavy search, this is a strong pattern for mobile and edge delivery.

[ KEY POINTS ]

A Finnish-English dictionary grew to 40M-60M entries after inflection expansion, pushing trie-based search past practical limits.
A temporary SQLite FTS approach was fast enough at query time, but shipping an initial 3GB download broke usability.
A compiled FST binary cut the payload to about 10MB, turning a search structure into something app-bundle-sized.
This pattern fits datasets that are mostly static and prefix-search-heavy, where update flexibility matters less than footprint.

Originalnews.hada.io/topic?id=29379Read original →

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Replacing a `3GB` `SQLite` dictionary with a `10MB` `FST` binary

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Hugging Face revives `PapersWithCode` with AI-parsed leaderboards

`rkdebian` turns an $80 RK3562 Android tablet into a Debian workstation

Stay Native Until Text Forces Your Hand