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: "Sneha Rao"

2 results

ranked by relevance · top 30
Assessment Apr 2, 2025 rank 0.375

RIASEC + DAT V battery interpretation — Sneha Rao

Sneha Rao
CY-26060 · Gr 12
Jacaranda Heights

Sneha Rao. Top RIASEC dimensions: Realistic (34), Investigative (44), Artistic (31). The pattern suggests strong fit for analytical

Career review Feb 6, 2025 rank 0.305

Career review — Sneha Rao (consolidated)

Sneha Rao
CY-26060 · Gr 12
Jacaranda Heights

Sneha Rao based on assessment battery + 3 counselling sessions. Top pathway: research (consistent across RIASEC, DAT V, and self

—— 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.