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โก The Meilisearch plugin for Strapi
Meilisearch is an open-source search engine. Discover what Meilisearch is!
Add your Strapi content-types into a Meilisearch instance. The plugin listens to modifications made on your content-types and updates Meilisearch accordingly.
- ๐ Documentation
- โก Supercharge your Meilisearch experience
- ๐ง Installation
- ๐ฌ Getting Started
- ๐ Customization
- ๐ก Run the Playground
- ๐ค Compatibility with Meilisearch and Strapi
- โ๏ธ Development Workflow and Contributing
- ๐ Community support
- ๐คฉ Just for the pleasure of the eyes
To understand Meilisearch and how it works, see the Meilisearch's documentation.
To understand Strapi and how to create an app, see Strapi's documentation.
Say goodbye to server deployment and manual updates with Meilisearch Cloud. Get started with a 14-day free trial! No credit card required.
This package version works with the v4 of Strapi. If you are using Strapi v3, please refer to this README.
Inside your Strapi app, add the package:
With npm
:
npm install strapi-plugin-meilisearch
With yarn
:
yarn add strapi-plugin-meilisearch
To apply the plugin to Strapi, a re-build is needed:
strapi build
You will need both a running Strapi app and a running Meilisearch instance. For specific version compatibility see this section.
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
If you don't have a running Strapi project yet, you can either launch the playground present in this project or create a Strapi project.
We recommend indexing your content-types to Meilisearch in development mode to allow the server reloads needed to apply or remove listeners.
strapi develop
// or
yarn develop
To run Meilisearch and Strapi on the same server you can use Docker. A Docker configuration example can be found in the directory resources/docker
of this repository.
To run the Docker script add both files Dockerfile
and docker-compose.yaml
at the root of your Strapi project and run it with the following command: docker-compose up
.
Now that you have installed the plugin, a running meiliSearch instance and, a running Strapi app, let's go to the plugin page on your admin dashboard.
On the left-navbar, Meilisearch
appears under the PLUGINS
category. If it does not, ensure that you have installed the plugin and re-build Strapi (see installation).
First, you need to configure credentials via the Strapi config, or on the plugin page. The credentials are composed of:
- The
host
: The url to your running Meilisearch instance. - The
api_key
: Themaster
orprivate
key as the plugin requires administration permission on Meilisearch.More about permissions here.
master
or private
key should never be used to search
on your front end. For searching, use the public
key available on the key
route.
You can add your Meilisearch credentials in the settings
tab on the Meilisearch plugin page.
For example, using the credentials from the section above: Run Meilisearch
, the following screen shows where the information should be.
Once completed, click on the add
button.
To use the Strapi config add the following to config/plugins.js
:
// config/plugins.js
module.exports = () => ({
//...
meilisearch: {
config: {
// Your meili host
host: "http://localhost:7700",
// Your master key or private key
apiKey: "masterKey",
}
}
})
Note that if you use both methods, the config file overwrites the credentials added through the plugin page.
If you don't have any content-types yet in your Strapi Plugin, please follow Strapi quickstart.
We will use, as example, the content-types provided by Strapi's quickstart (plus the user content-type).
On your plugin homepage, you should have two content-types appearing: restaurant
, category
and user
.
By clicking on the left checkbox, the content-type is automatically indexed in Meilisearch. For example, if you click on the restaurant
checkbox, the indexing to Meilisearch starts.
Once the indexing is done, your restaurants are in Meilisearch. We will see in start searching how to try it out.
Hooks are listeners that update Meilisearch each time you add/update/delete an entry in your content-types.
They are activated as soon as you add a content-type to Meilisearch. For example by clicking on the checkbox of restaurant
.
Nonetheless, if you remove a content-type from Meilisearch by unchecking the checkbox, you need to reload the server. If you don't, actions are still listened to and applied to Meilisearch.
The reload is only possible in develop mode; click on the Reload Server
button. If not, reload the server manually!
It is possible to add settings for every collection. Start by creating a sub-object with the name of the collection inside your plugins.js
file.
