Postgres full-text search over counselling reports, ranked by relevance. Filter by school, grade, or report kind.
Mira Krishnan based on assessment battery + 3 counselling sessions. Top pathway: design (consistent across RIASEC, DAT V, and self
Mira Krishnan (Grade 10). Discussion focused on engineering as a pathway and the family's view on managing
Mira Krishnan completed the mock CET aptitude battery. Performance: Maths 58/100, Logical Reasoning 57/100, English 72/100. Time management
Mira Krishnan based on assessment battery + 3 counselling sessions. Top pathway: entrepreneurship (consistent across RIASEC, DAT V, and self
Mira Krishnan was engaged today. We explored their interest in research, 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.