# Meilisearch Documentation ## Getting started ### Introduction - [Welcome to Meilisearch](https://www.meilisearch.com/docs/getting_started/overview.md): Meilisearch indexes your content and makes it accessible to both humans and AI through search, conversational interfaces, and APIs. - [First Project](https://www.meilisearch.com/docs/getting_started/first_project.md): Learn how to create your first Meilisearch Cloud project. - [Features](https://www.meilisearch.com/docs/getting_started/features.md): Explore all Meilisearch capabilities - index your content and make it accessible to humans and AI through search, conversational interfaces, and APIs. - [Glossary](https://www.meilisearch.com/docs/getting_started/glossary.md): Definitions of key Meilisearch concepts and search terminology including full-text search, semantic search, hybrid search, and more. - [Good practices](https://www.meilisearch.com/docs/getting_started/good_practices.md): Best practices for formatting documents, chunking content, batching requests, and optimizing indexing performance in Meilisearch. ### Tools - [Meilisearch CLI quick start](https://www.meilisearch.com/docs/getting_started/cli.md): Get started with Meilisearch from your terminal using the meili command line tool in 5 minutes. - [Postman collection for Meilisearch](https://www.meilisearch.com/docs/getting_started/integrations/postman.md): Import Meilisearch's OpenAPI specification into Postman to test and debug the API with a ready-made collection. - [Meilisearch Importer](https://www.meilisearch.com/docs/getting_started/integrations/meilisearch_importer.md): Efficiently import large CSV, NDJSON, or JSON datasets into Meilisearch using the official CLI tool. ### Back-end SDKs - [JavaScript quick start](https://www.meilisearch.com/docs/getting_started/sdks/javascript.md): Get started with Meilisearch using the JavaScript SDK in 5 minutes. - [Python quick start](https://www.meilisearch.com/docs/getting_started/sdks/python.md): Get started with Meilisearch using the Python SDK in 5 minutes. - [PHP quick start](https://www.meilisearch.com/docs/getting_started/sdks/php.md): Get started with Meilisearch using the PHP SDK in 5 minutes. - [Ruby quick start](https://www.meilisearch.com/docs/getting_started/sdks/ruby.md): Get started with Meilisearch using the Ruby SDK in 5 minutes. - [Go quick start](https://www.meilisearch.com/docs/getting_started/sdks/go.md): Get started with Meilisearch using the Go SDK in 5 minutes. - [Rust quick start](https://www.meilisearch.com/docs/getting_started/sdks/rust.md): Get started with Meilisearch using the Rust SDK in 5 minutes. - [Java quick start](https://www.meilisearch.com/docs/getting_started/sdks/java.md): Get started with Meilisearch using the Java SDK in 5 minutes. - [.NET quick start](https://www.meilisearch.com/docs/getting_started/sdks/dotnet.md): Get started with Meilisearch using the .NET SDK in 5 minutes. - [Swift quick start](https://www.meilisearch.com/docs/getting_started/sdks/swift.md): Get started with Meilisearch using the Swift SDK in 5 minutes. - [Dart quick start](https://www.meilisearch.com/docs/getting_started/sdks/dart.md): Get started with Meilisearch using the Dart SDK in 5 minutes. ### Frontend SDKs - [Instant-meilisearch](https://www.meilisearch.com/docs/getting_started/instant_meilisearch/javascript.md): Build search interfaces with instant-meilisearch and InstantSearch. - [React quick start](https://www.meilisearch.com/docs/getting_started/instant_meilisearch/react.md): Integrate a search-as-you-type experience into your React app. - [Vue quick start](https://www.meilisearch.com/docs/getting_started/instant_meilisearch/vue.md): Integrate a search-as-you-type experience into your Vue app. - [Integrate a relevant search bar to your documentation](https://www.meilisearch.com/docs/getting_started/instant_meilisearch/docsearch.md): Use Meilisearch to index content in a text-heavy website. Covers installing Meilisearch, configuring a text scraper, and creating a simple front end. ### Framework integrations - [Laravel Scout guide](https://www.meilisearch.com/docs/getting_started/frameworks/laravel.md): Learn how to use Meilisearch with Laravel Scout. - [Strapi v4 guide](https://www.meilisearch.com/docs/getting_started/frameworks/strapi.md): Learn how to use Meilisearch with Strapi v4. - [Ruby on Rails quick start](https://www.meilisearch.com/docs/getting_started/frameworks/rails.md): Integrate