// config/plugins.js
module.exports = () => ({
//...
meilisearch: {
config: {
restaurant: {}
}
}
})
Settings:
- ๐ท Custom index name
- ๐ช Transform entries
- ๐ค Filter entries
- ๐ Add Meilisearch settings
- ๐ Entries query
By default, when indexing a content-type in Meilisearch, the index in Meilisearch has the same name as the content-type. This behavior can be changed by setting the indexName
property in the configuration file of the plugin.
Example:
In the following example, the restaurant
content-type in Meilisearch is called my_restaurant
instead of the default restaurant
.
// config/plugins.js
module.exports = () => ({
//...
meilisearch: {
config: {
restaurant: {
indexName: "my_restaurants",
}
}
}
})
It is possible to bind multiple content-types to the same index. They all have to share the same indexName
.
For example if shoes
and shirts
should be bound to the same index, they must have the same indexName
in the plugin configuration:
// config/plugins.js
module.exports = () => ({
//...
meilisearch: {
config: {
shirts: {
indexName: 'products',
},
shoes: {
indexName: 'products',
},
},
},
})
Now, on each entry addition from both shoes
and shirts
the entry is added in the product
index of Meilisearch.
disclaimer
Nonetheless, it is not possible to know how many entries from each content-type is added to Meilisearch.
For example, given two content-types:
Shoes
: with 300 entries and anindexName
set toproduct
Shirts
: 200 entries and anindexName
set toproduct
The index product
has both the entries of shoes and shirts. If the index product
has 350
documents in Meilisearch, it is not possible to know how many of them are from shoes
or shirts
.
When removing shoes
or shirts
from Meilisearch, both are removed as it would require to much processing to only remove one. You can still re-index only one after that.
Example with two single types:
Examples can be found this directory.
By default, the plugin sent the data the way it is stored in your Strapi content-type. It is possible to remove or transform fields before sending your entries to Meilisearch.
Create the alteration function transformEntry
in the plugin's configuration file. Before sending the data to Meilisearch, every entry passes through this function where the alteration is applied.
transformEntry
can be synchronous
or asynchronous
.
You can find a lot of examples in this directory.
Example
For example, the restaurant
content-type has a relation with the category
content-type. Inside a restaurant
entry the categories
field contains an array of each category in an object
format: [{ name: "Brunch" ...}, { name: "Italian ... }]
.
The following transforms categories
in an array of strings containing only the name of the category:
// config/plugins.js
module.exports = {
meilisearch: {
config: {
restaurant: {
transformEntry({ entry }) { // can also be async
return {
...entry,
categories: entry.categories.map(category => category.name)
}
},
}
}
},
}
Result:
{
"id": 2,
"name": "Squared Pizza",
"categories": [
"Brunch",
"Italian"
],
// other fields
}
By transforming the categories
into an array of names, it is now compatible with the filtering
feature in Meilisearch.
Important: You should always return the id of the entry without any transformation to allow sync when unpublished or deleting some entries in Strapi.
You might want to filter out some entries. This is possible with the filterEntry
. Imagine you don't like Alfredo's
restaurant. You can filter out this specific entry.
filterEntry
can be synchronous
or asynchronous
.
// config/plugins.js
module.exports = {
meilisearch: {
config: {
restaurant: {
filterEntry({ entry }) { // can also be async
return entry.title !== `Alfredo`
},
},
},
},
}
Alfredo's
restaurant is not added to Meilisearch.
Each index in Meilisearch can be customized with specific settings. It is possible to add your Meilisearch settings configuration to the indexes you create using the settings
field in the plugin configuration file.
The settings are added when either: adding a content-type to Meilisearch or when updating a content-type in Meilisearch. The settings are not updated when documents are added through the listeners
.
For example
module.exports = {
meilisearch: {
config: {
restaurant: {
settings: {
filterableAttributes: ['categories'],
synonyms: {
healthy: ['pokeball', 'vegan']
}
}
}
}
},
}
See resources for more settings examples.
When indexing a content type to Meilisearch, the plugin has to fetch the documents from your database. With entriesQuery
it is possible to specify some options are applied during the fetching of the entries.
