# Meilisearch Documentation

## Docs

- [Meilisearch & Model Context Protocol - Talk to Meilisearch with Claude desktop](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/ai/mcp.md): This guide walks Meilisearch users through setting up the MCP server with Claude desktop to talk to the Meilisearch API
- [Computing Hugging Face embeddings with the GPU](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/computing_hugging_face_embeddings_gpu.md): This guide for experienced users shows you how to compile a Meilisearch binary that generates Hugging Face embeddings with an Nvidia GPU.
- [Using Meilisearch with Docker](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/docker.md): Learn how to use Docker to download and run Meilisearch, configure its behavior, and manage your Meilisearch data.
- [Semantic Search with Cloudflare Worker AI Embeddings](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/embedders/cloudflare.md): This guide will walk you through the process of setting up Meilisearch with Cloudflare Worker AI embeddings to enable semantic search capabilities.
- [Semantic Search with Cohere Embeddings](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/embedders/cohere.md): This guide will walk you through the process of setting up Meilisearch with Cohere embeddings to enable semantic search capabilities.
- [Semantic Search with Gemini Embeddings](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/embedders/gemini.md): This guide will walk you through the process of setting up Meilisearch with Gemini embeddings to enable semantic search capabilities.
- [Semantic Search with Hugging Face Inference Endpoints](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/embedders/huggingface.md): This guide will walk you through the process of setting up Meilisearch with Hugging Face Inference Endpoints.
- [Semantic Search with Mistral Embeddings](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/embedders/mistral.md): This guide will walk you through the process of setting up Meilisearch with Mistral embeddings to enable semantic search capabilities.
- [Semantic Search with OpenAI Embeddings](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/embedders/openai.md): This guide will walk you through the process of setting up Meilisearch with OpenAI embeddings to enable semantic search capabilities.
- [Semantic Search with Voyage AI Embeddings](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/embedders/voyage.md): This guide will walk you through the process of setting up Meilisearch with Voyage AI embeddings to enable semantic search capabilities.
- [Front-end integration](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/front_end/front_end_integration.md): Create a simple front-end interface to search through your dataset after following Meilisearch's quick start.
- [Search result pagination](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/front_end/pagination.md): Follow this guide to learn more about the two pagination types available in Meilisearch.
- [React quick start](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/front_end/react_quick_start.md): Integrate a search-as-you-type experience into your React app.
- [Integrate a relevant search bar to your documentation](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/front_end/search_bar_for_docs.md): Use Meilisearch to index content in a text-heavy website. Covers installing Meilisearch, configuring a text scraper, and creating a simple front end.
- [Vue3 quick start](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/front_end/vue_quick_start.md): Integrate a search-as-you-type experience into your Vue app.
- [Using HTTP/2 and SSL with Meilisearch](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/http2_ssl.md): Learn how to configure a server to use Meilisearch with HTTP/2.
- [Improve relevancy when working with large documents](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/improve_relevancy_large_documents.md): Use JavaScript with Node.js to split a single large document and configure Meilisearch with a distinct attribute to prevent duplicated results.
- [Implementing semantic search with LangChain](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/langchain.md): This guide shows you how to implement semantic search using LangChain and similarity search.
- [Laravel multitenancy guide](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/laravel_multitenancy.md): Learn how to implement secure, multitenant search in your Laravel applications.
- [Laravel Scout guide](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/laravel_scout.md): Learn how to use Meilisearch with Laravel Scout.
- [Node.js multitenancy guide](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/multitenancy_nodejs.md): Learn how to implement secure, multitenant search in your Node.js applications.
- [Postman collection for Meilisearch](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/postman_collection.md): This how-to guide explains how to use Postman when testing and debugging Meilisearch's API.
- [Ruby on Rails quick start](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/ruby_on_rails_quick_start.md): Integrate Meilisearch into your Ruby on Rails app.
- [Running Meilisearch in production](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/running_production.md): Deploy Meilisearch in a Digital Ocean droplet. Covers installation,  server configuration, and securing your instance.
- [Strapi v4 guide](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/strapi_v4.md): Learn how to use Meilisearch with Strapi v4.
- [Integrate Meilisearch Cloud with Vercel](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/guides/vercel.md): Link Meilisearch Cloud to a Vercel Project.
