Move from Algolia to Sendora.
Replace per-index Algolia subscriptions with Sendora Search federated across all your Sendora data.
Step-by-step
- 1
1. Inventory existing Algolia indexes
List every Algolia index + record schema + ranking config. Identify which corpus is already in Sendora (profiles, events, KB articles, tickets) vs. needs separate sync.
1 hour - 2
2. Wire Sendora Search across in-tenant data
Profiles / events / KB / tickets / audiences are auto-indexed by Sendora Search. No sync code needed. Federated query returns matches across every index in one response.
30 min config - 3
3. Migrate non-Sendora corpora (if any)
External corpora (products catalog, marketplace listings, content beyond KB) — if applicable, push to Sendora via the Search ingest API or keep on Algolia standalone for those.
Half a day per corpus - 4
4. Swap UI components
Replace Algolia InstantSearch components with Sendora Search SDK calls. Faceted UI builders ship inline. DocSearch-style embed for help center via KB module.
1 day per surface - 5
5. Validate relevance + cut over
A/B the search results vs. Algolia for 1 week. Tune Sendora's basic ranking knobs. Cut over once parity acceptable.
1 week observation
Watch-outs
- Algolia's ranking-tuning depth (Custom Ranking, Personalization, A/B index testing) is best-in-class — Sendora basic ranking won't match for high-value commerce surfaces.
- If search IS your product (marketplace, jobs board), keep Algolia or layer it on top of Sendora.
- DocSearch federation across multiple sites needs Sendora's KB embed configured per site.
Search
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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