
Meilisearch
Fast search engine API with full-text, vector, and hybrid search
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Actively maintained
Last commit 25 Jul 2026.

Meilisearch is an open source search engine exposed through an API, designed to provide fast, relevant search experiences for websites and applications. It combines traditional full-text search with optional vector-based semantic retrieval to support hybrid search and AI retrieval workflows.
Key Features
- REST API for indexing documents and running searches
- Search-as-you-type with low-latency results
- Typo tolerance and configurable ranking/relevancy tuning
- Filtering, faceting, and sorting for building rich search UIs
- Geosearch for location-based filtering and ranking
- Vector storage and vector search for semantic retrieval and hybrid search
- API key-based access control, including tenant tokens for multi-tenancy
Use Cases
- Site and application search with instant results and typo tolerance
- E-commerce and catalog search with facets, filters, and sorting
- AI retrieval and RAG pipelines using hybrid (full-text + vector) search
Limitations and Considerations
- Some advanced capabilities (for example sharding and certain snapshot features) are reserved for the Enterprise Edition under a non-open-source license
- Telemetry is enabled by default but can be disabled
Meilisearch is well-suited for teams that want a developer-friendly search API that is easy to integrate, performs well out of the box, and can evolve from classic keyword search to modern hybrid AI retrieval as needs grow.
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