EPISODE · May 24, 2024 · 50 MIN
Full text search
from Postgres FM · host Nikolay Samokhvalov and Michael Christofides
Nikolay and Michael discuss full text search in Postgres — some of the history, some of the features, and whether it now makes sense to try to replace or combine it with semantic search. Here are some links to things they mentioned:Full Text Search https://www.postgresql.org/docs/current/textsearch.htmltsearch2 https://www.postgresql.org/docs/9.6/tsearch2.htmlDictionaries https://www.postgresql.org/docs/current/textsearch-dictionaries.html RUM index https://github.com/postgrespro/rum Okapi BM25 https://en.wikipedia.org/wiki/Okapi_BM25 tf–idf https://en.wikipedia.org/wiki/Tf%E2%80%93idf unaccent https://www.postgresql.org/docs/current/unaccent.html tsvector and tsquery https://www.postgresql.org/docs/current/datatype-textsearch.html GiST indexes https://www.postgresql.org/docs/current/gist.html GIN indexes https://www.postgresql.org/docs/current/gin.html Controlling Text Search (including setweight function) https://www.postgresql.org/docs/current/textsearch-controls.html pg_trgrm https://www.postgresql.org/docs/current/pgtrgm.html btree_gist https://www.postgresql.org/docs/current/btree-gist.html btree_gin https://www.postgresql.org/docs/current/btree-gin.html websearch_to_tsquery https://www.postgresql.org/docs/current/textsearch-controls.html#TEXTSEARCH-PARSING-QUERIES pgvector https://github.com/pgvector/pgvector Our previous episode on search https://postgres.fm/episodes/search ~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is brought to you by:Nikolay Samokhvalov, founder of Postgres.aiMichael Christofides, founder of pgMustardWith special thanks to:Jessie Draws for the amazing artwork
What this episode covers
Nikolay and Michael discuss full text search in Postgres — some of the history, some of the features, and whether it now makes sense to try to replace or combine it with semantic search. Here are some links to things they mentioned:Full Text Search https://www.postgresql.org/docs/current/textsearch.htmltsearch2 https://www.postgresql.org/docs/9.6/tsearch2.htmlDictionaries https://www.postgresql.org/docs/current/textsearch-dictionaries.html RUM index https://github.com/postgrespro/rum Okapi BM25 https://en.wikipedia.org/wiki/Okapi_BM25 tf–idf https://en.wikipedia.org/wiki/Tf%E2%80%93idf unaccent https://www.postgresql.org/docs/current/unaccent.html tsvector and tsquery https://www.postgresql.org/docs/current/datatype-textsearch.html GiST indexes https://www.postgresql.org/docs/current/gist.html GIN indexes https://www.postgresql.org/docs/current/gin.html Controlling Text Search (including setweight function) https://www.postgresql.org/docs/current/textsearch-controls.html pg_trgrm https://www.postgresql.org/docs/current/pgtrgm.html btree_gist https://www.postgresql.org/docs/current/btree-gist.html btree_gin https://www.postgresql.org/docs/current/btree-gin.html websearch_to_tsquery https://www.postgresql.org/docs/current/textsearch-controls.html#TEXTSEARCH-PARSING-QUERIES pgvector https://github.com/pgvector/pgvector Our previous episode on search https://postgres.fm/episodes/search ~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is brought to you by:Nikolay Samokhvalov, founder of Postgres.aiMichael Christofides, founder of pgMustardWith special thanks to:Jessie Draws for the amazing artwork
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Full text search
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