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Implement tsvector search support

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PrivateGER 2025-02-19 14:55:50 +01:00
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.config/example.yml
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@ -222,6 +222,14 @@ fulltextSearch:
# You need to install pgroonga and configure it as a PostgreSQL extension.
# In addition to the above, you need to create a pgroonga index on the text column of the note table.
# see: https://pgroonga.github.io/tutorial/
# - tsvector
# Use Postgres tsvectors.
# You need to create a generated column and index on the note table to use this, followed by an ANALYZE on the table. Beware, this will take a while to be created and the database will remain locked during this process.
# This also enables advanced search syntax, see documentation of websearch_to_tsquery: https://www.postgresql.org/docs/current/textsearch-controls.html#TEXTSEARCH-PARSING-QUERIES
# Support for non-English languages is currently rather poor and will be improved once post languages become a feature.
# ALTER TABLE note ADD COLUMN tsvector_embedding tsvector GENERATED ALWAYS AS ( to_tsvector('english', COALESCE(text, '') || ' ' || COALESCE(cw, '') || ' ' || COALESCE(name, ''))) STORED;
# CREATE INDEX vector_idx ON note USING GIN (tsvector_embedding);
# ANALYZE note;
# - meilisearch
# Use Meilisearch.
# You need to install Meilisearch and configure.