Postgres full-text search over counselling reports, ranked by relevance. Filter by school, grade, or report kind.
Pranav Krishnan. Top RIASEC dimensions: Realistic (58), Investigative (89), Artistic (69). The pattern suggests strong fit for analytical
Pranav Krishnan. Top RIASEC dimensions: Realistic (58), Investigative (89), Artistic (69). The pattern suggests strong fit for analytical
Pranav Krishnan (Grade 9). Discussion focused on finance as a pathway and the family's view on balancing
Pranav Krishnan completed the mock CET aptitude battery. Performance: Maths 91/100, Logical Reasoning 81/100, English 72/100. Time management
Pranav Krishnan completed the mock CET aptitude battery. Performance: Maths 87/100, Logical Reasoning 88/100, English 92/100. Time management
Pranav Krishnan completed the mock CET aptitude battery. Performance: Maths 55/100, Logical Reasoning 87/100, English 75/100. Time management
Pranav Krishnan based on assessment battery + 3 counselling sessions. Top pathway: research (consistent across RIASEC, DAT V, and self
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.