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feat(core): support unsegmented-script full-text search - #1373

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research/1294-cjk-search
Aug 30, 2026
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feat(core): support unsegmented-script full-text search#1373
phernandez merged 27 commits into
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research/1294-cjk-search

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@phernandez phernandez commented Aug 29, 2026

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Why

SQLite's unicode61 tokenizer treats an unsegmented CJK character run as one token. As a
result, common terms and phrases inside a longer run cannot be found with full-text search.
The same limitation affects other writing systems that commonly omit spaces between words.

This change adds a portable search representation for unsegmented scripts that works in both
SQLite and PostgreSQL-backed Cloud projects while preserving the existing word-oriented FTS
path.

Closes #1294.

What Changed

  • Generate normalized character unigrams and overlapping bigrams for Han, Japanese kana,
    Hangul, Bopomofo, Thai, Lao, Tibetan, Myanmar, and Khmer text.
  • Index those script terms alongside the existing full-text representation in SQLite and
    PostgreSQL.
  • Translate natural-language queries into existing word terms plus ordered script-bigram
    phrases, preserving the current parser for explicit Boolean expressions.
  • Add an Alembic migration for existing SQLite and PostgreSQL databases.
  • Document upgrade and reindex requirements for local and Cloud deployments.

No new user configuration is required. Existing word-based full-text search remains available
immediately after migration; existing rows gain script substring recall after reindexing.

Implementation Details

  • repository/script_ngrams.py owns NFKC normalization, script classification, gram generation,
    and the typed query representation.
  • SQLite stores grams in a new indexed FTS5 column.
  • PostgreSQL stores grams on both parent and bounded child search rows, with generated
    simple-configuration tsvector columns and GIN indexes. Searching both levels allows a
    match to cross an FTS chunk boundary.
  • Mixed-script tokens such as foo適者bar remain on each backend's established word-FTS path;
    the auxiliary channel only adds script substring recall. This deliberately avoids inventing
    approximate word-prefix or cross-token composition semantics.
  • Migration d2e3f4a5b6c7 adds the new columns and indexes without changing existing FTS columns.
    Existing rows receive empty gram values until they are reindexed.

Apply the database migration before starting the new binary. After upgrading, local users with
existing content run bm reindex --full --search; Cloud should run the managed fleet FTS reindex
after tenant migrations complete. Old binaries remain compatible with the additive schema.

Testing

Automated

  • uv run pytest tests/repository/test_script_ngrams.py -q: 51 passed, 2 skipped.
  • BASIC_MEMORY_TEST_POSTGRES=1 uv run pytest tests/repository/test_script_ngrams.py -q: 49
    passed, 4 skipped.
  • Focused SQLite and PostgreSQL regressions for script substrings inside mixed tokens and the
    distributed-token false positive: 2 passed per backend.
  • Targeted Ruff lint and format checks for all changed Python files: passed.
  • Previous branch verification also passed the migration, broader search repository, doctor,
    and targeted type-check suites; CI validates the complete matrix on the latest head.

Manual

  • Applied the full Alembic chain to a fresh SQLite database and verified the new FTS column.
  • Verified upgrade and downgrade preservation against an existing SQLite search table.

Risks / Follow-ups

  • Existing content requires the documented FTS reindex before script substring search works.
  • Explicit Boolean expressions keep current backend parser semantics.
  • Richer matching inside mixed-script tokens is intentionally out of scope; it would require a
    token-local verification design rather than independent document-level FTS terms.
  • Embedding-model language coverage and quality need separate benchmarking and are tracked in
    Benchmark and select a multilingual FastEmbed model for semantic search #1372.

Signed-off-by: phernandez <paul@basicmachines.co>
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phernandez merged commit 9476c7e into main Aug 30, 2026
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phernandez deleted the research/1294-cjk-search branch August 30, 2026 15:56
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[enhancement] CJK (Chinese/Japanese/Korean) full-text search broken — hardcoded unicode61 tokenizer doesn't segment CJK

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