Are there new indexing strategies in PostgreSQL fifteen that drastically improve full-text search performance over the older trigram extensions?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Are there new indexing strategies in PostgreSQL fifteen that drastically improve full-text search performance over the older trigram extensions?
1 real search · 1 real-search pass
PostgreSQL 15 full text search GIN pg_trgm indexing performance RUM extension documentationGoogle ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 1 queries…
Searches and sources
ChatGPT1 real searches · gpt-6
PostgreSQL 15 full text search GIN pg_trgm indexing performance RUM extension documentation Google ↗
- Postgres Pro Enterprise : Documentation: 15: F.68. rum : Postgres Professional · postgrespro.com
- RUM: improved inverted index for full-text search based on GIN index · supabase.com
- PostgreSQL: Documentation: 15: F.35. pg_trgm · postgresql.org