Meilisearch

Meilisearch is an open-source search and AI retrieval platform for websites and applications. It supports full-text, hybrid, and multimodal search, with Cloud and self-hosted deployment options.

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Platform overview

Meilisearch is an open-source search and AI retrieval platform for websites and applications. The site presents it as a flexible engine for teams that need fast keyword search, semantic retrieval, or a combination of both.

Its product pages describe a search stack that supports full-text search, hybrid search, and multimodal search, plus tools such as faceting, filtering, geosearch, vector storage, federated search, and search analytics. The platform is available through Meilisearch Cloud or as a self-hosted deployment.

Core capabilities

Full-text search

Supports search-as-you-type and typo tolerance so users can find results even when they misspell a query or only remember part of a term.

Hybrid search

Combines keyword search with semantic search, with a tunable semantic ratio and integrations with multiple embedding providers.

Multimodal search

Searches images, video, audio, and text in one unified index, with support for text-to-image search, visual similarity, and metadata filtering.

Advanced search controls

Provides filtering, faceting, sorting, geosearch, vector storage, federated search, and search analytics for building richer search interfaces.

Developer tooling

Offers SDKs and integrations across multiple languages and frameworks, along with documentation aimed at making the API straightforward to use.

Deployment options

Available on Meilisearch Cloud or self-hosted as an open-source engine, with a pricing structure that includes usage-based, resource-based, and enterprise options.

Common use cases

On-site search
Use typo-tolerant keyword search for product catalogs, content libraries, or internal apps where users expect instant results as they type.
Semantic discovery
Use hybrid search when people alternate between exact product names and more natural language queries, such as discovery and support flows.
Rich media search
Use multimodal search to query images, video, audio, and text together in media libraries or visual commerce workflows.
Retrieval workflows
Use vector storage and federated search for RAG-style retrieval or for searching across multiple data sources in one interface.
Search operations
Use analytics, personalization, and search rules on higher-tier plans when teams need more control over result quality and behavior.

Pros and Cons

Pros

Covers keyword, semantic, and multimodal search in one product.
Provides typo tolerance, search-as-you-type, faceting, filtering, and sorting for practical search interfaces.
Offers multiple SDKs and framework integrations for developers.
Can be used on Cloud or self-hosted, with enterprise and support options for larger teams.

Cons

Some advanced capabilities depend on AI embeddings and provider selection, which adds configuration decisions.
The source does not provide detailed limits for documents, search volume, or deployment sizing on the public product pages.

FAQ

What is Meilisearch used for?

Meilisearch is a search and AI retrieval platform that can be used for full-text search, hybrid search, and multimodal search. The site positions it as a developer-friendly engine that can be added to a website or application.

Does Meilisearch offer Cloud and self-hosted deployment?

The pricing page offers a Cloud plan with a 14-day free trial, an Enterprise plan with custom pricing, and a self-hosted option. The site also says self-hosting is free, but you manage infrastructure yourself.

How fast is Meilisearch?

The product pages describe search results in under 50 milliseconds for typical workloads on full-text and hybrid search pages, with semantic and multimodal capabilities available through AI embeddings.

Which programming languages and frameworks does Meilisearch support?

The site lists SDKs and integrations for JavaScript, PHP, Python, Ruby, Java, Go, .NET, Dart, Rust, Swift, plus React, Vue, Angular, Rails, and Symfony.

What support and enterprise options are available?

The pricing page says Cloud includes email support, while Enterprise adds dedicated Slack support, custom SLAs, and compliance-oriented features such as SSO SAML and SOC 2 Type II.

Quick Facts

Category: Search and AI retrieval platform
Product type: Open-source engine with Cloud and self-hosted deployment
Primary users: Developers, product teams, and organizations building search experiences
Source domain: meilisearch.com
Pricing model: Cloud, enterprise, and self-hosted options
Notable workflow: Add documents, index them, and search through full-text, hybrid, or multimodal queries