MeiliSearch

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⚡ Lightning Fast, Ultra Relevant, and Typo-Tolerant Search Engine 🔍

MeiliSearch is a powerful, fast, open-source, easy to use and deploy search engine. Both searching and indexing are highly customizable. Features such as typo-tolerance, filters, and synonyms are provided out-of-the-box. For more information about features go to our documentation.

✨ Features

• Search as-you-type experience (answers < 50 milliseconds)
• Full-text search
• Typo tolerant (understands typos and miss-spelling)
• Faceted search and filters
• Supports Kanji characters
• Supports Synonym
• Easy to install, deploy, and maintain
• Whole documents are returned
• Highly customizable
• RESTful API

Getting started

Deploy the Server

Homebrew (Mac OS)

brew update && brew install meilisearch
meilisearch

Docker

docker run -p 7700:7700 -v $(pwd)/data.ms:/data.ms getmeili/meilisearch

Try MeiliSearch in our Sandbox

Create a MeiliSearch instance in MeiliSearch Sandbox. This instance is free, and will be active for 72 hours.

Run on Digital Ocean

Deploy on Platform.sh

APT (Debian & Ubuntu)

echo "deb [trusted=yes] https://apt.fury.io/meilisearch/ /" > /etc/apt/sources.list.d/fury.list
apt update && apt install meilisearch-http
meilisearch

Download the binary (Linux & Mac OS)

curl -L https://install.meilisearch.com | sh
./meilisearch

Compile and run it from sources

If you have the latest stable Rust toolchain installed on your local system, clone the repository and change it to your working directory.

git clone https://github.com/meilisearch/MeiliSearch.git
cd MeiliSearch

In the cloned repository, compile MeiliSearch.

rustup override set stable
rustup update stable
cargo run --release

Create an Index and Upload Some Documents

Let's create an index! If you need a sample dataset, use this movie database. You can also find it in the datasets/ directory.

curl -L 'https://bit.ly/2PAcw9l' -o movies.json

MeiliSearch can serve multiple indexes, with different kinds of documents. It is required to create an index before sending documents to it.

curl -i -X POST 'http://127.0.0.1:7700/indexes' --data '{ "name": "Movies", "uid": "movies" }'

Now that the server knows about your brand new index, you're ready to send it some data.

curl -i -X POST 'http://127.0.0.1:7700/indexes/movies/documents' \
  --header 'content-type: application/json' \
  --data-binary @movies.json

Search for Documents

In command line

The search engine is now aware of your documents and can serve those via an HTTP server.

The jq command-line tool can greatly help you read the server responses.

curl 'http://127.0.0.1:7700/indexes/movies/search?q=botman+robin&limit=2' | jq

{
  "hits": [
    {
      "id": "415",
      "title": "Batman & Robin",
      "poster": "https://image.tmdb.org/t/p/w1280/79AYCcxw3kSKbhGpx1LiqaCAbwo.jpg",
      "overview": "Along with crime-fighting partner Robin and new recruit Batgirl...",
      "release_date": "1997-06-20",
    },
    {
      "id": "411736",
      "title": "Batman: Return of the Caped Crusaders",
      "poster": "https://image.tmdb.org/t/p/w1280/GW3IyMW5Xgl0cgCN8wu96IlNpD.jpg",
      "overview": "Adam West and Burt Ward returns to their iconic roles of Batman and Robin...",
      "release_date": "2016-10-08",
    }
  ],
  "offset": 0,
  "limit": 2,
  "processingTimeMs": 1,
  "query": "botman robin"
}

Use the Web Interface

We also deliver an out-of-the-box web interface in which you can test MeiliSearch interactively.

You can access the web interface in your web browser at the root of the server. The default URL is http://127.0.0.1:7700. All you need to do is open your web browser and enter MeiliSearch’s address to visit it. This will lead you to a web page with a search bar that will allow you to search in the selected index.

| See the gif above

Documentation

Now that your MeiliSearch server is up and running, you can learn more about how to tune your search engine in the documentation.

Contributing

Hey! We're glad you're thinking about contributing to MeiliSearch! If you think something is missing or could be improved, please open issues and pull requests. If you'd like to help this project grow, we'd love to have you! To start contributing, checking issues tagged as "good-first-issue" is a good start!

Telemetry

MeiliSearch collects anonymous data regarding general usage. This helps us better understand developers usage of MeiliSearch features.
To see what information we're retrieving, please see the complete list on the dedicated issue.
We also use Sentry to make us crash and error reports. If you want to know more about what Sentry collects, please visit their privacy policy website.
This program is optional, you can disable these analytics by using the MEILI_NO_ANALYTICS env variable.

💌 Contact

Feel free to contact us about any questions you may have:

• At bonjour@meilisearch.com
• Via the chat box available on every page of our documentation and on our landing page.
• 🆕 Join our GitHub Discussions forum
• Join our Slack community.
• By opening an issue.

MeiliSearch is developed by Meili, a young company. To know more about us, you can read our blog. Any suggestion or feedback is highly appreciated. Thank you for your support!