- [Documentation](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/home.md): Discover our guides, examples, and APIs to build fast and relevant search experiences with Meilisearch.
- [Which embedder should I choose?](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/ai_powered_search/choose_an_embedder.md): General guidance on how to choose the embedder best suited for projects using AI-powered search.
- [Configure a REST embedder](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/ai_powered_search/configure_rest_embedder.md): Create Meilisearch embedders using any provider with a REST API
- [Differences between full-text and AI-powered search](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/ai_powered_search/difference_full_text_ai_search.md): Meilisearch offers two types of search: full-text search and AI-powered search. This article explains their differences and intended use cases.
- [Document template best practices](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/ai_powered_search/document_template_best_practices.md): This guide shows you what to do and what to avoid when writing a `documentTemplate`.
- [Getting started with AI-powered search](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/ai_powered_search/getting_started_with_ai_search.md): AI-powered search uses LLMs to retrieve search results. This tutorial shows you how to configure an OpenAI embedder and perform your first search.
- [Image search with multimodal embeddings](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/ai_powered_search/image_search_with_multimodal_embeddings.md): This article shows you the main steps for performing multimodal text-to-image searches
- [Image search with user-provided embeddings](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/ai_powered_search/image_search_with_user_provided_embeddings.md): This article shows you the main steps for performing multimodal text-to-image searches
- [Retrieve related search results](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/ai_powered_search/retrieve_related_search_results.md): This guide shows you how to use the similar documents endpoint to create an AI-powered movie recommendation workflow.
- [Use AI-powered search with user-provided embeddings](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/ai_powered_search/search_with_user_provided_embeddings.md): This guide shows how to perform AI-powered searches with user-generated embeddings instead of relying on a third-party tool.
- [Analytics metrics reference](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/analytics/analytics_metrics_reference.md): This reference describes the metrics you can find in the Meilisearch Cloud analytics interface.
- [Bind search analytics events to a user](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/analytics/bind_events_user.md): This guide shows you how to manually differentiate users across search analytics using the X-MS-USER-ID HTTP header.
- [Configure Meilisearch Cloud analytics events](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/analytics/configure_analytics_events.md): By default, Meilisearch Cloud analytics tracks metrics such as number of users and latency. Follow this guide to track advanced events such as user conversion and click-through rates.
- [Analytics events endpoint](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/analytics/events_endpoint.md): Use `/events` to submit analytics events such as `click` and `conversion` to Meilisearch Cloud.
- [Migrate to the November 2025 Meilisearch Cloud analytics](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/analytics/migrate_analytics_monitoring.md): Follow this guide to ensure your Meilisearch Cloud analytics configuration is up to date after the November 2025 release.
- [Tasks and asynchronous operations](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/async/asynchronous_operations.md): Meilisearch uses a task queue to handle asynchronous operations. This in-depth guide explains tasks, their uses, and how to manage them using Meilisearch's API.
- [Filtering tasks](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/async/filtering_tasks.md): This guide shows you how to use query parameters to filter tasks and obtain a more readable list of asynchronous operations.
- [Managing the task database](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/async/paginating_tasks.md): Meilisearch uses a task queue to handle asynchronous operations. This document describes how to navigate long task queues with filters and pagination.
- [Using task webhooks](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/async/task_webhook.md): Learn how to use webhooks to react to changes in your Meilisearch database.
- [Working with tasks](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/async/working_with_tasks.md): In this tutorial, you'll use the Meilisearch API to add documents to an index, and then monitor its status.
- [Chat tooling reference](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/chat/chat_tooling_reference.md): An exhaustive reference of special chat tools supported by Meilisearch
- [What is conversational search?](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/chat/conversational_search.md): Conversational search allows people to make search queries using natural languages.
- [Configuring index settings](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/configuration/configuring_index_settings.md): This tutorial shows how to check and change an index setting using the Meilisearch Cloud interface.
- [Configuring index settings with the Meilisearch API](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/configuration/configuring_index_settings_api.md): This tutorial shows how to check and change an index setting using the Meilisearch API.
- [Exporting and importing dumps](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/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://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/data_backup/snapshots.md): Snapshots are exact copies of Meilisearch databases. They are often useful for periodical backups.
