• Importing a dump into Meilisearch Cloud

  What is a dump? A dump in Meilisearch is a compressed file that includes all your indexes, documents, and settings in an unprocessed, raw format. It's not a direct replica of your database but rather serves as a blueprint for recreating an identical dataset. Dumps are useful for two main purposes: they allow you to recover your database after updating Meilisearch, and they enable you to duplicate your database across different Meilisearch instances, regardless of version differences. Read moPopular

• Which languages can Meilisearch handle?

  Meilisearch is multilingual and offers optimized support for various languages. For the most up-to-date information on language support, visit the 'Language' section in our documentation. Additional resources: Does Meilisearch offer optimized support for Japanese? Does Meilisearch offer optimized support for Swedish? (/en/article/does-meiliseaSome readers

• Getting started with Meilisearch Cloud

  For a smooth start with Meilisearch Cloud, check out the 'Getting started with Meilisearch Cloud' section in our documentation.Some readers

• How to setup Meilisearch with JavaScript

  Installation We recommend installing meilisearch-js in your project with your package manager of choice. meilisearch-js officially supports node versions >= 14 and <= 18. Instead of using a package manager, you may also import the library directly into your HTML via a CDN. Run Meilisearch To use one of our SDKs, you must first have a running Meilisearch instance. Consult our documentation for instructions on how to downSome readers

• How do I manage index settings in the Meilisearch Cloud dashboard.

  Managing Index Settings in Meilisearch Cloud In Meilisearch Cloud, you can manage your index settings directly within the dashboard. These settings echo the index settings you would typically define directly through the API or our integrations. To configure your index settings: Navigate to the "Index list" section of the dashboard, where you will find a list of your existing indices. Identify the index you want to manage the settings and click on the “index settings” button to accessFew readers

• Does Meilisearch support AI search?

  Meilisearch supports AI search with additional capabilities for hybrid search. Alongside its experimental vector search feature that leverages Large Language Models, Meilisearch enables hybrid search functionality. This combines traditional keyword-based search with vector-based search, allowing for a more comprehensive and contextually relevant search experience. The hybrid search approach integrates the strengths of both keyword and AI-driven searches, enhancing the overall effecFew readers

• What are the server regions?

  With Meilisearch Cloud, you can choose where your data will be located. Currently, we have several locations available and will open new ones in the future. Exhaustive list of locations: 🇺🇸 San Francisco 🇺🇸 New York 🇬🇧 London 🇩🇪 Frankfurt 🇸🇬 SingaporeFew readers

• What is the difference between a project and a team?

  Projects serve as containers for indexes, tasks, billing, and other relevant information. Teams are groups of users with access to a specific set of projects. Learn more about Meilisearch Cloud Teams in our documentation. Meilisearch Cloud billing is based on projects and there are no costs associated withFew readers

• How can I integrate Meilisearch with my programming language?

  Meilisearch offers official SDKs and libraries for various programming languages, making integration with your projects straightforward and efficient. For the most up-to-date information on our supported SDKs and libraries, visit our documentation.Few readers

• Does Meilisearch support federated search?

  Yes, Meilisearch supports federated search, allowing you to search multiple indexes with a single request. You have two options for receiving search results: Separate lists (traditional multi-search): Results from each index are returned in distinct lists. A single unified list (federated multi-search): Results from all searched indexes are combined into one list, sorted by relevance. Meilisearch always maintains separate indexes, regardless of how you choose to receive your seFew readers