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Meilisearch

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Fast search engine API with full-text, vector, and hybrid search

59.2k stars 2.7k forks last commit first released

Actively maintained

Last commit 3 Sept 2026.

Meilisearch screenshot

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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