Postgres full-text search over counselling reports, ranked by relevance. Filter by school, grade, or report kind.
Sai Choudhary. Top RIASEC dimensions: Realistic (67), Investigative (38), Artistic (37). The pattern suggests strong fit for analytical
Sai Choudhary. Top RIASEC dimensions: Realistic (67), Investigative (38), Artistic (37). The pattern suggests strong fit for analytical
Sai Choudhary. Top RIASEC dimensions: Realistic (67), Investigative (38), Artistic (37). The pattern suggests strong fit for analytical
Sai Choudhary based on assessment battery + 3 counselling sessions. Top pathway: civil services (consistent across RIASEC, DAT V, and self
Sai Choudhary (Grade 9). Discussion focused on finance as a pathway and the family's view on JEE preparation
Sai Choudhary completed the mock CET aptitude battery. Performance: Maths 60/100, Logical Reasoning 60/100, English 76/100. Time management
Every reports.text and counsellor_note is indexed by Postgres tsvector (english config). One GIN index, refreshed on insert.
Search box runs plainto_tsquery + ts_rank_cd. Filter chips (school, grade, RIASEC, kind) compose into the same SQL — no client-side filtering.
ts_headline wraps matches in <mark> tags so counsellors see the evidence in context.
Top 30 sorted by rank × recency. The aim is < 200 ms server-side on the full corpus, no Elasticsearch needed.