Postgres full-text search over counselling reports, ranked by relevance. Filter by school, grade, or report kind.
Sneha Reddy:** Honestly, more pressure now. Dad keeps saying CA and Commerce is the safe path. Mom is more
Sneha Reddy explore the recommended track for one quarter; revisit at term-end. Action: introduce Sneha Reddy to alumni
Sneha Reddy. Top RIASEC dimensions: Realistic (74), Investigative (46), Artistic (49). The pattern suggests strong fit for analytical
Sneha Reddy. Top RIASEC dimensions: Realistic (74), Investigative (46), Artistic (49). The pattern suggests strong fit for analytical
Sneha Reddy (Grade 10). Discussion focused on data science as a pathway and the family's view on managing
Sneha Reddy was engaged today. We explored their interest in data science, discussing pathway options at the intersection
Sneha Reddy 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.