Search API Integration: Algolia and Typesense
Dedicated search APIs provide fast, relevance-ranked, typo-tolerant search capabilities that traditional database queries cannot match. Integrating a search API enables product search, documentation search, and content search experiences that perform at sub-100ms speeds with sophisticated relevance.
Why Not Use Database Search?
Database full-text search (SQL LIKE queries, PostgreSQL full-text search) has significant limitations for user-facing search: no typo tolerance, limited relevance ranking, slow performance at scale, no faceted filtering, no real-time indexing. Dedicated search engines solve all of these.
Algolia
Market leader for search-as-a-service. Hosted search with exceptional performance (<50ms typical response times globally), outstanding developer experience, and comprehensive features: typo tolerance, synonyms, faceting, personalisation, and A/B testing. InstantSearch frontend components accelerate UI development. Pricing based on operations and records — can become significant at scale.
Typesense
Open-source Algolia alternative. Can be self-hosted (free) or used as Typesense Cloud (managed). Similar feature set to Algolia: typo tolerance, faceting, vector search. No per-operation pricing when self-hosted — significantly more cost-effective at volume. Slightly less mature than Algolia but rapidly improving.
Integration Pattern
- Maintain a search index alongside your database — sync records to the search engine on create/update/delete
- Use webhooks or event-driven sync for real-time updates
- Consider full re-index for major schema changes
- Search queries go directly to the search engine — don't proxy through your API unless necessary