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β‘ The MeiliSearch API client written for Ruby π
MeiliSearch Ruby is the MeiliSearch API client for Ruby developers. 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, facets, and synonyms are provided out-of-the-box.
- π Documentation
- π§ Installation
- π Getting Started
- π€ Compatibility with MeiliSearch
- π‘ Learn More
- βοΈ Development Workflow and Contributing
See our Documentation or our API References.
With gem
in command line:
$ gem install meilisearch
In your Gemfile
with bundler:
source 'https://rubygems.org'
gem 'meilisearch'
There are many easy ways to download and run a MeiliSearch instance.
For example, if you use Docker:
$ docker pull getmeili/meilisearch:latest # Fetch the latest version of MeiliSearch image from Docker Hub
$ docker run -it --rm -p 7700:7700 getmeili/meilisearch:latest ./meilisearch --master-key=masterKey
NB: you can also download MeiliSearch from Homebrew or APT.
require 'meilisearch'
client = MeiliSearch::Client.new('http://127.0.0.1:7700', 'masterKey')
index = client.create_index('books') # If your index does not exist
index = client.index('books') # If you already created your index
documents = [
{ book_id: 123, title: 'Pride and Prejudice' },
{ book_id: 456, title: 'Le Petit Prince' },
{ book_id: 1, title: 'Alice In Wonderland' },
{ book_id: 1344, title: 'The Hobbit' },
{ book_id: 4, title: 'Harry Potter and the Half-Blood Prince' },
{ book_id: 42, title: 'The Hitchhiker\'s Guide to the Galaxy' }
]
index.add_documents(documents) # => { "updateId": 0 }
With the updateId
, you can check the status (enqueued
, processed
or failed
) of your documents addition using the update endpoint.
# MeiliSearch is typo-tolerant:
puts index.search('harry pottre')
Output:
{
"hits" => [{
"book_id" => 4,
"title" => "Harry Potter and the Half-Blood Prince"
}],
"offset" => 0,
"limit" => 20,
"processingTimeMs" => 1,
"query" => "harry pottre"
}
All the supported options are described in the search parameters section of the documentation.
index.search('prince',
{
filters: 'book_id > 10',
attributesToHighlight: ['*']
}
)
JSON output:
{
"hits": [
{
"book_id": 456,
"title": "Le Petit Prince",
"_formatted": {
"book_id": 456,
"title": "Le Petit <em>Prince</em>"
}
}
],
"offset": 0,
"limit": 20,
"processingTimeMs": 0,
"query": "prince"
}
This package only guarantees the compatibility with the version v0.16.0 of MeiliSearch.
The following sections may interest you:
- Manipulate documents: see the API references or read more about documents.
- Search: see the API references or follow our guide on search parameters.
- Manage the indexes: see the API references or read more about indexes.
- Configure the index settings: see the API references or follow our guide on settings parameters.
Any new contribution is more than welcome in this project!
If you want to know more about the development workflow or want to contribute, please visit our contributing guidelines for detailed instructions!
MeiliSearch provides and maintains many SDKs and Integration tools like this one. We want to provide everyone with an amazing search experience for any kind of project. If you want to contribute, make suggestions, or just know what's going on right now, visit us in the integration-guides repository.