Meilisearch into your Ruby on Rails app. - [Symfony](https://www.meilisearch.com/docs/getting_started/frameworks/symfony.md): Integrate Meilisearch with Symfony using the official bundle. ### Integrations - [Model Context Protocol (MCP)](https://www.meilisearch.com/docs/getting_started/integrations/mcp.md): Search Meilisearch indexes from AI agents and LLM clients using the built-in MCP server. - [AI SDK](https://www.meilisearch.com/docs/getting_started/integrations/ai_sdk.md): Give AI agents a Meilisearch search tool using the Vercel AI SDK and @meilisearch/ai-sdk. - [LangChain integration](https://www.meilisearch.com/docs/getting_started/integrations/langchain.md): Use Meilisearch as a LangChain vector store for semantic search with OpenAI embeddings. - [Firebase](https://www.meilisearch.com/docs/getting_started/integrations/firebase.md): Sync your Firestore documents to Meilisearch using the official Firebase extension. - [Integrate Meilisearch Cloud with Vercel](https://www.meilisearch.com/docs/getting_started/integrations/vercel.md): Link Meilisearch Cloud to a Vercel Project. #### Kestra - [Sync data to Meilisearch with Kestra](https://www.meilisearch.com/docs/getting_started/integrations/kestra/overview.md): Keep Meilisearch in sync with your data sources using declarative Kestra workflows. - [Connect PostgreSQL to Meilisearch with Kestra](https://www.meilisearch.com/docs/getting_started/integrations/kestra/postgresql.md): Backfill and incrementally sync a PostgreSQL table into Meilisearch with Kestra. - [Connect MongoDB to Meilisearch with Kestra](https://www.meilisearch.com/docs/getting_started/integrations/kestra/mongodb.md): Backfill and incrementally sync a MongoDB collection into Meilisearch with Kestra. - [Connect Amazon S3 to Meilisearch with Kestra](https://www.meilisearch.com/docs/getting_started/integrations/kestra/amazon_s3.md): Backfill and event-driven sync of Amazon S3 objects into Meilisearch with Kestra. - [Connect Kafka to Meilisearch with Kestra](https://www.meilisearch.com/docs/getting_started/integrations/kestra/kafka.md): Real-time indexing of a Kafka topic into Meilisearch with Kestra. - [Connect a REST API to Meilisearch with Kestra](https://www.meilisearch.com/docs/getting_started/integrations/kestra/rest_api.md): Backfill and incrementally sync a REST API into Meilisearch with Kestra. - [Migrate Elasticsearch to Meilisearch with Kestra](https://www.meilisearch.com/docs/getting_started/integrations/kestra/elasticsearch.md): Migrate an existing Elasticsearch index into Meilisearch with a safe, re-runnable Kestra workflow. - [Migrate OpenSearch to Meilisearch with Kestra](https://www.meilisearch.com/docs/getting_started/integrations/kestra/opensearch.md): Migrate an existing OpenSearch index into Meilisearch with a safe, re-runnable Kestra workflow. - [Connect RabbitMQ to Meilisearch with Kestra](https://www.meilisearch.com/docs/getting_started/integrations/kestra/rabbitmq.md): Real-time indexing of a RabbitMQ (AMQP) queue into Meilisearch with Kestra. - [Connect Shopify to Meilisearch with Kestra](https://www.meilisearch.com/docs/getting_started/integrations/kestra/shopify.md): Backfill and incrementally sync a Shopify product catalog into Meilisearch with Kestra. - [Capabilities (167 pages)](https://www.meilisearch.com/docs/_llms/capabilities.txt): Documentation for Capabilities. - [Reference (150 pages)](https://www.meilisearch.com/docs/_llms/reference.txt): Documentation for Reference. ## Resources ### Comparisons - [Comparison to alternatives](https://www.meilisearch.com/docs/resources/comparisons/alternatives.md): Deciding on a search engine for your project is an important but difficult task. This article describes the differences between Meilisearch and other search engines. - [Meilisearch vs Elasticsearch](https://www.meilisearch.com/docs/resources/comparisons/elasticsearch.md): Compare Meilisearch and Elasticsearch to find the right search solution for your project. Learn key differences in setup, performance, and use cases. - [Meilisearch vs Algolia](https://www.meilisearch.com/docs/resources/comparisons/algolia.md): Compare Meilisearch and Algolia to find the right search-as-a-service solution. Learn about pricing, features, and when each makes sense. - [Meilisearch vs Typesense](https://www.meilisearch.com/docs/resources/comparisons/typesense.md): Compare Meilisearch