—— capability 1 of 6 · Discovery

Search 200 reports across 52 students

Postgres full-text search over counselling reports, ranked by relevance. Filter by school, grade, or report kind.

Filters: Clear all
Showing: "Rohan Mehta"

1 result

ranked by relevance · top 30
Session note Nov 16, 2025 rank 0.19

Career exploration session — Grade 9

Rohan Mehta
CY-71786 · Gr 9
Aurora International Academy

Rohan Mehta was engaged today. We explored their interest in architecture, discussing pathway options at the intersection of curiosity

Open student insights → /insights/48
—— how Discovery works

Postgres FTS over every report, note and transcript

1
Tokenize

Every reports.text and counsellor_note is indexed by Postgres tsvector (english config). One GIN index, refreshed on insert.

2
Query

Search box runs plainto_tsquery + ts_rank_cd. Filter chips (school, grade, RIASEC, kind) compose into the same SQL — no client-side filtering.

3
Highlight

ts_headline wraps matches in <mark> tags so counsellors see the evidence in context.

4
Rank

Top 30 sorted by rank × recency. The aim is < 200 ms server-side on the full corpus, no Elasticsearch needed.