⚡ The Meilisearch API client written in Dart
Meilisearch Dart is the Meilisearch API client for Dart and Flutter developers.
Meilisearch is an open-source search engine. Learn more about Meilisearch.
This readme contains all the documentation you need to start using this Meilisearch SDK.
For general information on how to use Meilisearch—such as our API reference, tutorials, guides, and in-depth articles—refer to our main documentation website.
Say goodbye to server deployment and manual updates with Meilisearch Cloud. Get started with a 14-day free trial! No credit card required.
You can install the meilisearch package by adding a few lines into pubspec.yaml
file.
dependencies:
meilisearch: ^0.16.0
Then open your terminal and update dart packages.
pub get
There are many easy ways to download and run a Meilisearch instance.
For example, using the curl
command in your Terminal:
#Install Meilisearch
curl -L https://install.meilisearch.com | sh
# Launch Meilisearch
./meilisearch --master-key=masterKey
NB: you can also download Meilisearch from Homebrew or APT or even run it using Docker.
import 'package:meilisearch/meilisearch.dart';
void main() async {
var client = MeiliSearchClient('http://127.0.0.1:7700', 'masterKey');
// An index is where the documents are stored.
var index = client.index('movies');
const documents = [
{ 'id': 1, 'title': 'Carol', 'genres': ['Romance', 'Drama'] },
{ 'id': 2, 'title': 'Wonder Woman', 'genres': ['Action', 'Adventure'] },
{ 'id': 3, 'title': 'Life of Pi', 'genres': ['Adventure', 'Drama'] },
{ 'id': 4, 'title': 'Mad Max: Fury Road', 'genres': ['Adventure', 'Science Fiction'] },
{ 'id': 5, 'title': 'Moana', 'genres': ['Fantasy', 'Action']},
{ 'id': 6, 'title': 'Philadelphia', 'genres': ['Drama'] },
]
// If the index 'movies' does not exist, Meilisearch creates it when you first add the documents.
var task = await index.addDocuments(documents); // => { "uid": 0 }
}
With the uid
, you can check the status (enqueued
, canceled
, processing
, succeeded
or failed
) of your documents addition using the task.
// Meilisearch is typo-tolerant:
var result = await index.search('carlo');
print(result.hits);
JSON Output:
[
{
"id": 1,
"title": "Carol",
"genres": ["Romance", "Drama"]
}
]
All the supported options are described in the search parameters section of the documentation.
var result = await index.search(
'carol',
attributesToHighlight: ['title'],
);
JSON output:
{
"hits": [
{
"id": 1,
"title": "Carol",
"_formatted": {
"id": 1,
"title": "<em>Carol</em>"
}
}
],
"offset": 0,
"limit": 20,
"processingTimeMs": 0,
"query": "carol"
}
If you want to enable filtering, you must add your attributes to the filterableAttributes
index setting.
await index.updateFilterableAttributes(['id', 'genres']);
You only need to perform this operation once.
Note that MeiliSearch will rebuild your index whenever you update filterableAttributes
.
Depending on the size of your dataset, this might take time. You can track the process using the task status.
Then, you can perform the search:
await index.search('wonder', filter: ['id > 1 AND genres = Action']);
{
"hits": [
{
"id": 2,
"title": "Wonder Woman",
"genres": ["Action","Adventure"]
}
],
"offset": 0,
"limit": 20,
"estimatedTotalHits": 1,
"processingTimeMs": 0,
"query": "wonder"
}
Meilisearch uses dio internally to send requests, you can provide it with your own interceptors or adapter using the MeiliSearchClient.withCustomDio
constructor.
The MeiliDocumentContainer<T>
class contains meilisearch-specific fields (e.g. rankingScoreDetails
, _formatted
, matchesPosition
, etc...).
We define the mapToContainer()
extension to help you quickly opt-in to this class, example:
final res = await index
.search("hello world")
.asSearchResult() //or .asPaginatedResult() if using page parameters
.mapToContainer();
This package guarantees compatibility with version v1.x of Meilisearch, but some features may not be present. Please check the issues for more info.
⚠️ This package is not compatible with the vectoreStore
experimental feature of Meilisearch v1.6.0 and later. More information on this issue.
The following sections in our main documentation website may interest you:
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.