and Typesense, two open-source search engines focused on speed and developer experience. Learn key differences and when to choose each. - [Meilisearch vs PostgreSQL search](https://www.meilisearch.com/docs/resources/comparisons/postgresql.md): Compare Meilisearch with PostgreSQL's built-in full-text search and the pgvector extension. Learn when a dedicated search engine outperforms database search. - [Meilisearch vs Pinecone](https://www.meilisearch.com/docs/resources/comparisons/pinecone.md): Compare Meilisearch and Pinecone for AI-powered search. Learn when a vector database vs a hybrid search engine makes sense. - [Meilisearch vs Qdrant](https://www.meilisearch.com/docs/resources/comparisons/qdrant.md): Compare Meilisearch and Qdrant for semantic search. Learn the differences between hybrid search engines and vector databases. - [Meilisearch vs OpenSearch](https://www.meilisearch.com/docs/resources/comparisons/opensearch.md): Compare Meilisearch and OpenSearch for search and analytics. Learn the differences and when each solution makes sense. - [Meilisearch vs MongoDB Atlas Search](https://www.meilisearch.com/docs/resources/comparisons/mongodb.md): Compare Meilisearch with MongoDB Atlas Search. Learn when a dedicated search engine outperforms database-integrated search. ### Migration - [Migrating to Meilisearch Cloud](https://www.meilisearch.com/docs/resources/migration/migrating_cloud.md): Meilisearch Cloud is the recommended way of using Meilisearch. This guide walks you through migrating Meilisearch from a self-hosted installation to Meilisearch Cloud. - [Update to the latest Meilisearch version](https://www.meilisearch.com/docs/resources/migration/updating.md): Learn how to migrate to the latest Meilisearch release. - [Migrating from Algolia to Meilisearch](https://www.meilisearch.com/docs/resources/migration/algolia_migration.md): This guide will take you step-by-step through the creation of a script to upload data indexed by Algolia to Meilisearch. - [Migrating from Elasticsearch to Meilisearch](https://www.meilisearch.com/docs/resources/migration/elasticsearch_migration.md): A step-by-step guide to exporting data from Elasticsearch and importing it into Meilisearch, with a comparison of settings, queries, and API methods. - [Migrating from Qdrant to Meilisearch](https://www.meilisearch.com/docs/resources/migration/qdrant_migration.md): A step-by-step guide to exporting data from Qdrant and importing it into Meilisearch, with a comparison of settings, queries, and API methods. - [Migrating from MongoDB Atlas Search to Meilisearch](https://www.meilisearch.com/docs/resources/migration/mongodb_migration.md): A step-by-step guide to exporting data from MongoDB Atlas Search and importing it into Meilisearch, with a comparison of settings, queries, and API methods. - [Migrating from PostgreSQL full-text search to Meilisearch](https://www.meilisearch.com/docs/resources/migration/postgresql_migration.md): A step-by-step guide to moving search from PostgreSQL (tsvector/tsquery and pgvector) to Meilisearch, with a comparison of settings, queries, and search features. - [Migrating from Supabase full-text search to Meilisearch](https://www.meilisearch.com/docs/resources/migration/supabase_migration.md): A step-by-step guide to moving search from Supabase (tsvector/tsquery and pgvector via Supabase Vector) to Meilisearch, with a comparison of settings, queries, and search features. ### Self-hosting - [Self-hosting Meilisearch](https://www.meilisearch.com/docs/resources/self_hosting/overview.md): Learn about self-hosting Meilisearch, from installation to production deployment, security, and backups. - [Enterprise and Community editions](https://www.meilisearch.com/docs/resources/self_hosting/enterprise_edition.md): Self-hosted users can choose between the Community Edition and the Enterprise Edition. The Community edition is free under the MIT license, while Enterprise offers advanced features under a BUSL license. #### Getting started - [Getting started with self-hosted Meilisearch](https://www.meilisearch.com/docs/resources/self_hosting/getting_started/quick_start.md): Learn how to install Meilisearch, index a dataset, and perform your first search. - [Install Meilisearch locally](https://www.meilisearch.com/docs/resources/self_hosting/getting_started/install_locally.md): Install Meilisearch locally on Linux, macOS, or Windows using cURL, Docker, Homebrew, APT, or