- [Snapshots and dumps](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/data_backup/snapshots_vs_dumps.md): Meilisearch offers two types of backups: snapshots and dumps. Snapshots are mainly intended as a safeguard, while dumps are useful when migrating Meilisearch.
- [Concatenated and split queries](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/engine/concat.md): When a query contains several terms, Meilisearch looks for both individual terms and their combinations.
- [Data types](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/engine/datatypes.md): Learn about how Meilisearch handles different data types: strings, numerical values, booleans, arrays, and objects.
- [Prefix search](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/engine/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.
- [Storage](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/engine/storage.md): Learn about how Meilisearch stores and handles data in its LMDB storage engine.
- [Filter expression reference](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/filtering_and_sorting/filter_expression_reference.md): The `filter` search parameter expects a filter expression. Filter expressions are made of attributes, values, and several operators.
- [Filter search results](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/filtering_and_sorting/filter_search_results.md): In this guide you will see how to configure and use Meilisearch filters in a hypothetical movie database.
- [Geosearch](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/filtering_and_sorting/geosearch.md): Filter and sort search results based on their geographic location.
- [Search with facets](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/filtering_and_sorting/search_with_facet_filters.md): Faceted search interfaces provide users with a quick way to narrow down search results by selecting categories relevant to their query.
- [Sort search results](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/filtering_and_sorting/sort_search_results.md): By default, Meilisearch sorts results according to their relevancy. You can alter this behavior so users can decide at search time results they want to see first.
- [Filtering and sorting by date](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/filtering_and_sorting/working_with_dates.md): Learn how to index documents with chronological data, and how to sort and filter search results based on time.
- [Getting started with Meilisearch Cloud](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/getting_started/cloud_quick_start.md): Learn how to create your first Meilisearch Cloud project.
- [Documents](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/getting_started/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://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/getting_started/indexes.md): An index is a collection of documents, much like a table in MySQL or a collection in MongoDB.
- [Primary key](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/getting_started/primary_key.md): The primary key is a special field that must be present in all documents indexed by Meilisearch.
- [Search preview](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/getting_started/search_preview.md): Meilisearch comes with a built-in search interface for quick testing during development.
- [What is Meilisearch?](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/getting_started/what_is_meilisearch.md): Meilisearch is a search engine featuring a blazing fast RESTful search API, typo tolerance, comprehensive language support, and much more.
- [Indexing best practices](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/indexing/indexing_best_practices.md): Tips to speed up your documents indexing process.
- [Handling multilingual datasets](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/indexing/multilingual-datasets.md): This guide covers indexing strategies, language-specific tokenizers, and best practices for aligning document and query tokenization.
- [Optimize indexing performance with batch statistics](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/indexing/optimize_indexing_performance.md): Learn how to analyze the `progressTrace` to identify and resolve indexing bottlenecks in Meilisearch.
- [Impact of RAM and multi-threading on indexing performance](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/indexing/ram_multithreading_performance.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.
- [Rename an index](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/indexing/rename_an_index.md): Use the PATCH endpoint of the /indexes route to rename an index
- [Tokenization](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/indexing/tokenization.md): Tokenization is the process of taking a sentence or phrase and splitting it into smaller units of language. It is a crucial procedure when indexing documents.
- [Implement sharding with remote federated search](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/multi_search/implement_sharding.md): This guide walks you through implementing a sharding strategy by activating the `/network` route, configuring the network object, and performing remote federated searches.
- [Differences between multi-search and federated search](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/multi_search/multi_search_vs_federated_search.md): This article defines multi-search and federated search and then describes the different uses of each.
- [Using multi-search to perform a federated search](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/multi_search/performing_federated_search.md): In this tutorial you will see how to perform a query searching multiple indexes at the same time to obtain a single list of results.
- [Performing personalized search queries](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/personalization/making_personalized_search_queries.md): Search personalization uses context about the person performing the search to provide results more relevant to that specific user. This article guides you through configuring and performing personalized search queries.
- [What is search personalization?](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/personalization/search_personalization.md): Search personalization lets you boost search results based on user profiles, making results tailored to their behavior.
