Meilisearch logo

Meilisearch

Freemium
Visit

Open-source search and AI retrieval for websites and apps

What is Meilisearch?

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.

What can Meilisearch do?

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.

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.

Frequently Asked Questions

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

Meilisearch Traffic Analysis

Traffic data is for reference only.

Domain Rating
76

Meilisearch Alternatives

Qdrant logo

Qdrant

qdrant.io

Qdrant is an open-source vector search engine for AI retrieval systems.

Dashworks logo

Dashworks

dashworks.ai

AI assistant for workplace questions with unified search across company apps, docs, websites, and Slack

BA Insight logo

BA Insight

bainsight.com

Connect enterprise repositories for permission-aware search, enriched content, and retrieval that fits an existing AI or search stack.

GoSearch logo

GoSearch

gosearch.ai

Agentic enterprise search across connected apps with AI assistants, workflows, and admin controls.

Reversely.ai logo

Reversely.ai

reversely.ai

Reverse image search for similar pictures, duplicates and source-page matches.

Ducky logo

Ducky

ducky.ai

Ducky is a fully managed AI search and retrieval platform for developers building RAG-powered product features across text, images, PDFs, and structured data.