Meilisearch began as a developer-first, open-source search engine and has grown into what the company now calls a unified search and AI retrieval platform. The core promise is speed and relevance with almost no configuration: you add documents through a straightforward API, and search-as-you-type results come back in under 50 milliseconds. Smart presets mean you can start querying your data without building a schema or relevance pipeline by hand.
On top of classic full-text search — with faceting, filtering, sorting and geosearch — the platform now layers semantic and hybrid search, vector storage, federated search across multiple data sources, multimodal search over images, video and audio, and search analytics. That combination is aimed at teams building RAG pipelines and conversational AI agents as much as at teams building product discovery or site search.
Because it is open source, the engine can be self-hosted, and there is also Meilisearch Cloud as a fully managed option for teams that would rather not operate it themselves. Meilisearch publishes official SDKs and integrations for JavaScript, Python, PHP, Ruby, Java, Go, .NET, Dart, Rust and Swift, plus front-end helpers for React, Vue, Angular, Rails and Symfony. The project claims tens of thousands of stars and a large contributor community alongside enterprise certifications such as SOC 2 Type II and GDPR compliance.