The options you can set are described in the findMany
documentation of Strapi. However, we do not accept any changes on the start
parameter.
Common use cases
If you are using the ๐ Internationalization (i18n) plugin, an additional field locale
can also be added in entriesQuery
.
If you want to add a collection with a relation to the collection being included, you have to configure the populate
parameter in entriesQuery
. See the docs on how it works, and an example in our resources.
Example
If you want your documents to be fetched in batches of 1000
you specify it in the entriesQuery
option.
module.exports = {
meilisearch: {
config: {
restaurant: {
entriesQuery: {
limit: 1000
}
}
}
},
}
See resources for more entriesQuery examples.
Once you have a content-type indexed in Meilisearch, you can start searching.
To search in Meilisearch, you can use the instant-meilisearch library that integrates a whole search interface, or our meilisearch-js SDK.
You can have a front up and running in record time with instant-meilisearch.
In Instant Meilisearch, you only have to provide your credentials and index name (uid). restaurant
is the index name in our example.
You can have a quick preview with the following code in an HTML file. Create an HTML file, copy-paste the code below and open the file in your browser (or find it in /front_examples/restaurant.html
).
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@meilisearch/instant-meilisearch/templates/basic_search.css" />
</head>
<body>
<div class="wrapper">
<div id="searchbox" focus></div>
<div id="hits"></div>
</div>
<script src="https://cdn.jsdelivr.net/npm/@meilisearch/instant-meilisearch/dist/instant-meilisearch.umd.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/instantsearch.js@4"></script>
<script>
const search = instantsearch({
indexName: "restaurant",
searchClient: instantMeiliSearch(
"http://localhost:7700",
'publicKey', // Use the public key not the private or master key to search.
)
});
search.addWidgets([
instantsearch.widgets.searchBox({
container: "#searchbox"
}),
instantsearch.widgets.configure({ hitsPerPage: 8 }),
instantsearch.widgets.hits({
container: "#hits",
templates: {
item: `
<div>
<div class="hit-name">
{{#helpers.highlight}}{ "attribute": "name" }{{/helpers.highlight}}
</div>
</div>
`
}
})
]);
search.start();
</script>
</body>
</html>
You can also use meilisearch-js to communicate with Meilisearch.
The following code is a setup that will output a restaurant after a search.
import { MeiliSearch } from 'meilisearch'
;(async () => {
const client = new MeiliSearch({
host: 'http://127.0.0.1:7700',
apiKey: 'publicKey', // Use the public key not the private or master key to search.
})
// An index is where the documents are stored.
const response = client.index('movies').search('Biscoutte')
})()
response content:
{
"hits": [
{
"id": 3,
"name": "Biscotte Restaurant",
"description": "Welcome to Biscotte restaurant! Restaurant Biscotte offers a cuisine based on fresh, quality products, often local, organic when possible, and always produced by passionate producers.",
"categories": []
}
],
"offset": 0,
"limit": 20,
"nbHits": 1,
"exhaustiveNbHits": false,
"processingTimeMs": 1,
"query": "biscoutte"
}
Instead of adding the plugin to an existing project, you can try it out using the playground in this project.
# Root of repository
yarn playground:build # Build the playground
yarn playground:dev # Start the development server
This command will install the required dependencies and launch the app in development mode. You should be able to reach it on the port 8000 of your localhost.
Supported Strapi versions:
Complete installation requirements are the same as for Strapi itself and can be found in the documentation under installation Requirements.
- Strapi
>=v4.x.x
If you are using Strapi v3, please refer to this README.
Supported Meilisearch versions:
This package guarantees compatibility with version v1.x of Meilisearch, but some features may not be present. Please check the issues for more info.
Node / NPM versions:
- NodeJS >= 14.10 <= 16
- NPM >= 6.x
We recommend always using the latest version of Strapi to start your new projects.
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!
- For general help using Meilisearch, please refer to the official Meilisearch documentation.
- Contact the Meilisearch support
- Strapi community Slack
- For general help using Strapi, please refer to the official Strapi documentation.
Using the foodadvisor restaurant demo Strapi provided. We added a searchbar to it using instant-meilisearch.