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One query box across Customers + Tickets + KB articles + Events — case-insensitive substring match, zero sync code.

Algolia is unmatched on typo tolerance + synonyms + ranking-tuning depth — and is a separate vendor you sync each corpus into. Sendora Search federates across the 4 indexes your tenant already holds — `profiles`, `support_tickets`, `kb_articles`, `events` — with one query, no sync code, no second bill. Implementation is honest: Postgres `ILIKE '%query%'` matching, type-filter facets, no ranking tuning, no typo tolerance, no synonyms. The win is platform federation + zero-sync, not feature parity with Algolia. If you need best-in-class ranking, keep Algolia for that corpus. If you need "find a customer / ticket / KB article fast" from one box, this is the right shape.

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Features

  • Federates 4 indexes in one query — profiles (email + name), support_tickets (subject), kb_articles (title), events (event type). Routes live in apps/backend/src/modules/search/routes.ts:3 if you want to read the code.
  • Type filter — multi-select to narrow to one or more of the 4 indexes via ?types=profiles,tickets,....
  • Case-insensitive substring matching — Postgres ILIKE '%term%' per column. No typo tolerance, no fuzzy match, no synonyms — be explicit with the query string.
  • Zero sync code — corpus is the same tenant the rest of Sendora operates on. New row inserted by any module → immediately searchable. No webhook sync, no Algolia push, no eventual consistency window.
  • Per-type result cap — limit param caps total + 20-per-type internal cap to keep latency predictable.
  • Cmd+K embed in dashboard — quick find user by email / find KB article by title for ops teams.

Common use cases

"Find a customer fast" command palette for ops + support — same tenant, no sync, no second login.

Cross-module find (ticket + customer + KB hits for one keyword) without writing a join.

Avoid wiring a separate Algolia index for low-velocity in-app search where Postgres ILIKE is acceptable.

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