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Meilisearch

An open-source, lightning-fast, and typo-tolerant search engine with AI-enhanced hybrid search capabilities.

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Product Overview

What is Meilisearch?

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Meilisearch is a powerful and flexible full-text search engine designed to deliver ultra-fast, relevant search results with minimal configuration. It supports typo tolerance, instant search-as-you-type responses, and comprehensive language support. Meilisearch combines traditional keyword search with AI-powered vector search in a hybrid model, enabling semantic understanding and context-aware results. It offers a RESTful API, extensive customization options, and advanced features like faceted search, geo-search, and multi-tenancy, making it suitable for diverse applications from e-commerce to knowledge management.


Key Features

  • Blazing Fast Search

    Provides search results in under 50 milliseconds, enabling real-time search-as-you-type experiences.

  • Typo Tolerance and Fuzzy Matching

    Automatically handles misspellings and typing errors to return relevant results even with imperfect queries.

  • Hybrid AI-Powered Search

    Combines traditional full-text search with semantic vector search to enhance relevancy and understand user intent.

  • Highly Customizable Ranking and Filtering

    Allows custom ranking rules, faceted search, filtering, and geo-search to tailor search results to specific needs.

  • Comprehensive Language Support

    Optimized for multiple languages including Chinese, Japanese, Hebrew, and all Latin-based alphabets.

  • Secure and Scalable

    Supports API key management, multi-tenancy, and scalable deployment via Meilisearch Cloud or self-hosting.


Use Cases

  • E-commerce Search : Delivers fast, accurate product search and filtering to improve customer experience and increase conversions.
  • Knowledge Management : Enables researchers and employees to quickly find relevant documents and data within large knowledge bases.
  • Job Boards : Provides efficient and typo-tolerant job search capabilities, enhancing user satisfaction and application rates.
  • Content Management Systems : Improves content discoverability with customizable search relevance and faceted navigation.
  • Multi-Tenant SaaS Applications : Offers personalized search experiences for multiple users or clients within a single platform.

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