# `SuperPi.Memory.Search.Tsvector`
[🔗](https://github.com/oleksandr/super-pi-beam/blob/v0.1.0/lib/super_pi/memory/search/tsvector.ex#L1)

PostgreSQL backend: the generated `memories.search` `tsvector` column under a GIN index, ranked by
`ts_rank_cd` (title weight A, topics B, body C).

The query goes through `websearch_to_tsquery('simple', ...)`, which never raises on user text.
Words are joined by `or`, so a note matches on any word. The word `or` itself is dropped because
the parser reads it as the operator. The `simple` configuration does not stem and does not fold
accents, so `deploys` does not match `deploy` and `cafe` does not match `café`.

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*Consult [api-reference.md](api-reference.md) for complete listing*