from source. - [Using Meilisearch with Docker](https://www.meilisearch.com/docs/resources/self_hosting/getting_started/docker.md): Learn how to use Docker to download and run Meilisearch, configure its behavior, and manage your Meilisearch data. - [Search preview](https://www.meilisearch.com/docs/resources/self_hosting/getting_started/search_preview.md): Meilisearch comes with a built-in search interface for quick testing during development. #### Configuration - [Configure Meilisearch at launch](https://www.meilisearch.com/docs/resources/self_hosting/configuration/overview.md): Configure Meilisearch at launch with command-line options, environment variables, or a configuration file. - [Configuration reference](https://www.meilisearch.com/docs/resources/self_hosting/configuration/reference.md): Complete reference of all Meilisearch instance configuration options, environment variables, and CLI flags. #### Deployment - [Deploying Meilisearch](https://www.meilisearch.com/docs/resources/self_hosting/deployment/overview.md): Choose a deployment strategy for running Meilisearch in production, from single-server setups to cloud provider deployments. - [Running Meilisearch in production](https://www.meilisearch.com/docs/resources/self_hosting/deployment/running_production.md): Deploy Meilisearch in a Digital Ocean droplet. Covers installation, server configuration, and securing your instance. - [Deploy on AWS](https://www.meilisearch.com/docs/resources/self_hosting/deployment/aws.md): Deploy Meilisearch on an AWS EC2 instance. Covers installation, server configuration, and securing your instance. - [Deploy on Google Cloud](https://www.meilisearch.com/docs/resources/self_hosting/deployment/gcp.md): Deploy Meilisearch on a Google Cloud Compute Engine VM. Covers installation, server configuration, and securing your instance. - [Deploy on DigitalOcean](https://www.meilisearch.com/docs/resources/self_hosting/deployment/digitalocean.md): Deploy Meilisearch on a DigitalOcean droplet. Covers installation, server configuration, and securing your instance. #### Security - [Securing self-hosted Meilisearch](https://www.meilisearch.com/docs/resources/self_hosting/security/overview.md): Understand the Meilisearch security model, from master keys to API keys, and learn how to protect your instance. - [Master key and API keys](https://www.meilisearch.com/docs/resources/self_hosting/security/master_api_keys.md): Understand the differences between master key and API keys, and how to manage them in self-hosted Meilisearch. - [Securing your project](https://www.meilisearch.com/docs/resources/self_hosting/security/basic_security.md): This tutorial will show you how to secure your Meilisearch project. - [Resetting the master key](https://www.meilisearch.com/docs/resources/self_hosting/security/resetting_master_key.md): This guide shows you how to reset the master key in Meilisearch Cloud and self-hosted instances. - [Protected and unprotected Meilisearch projects](https://www.meilisearch.com/docs/resources/self_hosting/security/protected_unprotected.md): This article explains the differences between protected and unprotected Meilisearch projects and instances. - [Using HTTP/2 and SSL with Meilisearch](https://www.meilisearch.com/docs/resources/self_hosting/security/http2_ssl.md): Learn how to configure a server to use Meilisearch with HTTP/2. #### Data backup - [Backing up Meilisearch data](https://www.meilisearch.com/docs/resources/self_hosting/data_backup/overview.md): Meilisearch offers two backup methods: snapshots for periodic safeguards and dumps for version migration. Learn when to use each. - [Exporting and importing dumps](https://www.meilisearch.com/docs/resources/self_hosting/data_backup/dumps.md): Dumps are data backups containing all data related to a Meilisearch instance. They are often useful when migrating to a new Meilisearch release. - [Exporting and using Snapshots](https://www.meilisearch.com/docs/resources/self_hosting/data_backup/snapshots.md): Snapshots are exact copies of Meilisearch databases. They are often useful for periodical backups. #### Sharding and replication - [Replication and sharding](https://www.meilisearch.com/docs/resources/self_hosting/sharding/overview.md): Scale Meilisearch horizontally by distributing documents across multiple instances with sharding, and ensure high availability with replication. - [Set up a sharded