Postgres full-text search over counselling reports, ranked by relevance. Filter by school, grade, or report kind.
Aanya Iyer completed the mock CET aptitude battery. Performance: Maths 89/100, Logical Reasoning 80/100, English 94/100. Time management
Aanya Iyer based on assessment battery + 3 counselling sessions. Top pathway: architecture (consistent across RIASEC, DAT V, and self
Aanya Iyer based on assessment battery + 3 counselling sessions. Top pathway: data science (consistent across RIASEC, DAT V, and self
Aanya Iyer was engaged today. We explored their interest in data science, discussing pathway options at the intersection
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.