C
Chisel
CDP Demo
v0.1.0
—— capability 1 of 6 · Discovery

Search 200 reports across 50 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 8, 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

—— 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.