cluster](https://www.meilisearch.com/docs/resources/self_hosting/sharding/setup_sharded_cluster.md): Configure Meilisearch instances into a sharded cluster with replication for horizontal scaling and high availability. - [Configure replication for high availability](https://www.meilisearch.com/docs/resources/self_hosting/sharding/configure_replication.md): Set up replicated shards across multiple Meilisearch instances to ensure high availability and distribute search load. - [Manage the network](https://www.meilisearch.com/docs/resources/self_hosting/sharding/manage_network.md): Add remotes, update shard assignments, and manage your Meilisearch network topology dynamically. Includes rebalancing behavior and validation rules. #### Advanced - [Impact of RAM and multi-threading on indexing performance](https://www.meilisearch.com/docs/resources/self_hosting/performance/ram_multithreading.md): Adding new documents to a Meilisearch index is a multi-threaded and memory-intensive operation. Consult this article for more information on indexing performance. - [Using task webhooks](https://www.meilisearch.com/docs/resources/self_hosting/webhooks.md): Learn how to use webhooks to react to changes in your Meilisearch database. - [Computing Hugging Face embeddings with the GPU](https://www.meilisearch.com/docs/resources/self_hosting/huggingface_gpu.md): This guide for experienced users shows you how to compile a Meilisearch binary that generates Hugging Face embeddings with an Nvidia GPU. ### Demos - [Demos](https://www.meilisearch.com/docs/resources/demos/overview.md): Explore interactive demos showcasing Meilisearch capabilities - [Agentic movie search](https://www.meilisearch.com/docs/resources/demos/agentic_movie_search.md): Movie recommendation agent built with @meilisearch/ai-sdk and the Vercel AI SDK - [Talk with Lex](https://www.meilisearch.com/docs/resources/demos/talk_with_lex.md): Find any moment of the Lex Fridman Podcast and chat with every transcript, using hybrid search and the chats API - [Judilibre legal search](https://www.meilisearch.com/docs/resources/demos/judilibre.md): Search French codes and Cour de cassation case law with instant search, hybrid search, and a conversational assistant - [Paperscope](https://www.meilisearch.com/docs/resources/demos/paperscope.md): Search, explore, and chat with 6,000 AI research papers using hybrid search, similar documents, and conversational search - [Where to Watch](https://www.meilisearch.com/docs/resources/demos/where_to_watch.md): Movie discovery app showcasing hybrid search, recommendations, and multi-lingual semantic search - [Home Booking](https://www.meilisearch.com/docs/resources/demos/home_booking.md): Airbnb-style home booking demo with conversational chat search and classic search powered by Meilisearch - [E-commerce](https://www.meilisearch.com/docs/resources/demos/ecommerce.md): Product search with facets, filtering, sorting, image search, and infinite scroll - [SaaS CRM Search](https://www.meilisearch.com/docs/resources/demos/saas.md): Multi-tenant CRM search with native data isolation per user - [Image Search](https://www.meilisearch.com/docs/resources/demos/flickr.md): Multimodal search across 100 million images with similar image discovery - [HackerSearch](https://www.meilisearch.com/docs/resources/demos/hackersearch.md): Every Hacker News story and comment indexed in Meilisearch, with faceted search and live sync - [Personalized Search](https://www.meilisearch.com/docs/resources/demos/personalized_search.md): Dynamic search personalization with real-time user context customization - [Search Playground](https://www.meilisearch.com/docs/resources/demos/playground.md): Compare search engines and embedders side by side - [Music Search](https://www.meilisearch.com/docs/resources/demos/music.md): Search 40 million songs with instant results - [Geosearch](https://www.meilisearch.com/docs/resources/demos/geosearch.md): Search cities on an interactive map with geo filtering and distance sorting - [MoMA Collection](https://www.meilisearch.com/docs/resources/demos/moma.md): Search the Museum of Modern Art's collection by artist, title, or medium - [Nobel Prizes](https://www.meilisearch.com/docs/resources/demos/nobel_prizes.md): Search Nobel Prize winners by name, category, or achievement - [Tenant Tokens](https://www.meilisearch.com/docs/resources/demos/tenant_tokens.md): Multi-tenant data