Meilisearch

Overview

Meilisearch is an open-source, user-focused search engine and unified information retrieval platform that helps teams build, scale, and unify search and AI retrieval across any website or application. Positioned as the next generation of search, it is designed to be flexible and powerful while remaining easy to integrate. The platform supports search-as-you-type and returns answers in less than 50 milliseconds, faster than the blink of an eye. With smart presets and plug-and-play deployment, developers can start searching through their data in minutes, with zero configuration, while the engine provides out-of-the-box great relevancy that fits every use case.

Meilisearch delivers a comprehensive retrieval toolkit. Its full-text search engine is the most advanced in its class, supporting geosearch, faceting, filtering, and sorting for improved relevancy and complex interfaces. Semantic search adds deeper understanding and context to queries, while hybrid search blends the efficiency of full-text retrieval with the semantic depth of AI-powered embeddings. The platform also offers multimodal search, letting users search across images, video, audio, and text. Vector storage is built in for advanced similarity queries and RAG applications, and federated search enables simultaneous queries across multiple data sources. Comprehensive search analytics give teams actionable insights and help drive data-informed product decisions.

Meilisearch prioritizes developer experience. The API is self-explanatory, and first-party SDKs are provided for JavaScript, PHP, Python, Ruby, Java, Go, .NET, Dart, Rust, and Swift. Instant integrations exist for popular frontend and backend frameworks, including React, Vue, Angular, Rails, and Symfony. The platform is open source, with a thriving community on GitHub and Discord, and it is also available as Meilisearch Cloud, a managed solution for production workloads at scale. It meets enterprise standards with SOC 2 Type II compliance and GDPR readiness.

Meilisearch is used for a wide range of scenarios: site search, application search, knowledge bases, e-commerce product discovery, media content search, and enterprise search across private and public data. It is also an ideal foundation for conversational AI, AI agents, and RAG pipelines, where traditional search is combined with AI-powered retrieval to deliver richer, more meaningful user experiences. Whether deployed on-premises, self-hosted, or in the cloud, Meilisearch unifies search and AI retrieval into a single, reliable platform.

Core capabilities

Full-text search

Leverage reliable and performant search with features like geosearch and faceting for improved relevancy.

Semantic search

Unlock deeper understanding and context in search queries for more meaningful results.

Hybrid search

Blend full-text search efficiency and semantic depth for an unparalleled search experience.

Multimodal search

Search across images, video, and audio alongside text with AI-powered embeddings.

Vector storage

Store and retrieve vectors for advanced search, similarity queries, or RAG applications.

Federated search

Search across multiple data sources at once to boost user experience and result relevancy.

Filtering, faceting, and sorting

Build complex search interfaces with a powerful toolkit, integrating full-text and semantic search.

Search analytics

Gain actionable insights and make data-driven decisions with comprehensive search analytics.

Geosearch

Deliver location-specific results by allowing users to filter and sort results based on location.

Use cases

Site search for documentation, help centers, marketing websites, and public portals

Application search for user-facing features and internal tools

Knowledge base and semantic retrieval for corporate information access

E-commerce product search with filtering, faceting, sorting, and geolocation

Media search across images, video, audio, and text with multimodal AI

Conversational AI and agent pipelines leveraging vector storage and hybrid RAG

Federated search across multiple platforms and data sources