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    • Home
    • Getting started with Meilisearch Cloud
    • What is Meilisearch?
    • Documents
    • Indexes
    • Primary key
    • Search preview
    AI-powered search
    • Getting started with AI-powered search
    • Configure a REST embedder
    • Document template best practices
    • Image search with user-provided embeddings
    • Use AI-powered search with user-provided embeddings
    • Retrieve related search results
    • Which embedder should I choose?
    • Differences between full-text and AI-powered search
    Self-hosted
    • Getting started with self-hosted Meilisearch
    • Configure Meilisearch at launch
    • Install Meilisearch locally
    • Supported operating systems
    Analytics
    • Configure search analytics
    • Configure application monitoring metrics
    • Bind search analytics events to a user
    • Deactivate search analytics and monitoring
    • Analytics events endpoint
    Teams
    • Meilisearch Cloud teams
    Tasks and asynchronous operations
    • Working with tasks
    • Filtering tasks
    • Paginating tasks
    • Using task webhooks
    • Tasks and asynchronous operations
    Configuration
    • Configuring index settings
    • Configuring index settings with the Meilisearch API
    Filtering and sorting
    • Filter search results
    • Search with facets
    • Filter and sort by date
    • Sort search results
    • Geosearch
    • Filter expression reference
    Security and permissions
    • Securing your project
    • Generate tenant tokens with an official SDK
    • Generate tenant tokens without a Meilisearch SDK
    • Generate a tenant token without a library
    • Resetting the master key
    • Tenant token payload reference
    • Differences between the master key and API keys
    • Protected and unprotected projects
    • Multitenancy and tenant tokens
    Multi-search
    • Using multi-search to perform a federated search
    • Implement sharding with remote federated search
    • Differences between multi-search and federated search
    Update and migration
    • Migrating to Meilisearch Cloud
    • Updating Meilisearch
    • Migrating from Algolia
    • Accessing previous docs versions
    Data backup
    • Exporting and importing dumps
    • Exporting and using Snapshots
    • Snapshots and dumps
    Indexing
    • Indexing best practices
    • Impact of RAM and multi-threading on indexing performance
    • Tokenization
    Engine
    • Concatenated and split queries
    • Data types
    • Prefix search
    • Storage
    Relevancy
    • Relevancy
    • Built-in ranking rules
    • Custom ranking rules
    • Ranking score
    • Attribute ranking order
    • Typo tolerance settings
    • Typo tolerance calculations
    • Distinct attribute
    • Displayed and searchable attributes
    • Synonyms
    Resources
    • Known limitations
    • Experimental features overview
    • FAQ
    • Official SDKs and libraries
    • Comparison to alternatives
    • Telemetry
    • Language
    • Versioning policy
    • Contributing to our documentation
    Getting started

    Documentation

    Discover our guides, examples, and APIs to build fast and relevant search experiences with Meilisearch.

    ​
    Overview

    What is Meilisearch?

    Get an overview of Meilisearch features and philosophy.

    Comparisons

    See how Meilisearch compares to alternatives.

    SDKs

    Use Meilisearch with your favorite language and framework.

    ​
    Use case demos

    Take at look at example applications built with Meilisearch.

    App Search

    Search through multiple Eloquent models with Laravel.

    E-commerce

    Browse millions of products in our Nuxt 3 e-commerce demo app.

    Media

    Search across the TMDB movies databases using Next.js.

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