—— 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: "Aaradhya Rao"

3 results

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

Counselling session · Aaradhya Rao · Apr 28, 2026

Aaradhya Rao
CY-32699 · Gr 9
Banyan Tree Public School

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

Open session → /scheduling/21
Assessment Jan 20, 2026 rank 0.375

RIASEC + DAT V battery interpretation — Aaradhya Rao

Aaradhya Rao
CY-32699 · Gr 9
Banyan Tree Public School

Aaradhya Rao. Top RIASEC dimensions: Realistic (59), Investigative (29), Artistic (36). The pattern suggests strong fit for analytical

Open student insights → /insights/32
Test result May 8, 2025 rank 0.34

Mock CET / aptitude battery — Aaradhya Rao

Aaradhya Rao
CY-32699 · Gr 9
Banyan Tree Public School

Aaradhya Rao completed the mock CET aptitude battery. Performance: Maths 76/100, Logical Reasoning 85/100, English 76/100. Time management

Open student insights → /insights/32
—— 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.