A lightning-fast search engine API that brings AI-powered hybrid search to your sites and applications.
Meilisearch is a lightning-fast, open-source search engine API designed to be easily integrated into applications and websites. It provides AI-powered hybrid search, combining semantic and full-text search to deliver highly relevant results with features like typo tolerance, filtering, and geosearch working out-of-the-box. It solves the problem of building complex, performant search functionality from scratch.
Developers and teams building websites, e-commerce platforms, SaaS applications, or any software requiring fast, relevant, and customizable search capabilities.
Developers choose Meilisearch for its exceptional speed, ease of integration, and powerful feature set that requires minimal configuration. Its open-source nature, self-hosting capability, and AI-ready design with support for conversational search and personalization offer a compelling alternative to proprietary search services.
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
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Search-as-you-type delivers results in under 50 milliseconds, enabling real-time user experiences as highlighted in the README's key features.
Combines semantic and full-text search out-of-the-box, providing highly relevant results without extensive configuration, demonstrated in the movies demo.
Optimized for languages like Chinese, Japanese, and Hebrew, reducing the need for custom language processing setups, as noted in the features list.
Includes conversational search and personalization, with seamless compatibility for LangChain and MCP, making it ready for modern AI applications.
Advanced scaling features like sharding and S3-streaming snapshots are locked behind the Enterprise Edition, requiring a commercial license for production use, as stated in the licensing section.
While easy to install, managing replication, updates, and horizontal scaling in a self-hosted environment adds significant operational overhead beyond the core API.
Anonymized data collection is enabled by default, which might concern privacy-focused teams and requires manual disabling, as mentioned in the telemetry documentation.