Postgres full-text search over counselling reports, ranked by relevance. Filter by school, grade, or report kind.
Sneha Kapoor. Top RIASEC dimensions: Realistic (24), Investigative (80), Artistic (45). The pattern suggests strong fit for analytical
Sneha Kapoor (Grade 9). Discussion focused on architecture as a pathway and the family's view on managing
Sneha Kapoor (Grade 9). Discussion focused on architecture as a pathway and the family's view on balancing
Sneha Kapoor based on assessment battery + 3 counselling sessions. Top pathway: data science (consistent across RIASEC, DAT V, and self
Sneha Kapoor was engaged today. We explored their interest in design, 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.