Postgres full-text search over counselling reports, ranked by relevance. Filter by school, grade, or report kind.
Veer Kapoor explore the recommended track for one quarter; revisit at term-end. Action: introduce Veer Kapoor to alumni
Veer Kapoor. Top RIASEC dimensions: Realistic (57), Investigative (35), Artistic (36). The pattern suggests strong fit for analytical
Veer Kapoor (Grade 10). Discussion focused on medicine as a pathway and the family's view on JEE preparation
Veer Kapoor completed the mock CET aptitude battery. Performance: Maths 76/100, Logical Reasoning 85/100, English 65/100. Time management
Veer Kapoor completed the mock CET aptitude battery. Performance: Maths 65/100, Logical Reasoning 73/100, English 92/100. 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.