- [Attribute ranking order](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/relevancy/attribute_ranking_order.md): This article explains how the order of attributes in the `searchableAttributes` array impacts search result relevancy.
- [Custom ranking rules](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/relevancy/custom_ranking_rules.md): Custom ranking rules promote certain documents over other search results that are otherwise equally relevant.
- [Displayed and searchable attributes](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/relevancy/displayed_searchable_attributes.md): Displayed and searchable attributes define what data Meilisearch returns after a successful query and which fields Meilisearch takes in account when searching. Knowing how to configure them can help improve your application's performance.
- [Distinct attribute](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/relevancy/distinct_attribute.md): Distinct attribute is a field that prevents Meilisearch from returning a set of several similar documents. Often used in ecommerce datasets where many documents are variations of the same item.
- [Built-in ranking rules](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/relevancy/ranking_rules.md): Built-in ranking rules are the core of Meilisearch's relevancy calculations.
- [Ranking score](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/relevancy/ranking_score.md): This article explains how the order of attributes in the `searchableAttributes` array impacts search result relevancy.
- [Relevancy](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/relevancy/relevancy.md): Relevancy refers to the accuracy of search results. If search results tend to be appropriate for a given query, then they can be considered relevant.
- [Synonyms](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/relevancy/synonyms.md): Use Meilisearch synonyms to indicate sets of query terms which should be considered equivalent during search.
- [Typo tolerance calculations](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/relevancy/typo_tolerance_calculations.md): Typo tolerance helps users find relevant results even when their search queries contain spelling mistakes or typos.
- [Typo tolerance settings](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/relevancy/typo_tolerance_settings.md): This article describes each of the typo tolerance settings.
- [Comparison to alternatives](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/resources/comparison_to_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.
- [Contributing to our documentation](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/resources/contributing_docs.md): The Meilisearch documentation is open-source. Learn how to help make it even better.
- [Experimental features overview](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/resources/experimental_features_overview.md): This article covers how to activate activate and configure Meilisearch experimental features.
- [FAQ](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/resources/faq.md): Frequently asked questions
- [Known limitations](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/resources/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.
- [Language](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/resources/language.md): Meilisearch is compatible with datasets in any language. Additionally, it features optimized support for languages using whitespace to separate words, Chinese, Hebrew, Japanese,  Korean, and Thai.
- [Official SDKs and libraries](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/resources/sdks.md): Meilisearch SDKs are available in many popular programming languages and frameworks. Consult this page for a full list of officially supported libraries.
- [Telemetry](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/resources/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://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/resources/versioning.md): This article describes the system behind Meilisearch's SDK and engine version numbering and compatibility.
- [Securing your project](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/security/basic_security.md): This tutorial will show you how to secure your Meilisearch project.
- [Differences between the master key and API keys](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/security/differences_master_api_keys.md): This article explains the main usage differences between the two types of security keys in Meilisearch: master key and API keys.
- [Generate a tenant token without a library](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/security/generate_tenant_token_scratch.md): This guide shows you the main steps when creating tenant tokens without using any libraries.
- [Multitenancy and tenant tokens](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/security/generate_tenant_token_sdk.md): This guide shows you the main steps when creating tenant tokens using Meilisearch's official SDKs.
- [Generate tenant tokens without a Meilisearch SDK](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/security/generate_tenant_token_third_party.md): This guide shows you the main steps when creating tenant tokens without using Meilisearch's official SDKs.
- [Multitenancy and tenant tokens](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/security/multitenancy_tenant_tokens.md): In this article you'll read what multitenancy is and how tenant tokens help managing complex applications and sensitive data.
- [Protected and unprotected Meilisearch projects](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/security/protected_unprotected.md): This article explains the differences between protected and unprotected Meilisearch projects and instances.
- [Resetting the master key](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/security/resetting_master_key.md): This guide shows you how to reset the master key in Meilisearch Cloud and self-hosted instances.
- [Tenant token payload reference](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/security/tenant_token_reference.md): Meilisearch's tenant tokens are JSON web tokens (JWTs). Their payload is made of three elements: search rules, an API key UID, and an optional expiration date.
- [Configure Meilisearch at launch](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/self_hosted/configure_meilisearch_at_launch.md): Configure Meilisearch at launch with command-line options, environment variables, or a configuration file.