isolation with server-side JWT filtering - [Typo Tolerance](https://www.meilisearch.com/docs/resources/demos/typo_tolerance.md): Experiment with different typo tolerance configurations - [RubyGems Finder](https://www.meilisearch.com/docs/resources/demos/rubygems.md): Search Ruby packages with popularity-based ranking - [Hydration](https://www.meilisearch.com/docs/resources/demos/hydration.md): Search results enriched with related data from other indexes using foreign keys - [Federated Search](https://www.meilisearch.com/docs/resources/demos/federated_search.md): Compare multi-search with and without result federation ### Under the hood - [Documents](https://www.meilisearch.com/docs/resources/internals/documents.md): Documents are the individual items that make up a dataset. Each document is an object composed of one or more fields. - [Indexes](https://www.meilisearch.com/docs/resources/internals/indexes.md): An index is a collection of documents, much like a table in MySQL or a collection in MongoDB. - [Primary key](https://www.meilisearch.com/docs/resources/internals/primary_key.md): The primary key is a special field that must be present in all documents indexed by Meilisearch. - [Storage](https://www.meilisearch.com/docs/resources/internals/storage.md): Learn about how Meilisearch stores and handles data in its LMDB storage engine. - [Data types](https://www.meilisearch.com/docs/resources/internals/datatypes.md): Learn about how Meilisearch handles different data types: strings, numerical values, booleans, arrays, and objects. - [Meilisearch ranking: a multi-criteria system beyond BM25](https://www.meilisearch.com/docs/resources/internals/ranking.md): How Meilisearch's multi-criteria ranking system works, why it produces better results than BM25 for user-facing search, and the technical trade-offs involved. - [Bucket sort](https://www.meilisearch.com/docs/resources/internals/bucket_sort.md): How Meilisearch uses bucket sort to rank search results through sequential ranking rules. - [Vector storage: DiskANN](https://www.meilisearch.com/docs/resources/internals/hannoy.md): How Meilisearch stores and searches vector embeddings using a disk-backed DiskANN approach, implemented through its Hannoy library for fast and scalable vector search. - [Concatenated and split queries](https://www.meilisearch.com/docs/resources/internals/concat.md): When a query contains several terms, Meilisearch looks for both individual terms and their combinations. - [Prefix search](https://www.meilisearch.com/docs/resources/internals/prefix.md): Prefix search is a core part of Meilisearch's design and allows users to receive results even when their query only contains a single letter. - [Typo tolerance vs fuzzy search: how Meilisearch handles misspellings](https://www.meilisearch.com/docs/resources/internals/typo_tolerance.md): How Meilisearch's typo tolerance works under the hood, why it differs from fuzzy search in Elasticsearch, Solr, MongoDB Atlas Search, Manticore, and PostgreSQL, and what the practical implications are. - [Language](https://www.meilisearch.com/docs/resources/help/language.md): Meilisearch is compatible with datasets in any language. It features optimized tokenization for many language families and supports multilingual semantic search through embedding models. ### Other resources - [Official SDKs and libraries](https://www.meilisearch.com/docs/resources/help/sdks.md): Meilisearch SDKs are available in many popular programming languages and frameworks. Consult this page for a full list of officially supported libraries. - [FAQ](https://www.meilisearch.com/docs/resources/help/faq.md): Common questions about Meilisearch features, setup, performance, and troubleshooting. - [Known limitations](https://www.meilisearch.com/docs/resources/help/known_limitations.md): Meilisearch has a number of known limitations. These are hard limits you cannot change and should take into account when designing your application. - [Experimental features overview](https://www.meilisearch.com/docs/resources/help/experimental_features_overview.md): This article covers how to activate and configure Meilisearch experimental features. - [Telemetry](https://www.meilisearch.com/docs/resources/help/telemetry.md): Meilisearch collects anonymized data from users in order to improve our product. Consult this page for an exhaustive list of collected data and instructions on how to