| array_to_tsvector(text[]) | tsvector | convert array of lexemes to tsvector | array_to_tsvector('{fat,cat,rat}'::text[]) | 'cat' 'fat' 'rat' | 
| get_current_ts_config() | regconfig | get default text search configuration | get_current_ts_config() | english | 
| length(tsvector) | integer | number of lexemes in tsvector | length('fat:2,4 cat:3 rat:5A'::tsvector) | 3 | 
| numnode(tsquery) | integer | number of lexemes plus operators in tsquery |  numnode('(fat & rat) | cat'::tsquery) | 5 | 
| plainto_tsquery([ configregconfig, ]querytext) | tsquery | produce tsqueryignoring punctuation | plainto_tsquery('english', 'The Fat Rats') | 'fat' & 'rat' | 
| phraseto_tsquery([ configregconfig, ]querytext) | tsquery | produce tsquerythat searches for a phrase,
         ignoring punctuation | phraseto_tsquery('english', 'The Fat Rats') | 'fat' <-> 'rat' | 
| querytree(querytsquery) | text | get indexable part of a tsquery | querytree('foo & ! bar'::tsquery) | 'foo' | 
| setweight(vectortsvector,weight"char") | tsvector | assign weightto each element ofvector | setweight('fat:2,4 cat:3 rat:5B'::tsvector, 'A') | 'cat':3A 'fat':2A,4A 'rat':5A | 
| setweight(vectortsvector,weight"char",lexemestext[]) | tsvector | assign weightto elements ofvectorthat are listed inlexemes | setweight('fat:2,4 cat:3 rat:5B'::tsvector, 'A', '{cat,rat}') | 'cat':3A 'fat':2,4 'rat':5A | 
| strip(tsvector) | tsvector | remove positions and weights from tsvector | strip('fat:2,4 cat:3 rat:5A'::tsvector) | 'cat' 'fat' 'rat' | 
| to_tsquery([ configregconfig, ]querytext) | tsquery | normalize words and convert to tsquery | to_tsquery('english', 'The & Fat & Rats') | 'fat' & 'rat' | 
| to_tsvector([ configregconfig, ]documenttext) | tsvector | reduce document text to tsvector | to_tsvector('english', 'The Fat Rats') | 'fat':2 'rat':3 | 
| to_tsvector([ configregconfig, ]documentjson(b)) | tsvector | reduce each string value in the document to a tsvector, and then
          concatenate those in document order to produce a singletsvector | to_tsvector('english', '{"a": "The Fat Rats"}'::json) | 'fat':2 'rat':3 | 
| ts_delete(vectortsvector,lexemetext) | tsvector | remove given lexemefromvector | ts_delete('fat:2,4 cat:3 rat:5A'::tsvector, 'fat') | 'cat':3 'rat':5A | 
| ts_delete(vectortsvector,lexemestext[]) | tsvector | remove any occurrence of lexemes in lexemesfromvector | ts_delete('fat:2,4 cat:3 rat:5A'::tsvector, ARRAY['fat','rat']) | 'cat':3 | 
| ts_filter(vectortsvector,weights"char"[]) | tsvector | select only elements with given weightsfromvector | ts_filter('fat:2,4 cat:3b rat:5A'::tsvector, '{a,b}') | 'cat':3B 'rat':5A | 
| ts_headline([ configregconfig, ]documenttext,querytsquery[,optionstext]) | text | display a query match | ts_headline('x y z', 'z'::tsquery) | x y <b>z</b> | 
| ts_headline([ configregconfig, ]documentjson(b),querytsquery[,optionstext]) | text | display a query match | ts_headline('{"a":"x y z"}'::json, 'z'::tsquery) | {"a":"x y <b>z</b>"} | 
| ts_rank([ weightsfloat4[], ]vectortsvector,querytsquery[,normalizationinteger]) | float4 | rank document for query | ts_rank(textsearch, query) | 0.818 | 
| ts_rank_cd([ weightsfloat4[], ]vectortsvector,querytsquery[,normalizationinteger]) | float4 | rank document for query using cover density | ts_rank_cd('{0.1, 0.2, 0.4, 1.0}', textsearch, query) | 2.01317 | 
| ts_rewrite(querytsquery,targettsquery,substitutetsquery) | tsquery | replace targetwithsubstitutewithin query | ts_rewrite('a & b'::tsquery, 'a'::tsquery, 'foo|bar'::tsquery) | 'b' & ( 'foo' | 'bar' ) | 
| ts_rewrite(querytsquery,selecttext) | tsquery | replace using targets and substitutes from a SELECTcommand | SELECT ts_rewrite('a & b'::tsquery, 'SELECT t,s FROM aliases') | 'b' & ( 'foo' | 'bar' ) | 
| tsquery_phrase(query1tsquery,query2tsquery) | tsquery | make query that searches for query1followed
         byquery2(same as<->operator) | tsquery_phrase(to_tsquery('fat'), to_tsquery('cat')) | 'fat' <-> 'cat' | 
| tsquery_phrase(query1tsquery,query2tsquery,distanceinteger) | tsquery | make query that searches for query1followed byquery2at distancedistance | tsquery_phrase(to_tsquery('fat'), to_tsquery('cat'), 10) | 'fat' <10> 'cat' | 
| tsvector_to_array(tsvector) | text[] | convert tsvectorto array of lexemes | tsvector_to_array('fat:2,4 cat:3 rat:5A'::tsvector) | {cat,fat,rat} | 
| tsvector_update_trigger() | trigger | trigger function for automatic tsvectorcolumn update | CREATE TRIGGER ... tsvector_update_trigger(tsvcol, 'pg_catalog.swedish', title, body) |  | 
| tsvector_update_trigger_column() | trigger | trigger function for automatic tsvectorcolumn update | CREATE TRIGGER ... tsvector_update_trigger_column(tsvcol, configcol, title, body) |  | 
| unnest(tsvector, OUTlexemetext, OUTpositionssmallint[], OUTweightstext) | setof record | expand a tsvectorto a set of rows | unnest('fat:2,4 cat:3 rat:5A'::tsvector) | (cat,{3},{D}) ... |