
Meilisearch
Open-source search engine delivering fast, typo-tolerant full-text search with relevance tuning, filtering, faceting, and REST APIs for easy app integration.

Meilisearch is an open-source search engine designed to add fast, relevant full-text search to applications and websites with minimal configuration. It provides a developer-friendly API and emphasizes “search-as-you-type” experiences with typo tolerance and built-in relevance features.
Key Features
- Typo-tolerant, relevance-based full-text search optimized for instant “as-you-type” UX
- REST API (and official client SDKs) for indexing, searching, and administration
- Filtering, faceting, sorting, and pagination for building rich search UIs
- Highlighting and crop (snippet) support for presenting results
- Synonyms and stop-words management to tune relevance
- Configurable ranking rules and searchable/displayed attributes
- Multi-index support and asynchronous task processing for indexing operations
- Security options such as API keys to control read/write/search permissions
Use Cases
- Add site search to documentation, blogs, and marketing websites
- Power product/content search in web and mobile applications (e-commerce, listings)
- Implement application search for internal tools with filters and facets
Limitations and Considerations
- Not designed as a general-purpose database; data must be indexed and kept in sync from a source of truth
- Advanced distributed/cluster features are not the primary focus compared to some enterprise search stacks
Meilisearch fits teams that want a straightforward, high-performance search backend with strong out-of-the-box relevance and simple operational overhead. It is commonly used as a lighter alternative to heavier search platforms when fast integration and good default search quality are priorities.



