Postgres full-text search over counselling reports, ranked by relevance. Filter by school, grade, or report kind.
Vanya Singh based on assessment battery + 3 counselling sessions. Top pathway: civil services (consistent across RIASEC, DAT V, and self
Vanya Singh completed the mock CET aptitude battery. Performance: Maths 70/100, Logical Reasoning 95/100, English 86/100. Time management
Vanya Singh based on assessment battery + 3 counselling sessions. Top pathway: engineering (consistent across RIASEC, DAT V, and self
Vanya Singh based on assessment battery + 3 counselling sessions. Top pathway: finance (consistent across RIASEC, DAT V, and self
Vanya Singh was engaged today. We explored their interest in medicine, discussing pathway options at the intersection of curiosity
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.