What it is

Meilisearch is an open-source search engine built in Rust that delivers fast, relevant search results for applications and websites. It operates as a standalone service with a RESTful HTTP API, designed to integrate directly into existing data pipelines without requiring major architectural changes.

It solves the problem of slow, inaccurate, or overly complex search implementations by providing a ready-to-use engine that handles full-text, typo-tolerant, faceted, and hybrid (semantic + keyword) search out of the box. This eliminates the need to build and maintain custom search infrastructure or rely on expensive third-party solutions.

Key capabilities

• Hybrid search combining semantic and full-text retrieval for improved relevance
• Sub-50ms response times for real-time, search-as-you-type user experiences
• Typo tolerance with configurable sensitivity for misspelled queries
• Filtering and faceted search with support for multi-value attributes and ranges
• Geosearch with distance-based filtering and sorting using geographic coordinates
• Synonym support to expand query coverage and improve recall
• Multi-tenancy via tenant tokens for secure, isolated search across users or organizations

Who uses it and how

• Ecommerce platforms use faceted search to let users filter products by price, brand, rating, and availability
• Streaming services like Where2Watch use hybrid search to match user intent with movie titles and platforms
• SaaS applications implement multi-tenant search for CRM data, isolating contacts and deals per user
• Image repositories like Flickr deploy semantic search to find visually or contextually similar images
• Booking sites use natural language queries to match holiday rental descriptions with user intent

Getting started

Meilisearch is available as a Docker image (getmeili/meilisearch), via Homebrew (brew install meilisearch), and as a downloadable binary. It runs standalone with optional configuration via environment variables or a config file. Meilisearch Cloud is also offered as a managed hosted option.

When to use it — and when not to

Meilisearch replaces paid search services like Algolia or Elasticsearch for applications needing fast, accurate search without complex tuning. It requires self-hosting infrastructure including disk storage for indexes and memory for performance; no external database is needed. It does not include built-in authentication, so security must be implemented at the application layer. Its experimental vector search feature lacks the maturity of dedicated vector databases like Pinecone or Weaviate.