deactivate telemetry. - [Versioning policy](https://www.meilisearch.com/docs/resources/help/versioning.md): This article describes the system behind Meilisearch's SDK and engine version numbering and compatibility. - [Contributing to our documentation](https://www.meilisearch.com/docs/resources/help/contributing_docs.md): The Meilisearch documentation is open-source. Learn how to help make it even better. - [Carbon footprint of Meilisearch Cloud regions](https://www.meilisearch.com/docs/resources/help/carbon_footprint.md): Understand the grid carbon intensity displayed next to Meilisearch Cloud regions, how it is calculated, and why it matters. - [Accessing previous docs versions](https://www.meilisearch.com/docs/resources/migration/previous_docs_version.md): Meilisearch documentation only covers the engine's latest stable release. Learn how to access the docs for previous Meilisearch versions. ## Changelog ### Changelog - [Changelog](https://www.meilisearch.com/docs/changelog.md): New features and improvements in Meilisearch - [Meilisearch v1.56 release notes](https://www.meilisearch.com/docs/changelog/v1.56.md): Released October 26, 2026 - [Meilisearch v1.55 release notes](https://www.meilisearch.com/docs/changelog/v1.55.md): Released October 12, 2026 - [Meilisearch v1.54 release notes](https://www.meilisearch.com/docs/changelog/v1.54.md): Released September 21, 2026 - [Meilisearch v1.53 release notes](https://www.meilisearch.com/docs/changelog/v1.53.md): Released August 10, 2026 - [Meilisearch v1.52 release notes](https://www.meilisearch.com/docs/changelog/v1.52.md): Released August 3, 2026 - [Meilisearch v1.51 release notes](https://www.meilisearch.com/docs/changelog/v1.51.md): Released July 27, 2026 - [Meilisearch v1.50 release notes](https://www.meilisearch.com/docs/changelog/v1.50.md): Released July 20, 2026 - [Meilisearch v1.49 release notes](https://www.meilisearch.com/docs/changelog/v1.49.md): Released July 6, 2026 - [Meilisearch v1.48 release notes](https://www.meilisearch.com/docs/changelog/v1.48.md): Released June 22, 2026 - [Meilisearch v1.47 release notes](https://www.meilisearch.com/docs/changelog/v1.47.md): Released June 15, 2026 - [Meilisearch v1.46 release notes](https://www.meilisearch.com/docs/changelog/v1.46.md): Released June 8, 2026 - [Meilisearch v1.45 release notes](https://www.meilisearch.com/docs/changelog/v1.45.md): Released May 26, 2026 - [Meilisearch v1.44 release notes](https://www.meilisearch.com/docs/changelog/v1.44.md): Released May 18, 2026 - [Meilisearch v1.43 release notes](https://www.meilisearch.com/docs/changelog/v1.43.md): Released May 4, 2026 - [Meilisearch v1.42 release notes](https://www.meilisearch.com/docs/changelog/v1.42.md): Released April 13, 2026 - [Meilisearch v1.41 release notes](https://www.meilisearch.com/docs/changelog/v1.41.md): Released March 30, 2026 - [Meilisearch v1.40 release notes](https://www.meilisearch.com/docs/changelog/v1.40.md): Released March 23, 2026 - [Meilisearch v1.39 release notes](https://www.meilisearch.com/docs/changelog/v1.39.md): Released March 16, 2026 - [Meilisearch v1.38 release notes](https://www.meilisearch.com/docs/changelog/v1.38.md): Released March 9, 2026 - [Meilisearch v1.37 release notes](https://www.meilisearch.com/docs/changelog/v1.37.md): Released March 2, 2026 - [Meilisearch v1.36 release notes](https://www.meilisearch.com/docs/changelog/v1.36.md): Released February 23, 2026 - [Meilisearch v1.35 release notes](https://www.meilisearch.com/docs/changelog/v1.35.md): Released February 2, 2026 - [Meilisearch v1.34 release notes](https://www.meilisearch.com/docs/changelog/v1.34.md): Released January 26, 2026 - [Meilisearch v1.33 release notes](https://www.meilisearch.com/docs/changelog/v1.33.md): Released January 19, 2026 - [Meilisearch v1.32 release notes](https://www.meilisearch.com/docs/changelog/v1.32.md): Released January 12, 2026 - [Meilisearch v1.31 release notes](https://www.meilisearch.com/docs/changelog/v1.31.md): Released December 22, 2025 - [Meilisearch v1.30 release notes](https://www.meilisearch.com/docs/changelog/v1.30.md): Released December 15, 2025 - [Meilisearch v1.29 release notes](https://www.meilisearch.com/docs/changelog/v1.29.md): Released December 8, 2025 - [Meilisearch v1.28 release notes](https://www.meilisearch.com/docs/changelog/v1.28.md): Released December 1, 2025 - [Meilisearch v1.27 release notes](https://www.meilisearch.com/docs/changelog/v1.27.md): Released