—— 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: "Drishti Khan"

3 results

ranked by relevance · top 30
Session transcript May 15, 2026 rank 0.518

Counselling session · Drishti Khan · Mar 19, 2026

Drishti Khan
CY-24820 · Gr 11
Banyan Tree Public School

Drishti Khan:** Honestly, more pressure now. Dad keeps saying CA and Commerce is the safe path. Mom is more

Open session → /scheduling/19
Parent meeting Jul 29, 2025 rank 0.343

Parent meeting — Drishti Khan's pathway plan

Drishti Khan
CY-24820 · Gr 11
Banyan Tree Public School

Drishti Khan (Grade 11). Discussion focused on design as a pathway and the family's view on time

Open student insights → /insights/20
Parent meeting Jan 16, 2025 rank 0.343

Parent meeting — Drishti Khan's pathway plan

Drishti Khan
CY-24820 · Gr 11
Banyan Tree Public School

Drishti Khan (Grade 11). Discussion focused on civil services as a pathway and the family's view on stream

Open student insights → /insights/20
—— 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.