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Meilisearch

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Open-source, developer-friendly search engine and AI retrieval platform for lightning-fast full-text, hybrid, multimodal, and conversational search in websites and applications.

Ajouté :13 juil. 2026
Visiteurs mensuels :
200.1K
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open-sourcesearch engineAI retrievalRAGfull-text searchhybrid search

Informations sur l’outil

Qu'est-ce que Meilisearch ?

Meilisearch is an open-source, developer-friendly search engine and AI retrieval platform that provides a unified platform for teams to build, scale, and unify lightning-fast search and AI-powered retrieval. It includes full-text, semantic, hybrid, vector, multimodal, and RAG capabilities for apps and websites.

Fonctionnalités principales

  • Full-text search

    Lightning-fast keyword search with automatic typo tolerance and relevance ranking.

  • Hybrid search

    Combine keyword precision with semantic understanding for better results.

  • RAG infrastructure

    The search foundation for AI applications with hybrid retrieval and LangChain support.

  • Faceted search

    Dynamic filters and refinements for exploring large datasets.

  • Federated search

    Query multiple indexes simultaneously with unified, ranked results.

  • Multimodal search

    Search across images, video, and audio alongside text with AI embeddings.

  • Personalization

    Tailor search results based on user preferences and behavior.

  • Conversational search

    Natural language queries with AI-generated answers grounded in your data.

  • Vector storage

    Store and retrieve vectors for advanced search, similarity queries, or RAG applications.

  • Geosearch

    Deliver location-specific results by allowing users to filter and sort results based on location.

  • Search analytics

    Gain actionable insights and make data-driven decisions with comprehensive search analytics.

  • Lightning-fast search-as-you-type

    Search-as-you-type returns answers in less than 50 milliseconds.

Cas d'utilisation

  • #1

    Site search

    Add fast, relevant search to websites across private or public data.

  • #2

    App search

    Integrate search into applications for improved user experience and relevancy.

  • #3

    Knowledge base

    Enable search over knowledge bases for quick information retrieval.

  • #4

    RAG and AI applications

    Serve as the search foundation for AI applications with hybrid retrieval and LangChain support.

  • #5

    Retail and e-commerce search

    Support product discovery and large datasets with faceted, hybrid, and personalized search.

  • #6

    Media and SaaS search

    Power search experiences for media, SaaS, enterprise, and startup applications.

Idéal pour :DevelopersStartupsEnterprisesSaaS companiesRetail teamsMedia organizationsTeams building AI applications and RAG systems

Plans tarifaires

Open-source search engine; Meilisearch Cloud available with free trial option referenced on product pages.

Alternatives

Foire aux questions

What is Meilisearch?
Meilisearch is an open-source, developer-friendly search engine and AI retrieval platform for lightning-fast full-text, hybrid, multimodal, and conversational search in websites and applications. It provides a unified platform to build, scale, and unify search and AI-powered retrieval including full-text, semantic, hybrid, vector, multimodal, and RAG capabilities.
Is Meilisearch open source?
Yes, Meilisearch is an open-source search engine. Meilisearch Cloud is also available with a free trial option referenced on product pages.
What are the core search features of Meilisearch?
Meilisearch offers full-text search with automatic typo tolerance and relevance ranking, hybrid search, RAG infrastructure with LangChain support, faceted search, federated search, multimodal search across images, video, and audio, personalization, conversational search, vector storage, geosearch, search analytics, and lightning-fast search-as-you-type that returns answers in less than 50 milliseconds.
Who is Meilisearch designed for?
Meilisearch is for developers, startups, enterprises, SaaS companies, retail teams, media organizations, and teams building AI applications and RAG systems.
What platforms and integrations does Meilisearch support?
Meilisearch supports Cloud, Self-hosted, Web, and Applications. Integrations include JavaScript, PHP, Python, Ruby, Java, Go, .NET, Dart, Rust, Swift, Instant Meilisearch, React, Vue, Angular, Rails, Symfony, and LangChain.
What use cases does Meilisearch support?
Meilisearch supports site search, app search, knowledge base search, RAG and AI applications, retail and e-commerce search, and media and SaaS search.

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Informations sur l’outil

Modèle tarifaireOpen Source
CatégorieAnalyse de données
Tags
open-sourcesearch engineAI retrievalRAGfull-text searchhybrid search
LangueAnglais
Dernière mise à jour16 juil. 2026