November 24, 2025 - [Meilisearch v1.26 release notes](https://www.meilisearch.com/docs/changelog/v1.26.md): Released November 17, 2025 - [Meilisearch v1.25 release notes](https://www.meilisearch.com/docs/changelog/v1.25.md): Released November 10, 2025 - [Meilisearch v1.24 release notes](https://www.meilisearch.com/docs/changelog/v1.24.md): Released October 20, 2025 - [Meilisearch v1.23 release notes](https://www.meilisearch.com/docs/changelog/v1.23.md): Released October 13, 2025 - [Meilisearch v1.22 release notes](https://www.meilisearch.com/docs/changelog/v1.22.md): Released September 24, 2025 - [Meilisearch v1.21 release notes](https://www.meilisearch.com/docs/changelog/v1.21.md): Released September 15, 2025 - [Meilisearch v1.20 release notes](https://www.meilisearch.com/docs/changelog/v1.20.md): Released September 8, 2025 - [Meilisearch v1.19 release notes](https://www.meilisearch.com/docs/changelog/v1.19.md): Released August 25, 2025 - [Meilisearch v1.18 release notes](https://www.meilisearch.com/docs/changelog/v1.18.md): Released August 18, 2025 - [Meilisearch v1.17 release notes](https://www.meilisearch.com/docs/changelog/v1.17.md): Released August 12, 2025 - [Meilisearch v1.16 release notes](https://www.meilisearch.com/docs/changelog/v1.16.md): Released August 4, 2025 - [Meilisearch v1.15 release notes](https://www.meilisearch.com/docs/changelog/v1.15.md): Released June 9, 2025 - [Meilisearch v1.14 release notes](https://www.meilisearch.com/docs/changelog/v1.14.md): Released April 14, 2025 - [Meilisearch v1.13 release notes](https://www.meilisearch.com/docs/changelog/v1.13.md): Released February 17, 2025 - [Meilisearch v1.12 release notes](https://www.meilisearch.com/docs/changelog/v1.12.md): Released December 23, 2024 - [Meilisearch v1.11 release notes](https://www.meilisearch.com/docs/changelog/v1.11.md): Released October 28, 2024 - [Meilisearch v1.10 release notes](https://www.meilisearch.com/docs/changelog/v1.10.md): Released August 26, 2024 - [Meilisearch v1.9 release notes](https://www.meilisearch.com/docs/changelog/v1.9.md): Released July 1, 2024 - [Meilisearch v1.8 release notes](https://www.meilisearch.com/docs/changelog/v1.8.md): Released May 6, 2024 - [Meilisearch v1.7 release notes](https://www.meilisearch.com/docs/changelog/v1.7.md): Released March 11, 2024 - [Meilisearch v1.6 release notes](https://www.meilisearch.com/docs/changelog/v1.6.md): Released January 15, 2024 - [Meilisearch v1.5 release notes](https://www.meilisearch.com/docs/changelog/v1.5.md): Released November 20, 2023 - [Meilisearch v1.4 release notes](https://www.meilisearch.com/docs/changelog/v1.4.md): Released September 25, 2023 - [Meilisearch v1.3 release notes](https://www.meilisearch.com/docs/changelog/v1.3.md): Released July 31, 2023 - [Meilisearch v1.2 release notes](https://www.meilisearch.com/docs/changelog/v1.2.md): Released June 5, 2023 - [Meilisearch v1.1 release notes](https://www.meilisearch.com/docs/changelog/v1.1.md): Released April 3, 2023 - [Meilisearch v1.0 release notes](https://www.meilisearch.com/docs/changelog/v1.0.md): Released February 6, 2023 ## OpenAPI Specs - [meilisearch-openapi-mintlify](/docs/assets/release-assets/meilisearch-openapi-mintlify.json) - [.code-samples.meilisearch](/docs/.code-samples.meilisearch.yaml) - [books](/docs/assets/datasets/books.json) - [crm-chats](/docs/assets/datasets/crm-chats.json) - [crm-profiles](/docs/assets/datasets/crm-profiles.json) - [crm-tickets](/docs/assets/datasets/crm-tickets.json) - [kitchenware](/docs/assets/datasets/kitchenware.json) - [movies](/docs/assets/datasets/movies.json) - [restaurants](/docs/assets/datasets/restaurants.json) - [stories](/docs/assets/datasets/stories.json) - [videogames](/docs/assets/datasets/videogames.json) - [meilisearch-openapi](/docs/assets/release-assets/meilisearch-openapi.json) - [docs-scraper.config](/docs/docs-scraper.config.json) - [package-lock](/docs/package-lock.json) - [package](/docs/package.json) > The links below point to documentation indexes. Follow each `/_llms/` index recursively until you reach documentation pages. ## Indexes - [Capabilities (167 pages)](https://www.meilisearch.com/docs/_llms/capabilities.txt): Documentation for Capabilities. - [Reference (150 pages)](https://www.meilisearch.com/docs/_llms/reference.txt): Documentation for Reference. This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.