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 moPopularGetting started with Meilisearch Cloud
For a smooth start with Meilisearch Cloud, check out the 'Getting started with Meilisearch Cloud' section in our documentation.Some readersWhich languages can Meilisearch handle?
For the most up-to-date information on language support, visit the 'Language' section in our documentation.Some readersHow 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 downFew readersHow 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 readersDoes 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 readersWhat 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 readersDoes Meilisearch offer optimized support for Japanese?
Meilisearch provides optimization for Japanese language as an on-demand feature. Please contact our team to enable it. While it is possible to enable it for an existing project, we strongly recommend that you contact our team before creating a new project. It's important to note that, in order to ensure compatibility with new releases of Meilisearch, you will need to coordinate with our team for upgrades to maintain optimized Japanese language functionality in your project.Few readersWhat 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