Typesense

Typesense — Technical Use Cases

1. E-commerce product search Leverage in-memory indexing, typo tolerance, and geo search to deliver sub-millisecond product search with faceted filtering. The Instantsearch.js adapter allows teams migrating from Algolia to reuse existing UI components.

2. Documentation & knowledge base search Native Docusaurus integration and support for federated search across multiple collections make Typesense well-suited for developer portals and internal knowledge bases.

3. Vector & semantic search / RAG pipelines Typesense supports embedding-based vector search natively, enabling hybrid keyword + semantic retrieval. The built-in RAG support allows engineers to construct retrieval-augmented generation pipelines without additional middleware.

4. Multi-tenant SaaS search Federated search across collections, combined with easy high availability via cluster replication, supports multi-tenant architectures where each tenant's data is isolated in separate collections.

5. Firebase-backed applications The Firebase integration enables real-time sync between Firestore documents and Typesense indexes, adding full-text and typo-tolerant search to Firebase projects with minimal custom code.

6. Self-hosted, compliance-sensitive deployments Teams with data residency or compliance requirements can self-host via Docker or binaries, retaining full control over data without relying on third-party infrastructure.

Scaling: Managed clusters scale from 0.5 GB RAM (prototyping) to 1,024 GB RAM with optional GPU acceleration and SDN for globally distributed, low-latency search.