meilisearch/integration-guides

Central reference for Meilisearch integrations.

Meilisearch Integrations

This repository is the central reference for developing and maintaining integrations for Meilisearch.

Website | Roadmap | Meilisearch Cloud | Blog | Documentation | FAQ | Discord

Meilisearch is an open-source search engine that offers fast, relevant search out of the box.

👉 Meilisearch repository

🛠 Meilisearch Integrations

Here are the different groups of integrations:

• the SDKs: the devkits that help the devs to use Meilisearch with their favorite language.
• the Front-End Integrations: to integrate a smooth search experience in the front-end of the projects.
• the Web Framework Integrations: to connect the web frameworks with Meilisearch.
• the DevOps Tools: to make the deployment of Meilisearch easier.
• the Platform Plugins: to sync your data with Meilisearch and/or add a search experience on different platforms.

The exhaustive list of the maintained repositories by the team is available below.

SDKs for Meilisearch API

• .Net
• Dart
• Golang
• Java
• JavaScript
• PHP
• Python
• Ruby
• Rust
• Swift

🏗 Framework Integrations

• Laravel: the official Laravel-Scout package supports Meilisearch.
• Ruby on Rails
• Symfony

Front-End Integrations

• Angular
• React
• Vue
• instant-meilisearch: A search client that enables the integration of the open-source tool instantsearch.js with Meilisearch. This client allows you to combine the functionalities of Meilisearch with InstantSearch.js, resulting in a powerful and interactive search user interface.
• Autocomplete client: A search client that enables the integration of the open-source tool autocomplete-js with Meilisearch. This client allows you to utilize the powerful features of Meilisearch in combination with autocomplete functionality for an enhanced search experience.
• docs-searchbar.js: a search bar integration for all kinds of documentation.

🧩 Platform Plugins

• Firestore
• Gatsby
• Strapi
• VuePress

🐳 DevOps Tools

• meilisearch-kubernetes: A helm chart that help you deploying Meilisearch on Kubernetes.
• Cloud Providers: Centralize a set of tools to build Meilisearch images for multiple platforms. How to deploy a Meilisearch instance on every provider:
  • See this dedicated page for AWS to use it.
  • See this dedicated page for DigitalOcean to use it.
  • See this dedicated page for GCP to use it.

Misc

• docs-scraper: a scraper tool to automatically read the content of your documentation and store it into Meilisearch.
• meilisearch-migration
• mini-dashboard

🚧 Work In Progress

• Flutter

🍿 Discussions

Our general discussions are available in the issues of this repository.

Feel free to take part of our current discussions, or create a new issue.

📖 Documentation

Read the official Meilisearch docs.

🚀 Building an Integration

If you want to build an integration for Meilisearch, you are more than welcome to! And we would be more than happy to help you in the process :)

We are proud that some of our libraries were developed and are still maintained by external contributors ❤️

Here are some guidelines that you should follow, as we want to guarantee consistency and coherence across the different integrations, as well as technical quality for the different Meilisearch users.