Description
Meilisearch is a flexible, user-focused search engine and unified AI retrieval platform that can be added to any website or application. It returns search-as-you-type results in under 50 milliseconds, deploys in minutes with smart presets and zero configuration, and delivers great out-of-the-box relevancy for every use case.
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Beyond full-text search, Meilisearch offers semantic search, hybrid search that blends full-text efficiency with semantic depth, multimodal search across images, video, and audio, vector storage for similarity queries and RAG applications, federated search across multiple data sources, filtering, faceting, sorting, geosearch, and search analytics. Official SDKs and integrations cover more than 20 languages and frameworks including JavaScript, Python, Ruby, PHP, Go, Rust, React, Vue, Laravel, and Rails.
Meilisearch is open source and trusted by 20,000+ teams, with millions of downloads, tens of thousands of servers in production, and a large community of contributors on GitHub and Discord.
Pricing includes free open-source self-hosting, managed Cloud with usage-based or resource-based billing and a 14-day free trial (no credit card required), and an Enterprise tier with up to 99.999% uptime SLA, SSO SAML, SOC 2 compliance, analytics, merchandising, and personalization. Cloud pricing starts from $30/month.
- CategoryVector Databases & Retrieval
- Pricing ModelFreemium
- DeploymentCloud, Self-hosted
- PlatformsWeb
Meilisearch's Core Features
Lightning-fast search-as-you-type under 50ms
Full-text search with geosearch and faceting
Semantic and hybrid search
Multimodal search across images, video, and audio
Vector storage for similarity and RAG
Federated search across data sources
Filtering, faceting, sorting, and analytics
SDKs for 20+ languages and frameworks
How to use Meilisearch?
Choose deployment: Self-host the open-source engine or start a Cloud trial.
Index your data: Add your documents using smart presets with zero configuration.
Integrate: Use an official SDK for your language or framework.
Configure relevancy: Set up filtering, faceting, and semantic or hybrid search.
Ship search: Add fast, relevant search to your app or website.
Meilisearch's Use Cases
- Site and app search
- AI retrieval and RAG
- Hybrid search experiences
- E-commerce filtering
- Location-based search