- [Enterprise and Community editions](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/self_hosted/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 with self-hosted Meilisearch](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/self_hosted/getting_started_with_self_hosted_meilisearch.md): Learn how to install Meilisearch, index a dataset, and perform your first search.
- [Install Meilisearch locally](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/self_hosted/install_meilisearch_locally.md): Use Meilisearch with either Meilisearch Cloud, another cloud service, or install it locally.
- [Supported operating systems](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/self_hosted/supported_os.md): Meilisearch officially supports Windows, MacOS, and many Linux distributions.
- [Meilisearch Cloud teams](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/teams/teams.md): Meilisearch Cloud teams helps collaboration between project stakeholders with different skillsets and responsibilities.
- [Migrating from Algolia to Meilisearch](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/update_and_migration/algolia_migration.md): This guide will take you step-by-step through the creation of a Node.js script to upload data indexed by Algolia to Meilisearch.
- [Migrating to Meilisearch Cloud — Meilisearch Documentation](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/update_and_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.
- [Accessing previous docs versions](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/update_and_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.
- [Update to the latest Meilisearch version](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/learn/update_and_migration/updating.md): Learn how to migrate to the latest Meilisearch release.
- [Batches](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/batches.md): The /batches route allows you to monitor how Meilisearch is grouping and processing asynchronous operations.
- [Chats](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/chats.md): Use the chat completion API to create conversational search experiences using LLM technology
- [Compact](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/compact.md): Use the `/compact` route to reduce database fragmentation.
- [Documents](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/documents.md): The /documents route allows you to create, manage, and delete documents.
- [Dumps](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/dump.md): The /dumps route allows the creation of database dumps. Use dumps to migrate Meilisearch to a new version.
- [Experimental](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/experimental_features.md): The /experimental-features route allows you to manage some of Meilisearch's experimental features.
- [Export](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/export.md): Migrate between instances with the `/export` route
- [Facet search](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/facet_search.md): The /facet-search route allows you to search for facet values.
- [Health](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/health.md): The /health route allows you to verify the status and availability of a Meilisearch instance.
- [Indexes](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/indexes.md): The /indexes route allows you to create, manage, and delete your indexes.
- [Keys](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/keys.md): The /keys route allows you to create, manage, and delete API keys.
- [Log customization](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/logs.md): Customize Meilisearch logs with two experimental features: --experimental-logs-mode and --experimental-enable-logs-route.
- [Metrics](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/metrics.md): The /metrics endpoint is an experimental feature. It exposes data compatible with Prometheus and offers insight into Meilisearch's behavior and performance.
- [Multi-search](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/multi_search.md): The /multi-search route allows you to perform multiple search queries on one or more indexes.
- [Network](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/network.md): Use the `/network` route to create a network of Meilisearch instances.
- [Overview](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/overview.md): Consult this page for an overview of how to query Meilisearch's API, which types of parameters it supports, and how it structures its responses.
- [Search](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/search.md): The /search route allows you to search your indexed documents. This route includes a large number of parameters you can use to customize returned search results.
- [Settings](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/settings.md): The /settings route allows you to customize search settings for the given index.
- [Similar documents](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/similar.md): The /similar route accepts one search result and uses AI-powered search to return a number of similar documents.
- [Snapshots](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/snapshots.md): The /snapshots route creates database snapshots. Use snapshots to backup your Meilisearch data.
- [Stats](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/stats.md): The /stats route you gives extended information and metrics about indexes and the Meilisearch database.
- [Tasks](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/tasks.md): The /tasks route allows you to manage and monitor Meilisearch's asynchronous operations.
- [Version](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/version.md): The /version route allows you to check the version of a running Meilisearch instance.
- [Webhooks](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/api/webhooks.md): Use the /webhooks to trigger automatic workflows when Meilisearch finishes processing tasks.
- [Error codes](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/errors/error_codes.md): Consult this page for an exhaustive list of errors you may encounter when using the Meilisearch API.
- [Errors](https://meilisearch-6b28dec2-mintlify-code-samples.mintlify.app/reference/errors/overview.md): Consult this page for an overview of how Meilisearch reports and formats error objects.