Meilisearch is a lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications. It offers features like typo tolerance and semantic search to shape a delightful search experience.
Meilisearch is a lightning-fast search engine API designed to integrate AI-powered hybrid search into websites and applications. It provides a delightful search experience with features that work out of the box, including search-as-you-type with results in under 50 milliseconds, typo tolerance, and filtering. The tool supports both semantic and full-text search, offering extensive language support, geosearch, and personalization options. Meilisearch is highly customizable, offers a RESTful API for easy integration, and includes security management with fine-grained API key permissions. It also supports conversational search and is AI-ready with LangChain and the Model Context Protocol (MCP).
Best used for
Ideal for developers who need to integrate fast and relevant search into their applications, build e-commerce search, and create personalized user experiences. Especially valuable for those requiring hybrid search capabilities combining semantic and full-text search with out-of-the-box features.
What is the difference between Meilisearch Community Edition and Enterprise Edition?
The Community Edition (CE) is fully open source under the MIT license, offering core search engine features like fast full-text, semantic, or hybrid search. The Enterprise Edition (EE) includes advanced features such as sharding and S3-streaming snapshots, governed by a commercial license for production use.
Does Meilisearch offer cloud hosting for its search engine?
Yes, Meilisearch Cloud is available to supercharge your experience, eliminating the need for server deployment and manual updates. It includes additional features like analytics and monitoring across various regions, with no credit card required to start.
Can Meilisearch handle typos and misspellings in search queries?
Absolutely. Meilisearch features built-in typo tolerance, ensuring users get relevant matches even when their queries contain typos or misspellings. This helps provide a more forgiving and intuitive search experience for your application's users.