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meilisearch
Advanced tools
ā” The Meilisearch API client written for JavaScript
Meilisearch JavaScript is the Meilisearch API client for JavaScript developers.
Meilisearch is an open-source search engine. Discover what Meilisearch is!
See our Documentation or our API References.
We only guarantee that the package works with node
>= 12 and node
<= 16.
With npm
:
npm install meilisearch
With yarn
:
yarn add meilisearch
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.
Depending on the environment in which you are using Meilisearch, imports may differ.
Usage in an ES module environment:
import { MeiliSearch } from 'meilisearch'
const client = new MeiliSearch({
host: 'http://127.0.0.1:7700',
apiKey: 'masterKey',
})
Usage in an HTML (or alike) file:
<script src='https://cdn.jsdelivr.net/npm/meilisearch@latest/dist/bundles/meilisearch.umd.js'></script>
<script>
const client = new MeiliSearch({
host: 'http://127.0.0.1:7700',
apiKey: 'masterKey',
})
</script>
Usage in a back-end node environment
const { MeiliSearch } = require('meilisearch')
const client = new MeiliSearch({
host: 'http://127.0.0.1:7700',
apiKey: 'masterKey',
})
To make this package work with React Native, please add the react-native-url-polyfill.
Usage in a back-end deno environment
import { MeiliSearch } from "https://esm.sh/meilisearch"
const client = new MeiliSearch({
host: 'http://127.0.0.1:7700',
apiKey: 'masterKey',
})
const { MeiliSearch } = require('meilisearch')
// Or if you are in a ES environment
import { MeiliSearch } from 'meilisearch'
;(async () => {
const client = new MeiliSearch({
host: 'http://127.0.0.1:7700',
apiKey: 'masterKey',
})
// An index is where the documents are stored.
const 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.
let response = await index.addDocuments(documents)
console.log(response) // => { "uid": 0 }
})()
With the uid
, you can check the status (enqueued
, processing
, succeeded
or failed
) of your documents addition using the task.
// Meilisearch is typo-tolerant:
const search = await index.search('philoudelphia')
console.log(search)
Output:
{
"hits": [
{
"id": "6",
"title": "Philadelphia",
"genres": ["Drama"]
}
],
"offset": 0,
"limit": 20,
"nbHits": 1,
"processingTimeMs": 1,
"query": "philoudelphia"
}
All the supported options are described in the search parameters section of the documentation.
await index.search(
'wonder',
{
attributesToHighlight: ['*']
}
)
{
"hits": [
{
"id": 2,
"title": "Wonder Woman",
"genres": ["Action", "Adventure"],
"_formatted": {
"id": 2,
"title": "<em>Wonder</em> Woman",
"genres": ["Action", "Adventure"]
}
}
],
"offset": 0,
"limit": 20,
"nbHits": 1,
"processingTimeMs": 0,
"query": "wonder"
}
If you want to enable filtering, you must add your attributes to the filterableAttributes
index setting.
await index.updateAttributesForFaceting([
'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 tasks).
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,
"nbHits": 1,
"processingTimeMs": 0,
"query": "wonder"
}
Placeholder search makes it possible to receive hits based on your parameters without having any query (q
). To enable faceted search on your dataset you need to add genres
in the settings.
await index.search(
'',
{
filter: ['genres = fantasy'],
facetsDistribution: ['genres']
}
)
{
"hits": [
{
"id": 2,
"title": "Wonder Woman",
"genres": ["Action","Adventure"]
},
{
"id": 5,
"title": "Moana",
"genres": ["Fantasy","Action"]
}
],
"offset": 0,
"limit": 20,
"nbHits": 2,
"processingTimeMs": 0,
"query": "",
"facetsDistribution": {
"genres": {
"Action": 2,
"Fantasy": 1,
"Adventure": 1
}
}
}
You can abort a pending search request by providing an AbortSignal to the request.
const controller = new AbortController()
index
.search('wonder', {}, {
signal: controller.signal,
})
.then((response) => {
/** ... */
})
.catch((e) => {
/** Catch AbortError here. */
})
controller.abort()
This package only guarantees the compatibility with the version v0.26.0 of Meilisearch.
The following sections may interest you:
This repository also contains more examples.
Any new contribution is more than welcome to this project!
If you want to know more about the development workflow or want to contribute, please visit our contributing guidelines for detailed instructions!
client.index<T>('xxx').search(query: string, options: SearchParams = {}, config?: Partial<Request>): Promise<SearchResponse<T>>
client.index<T>('xxx').searchGet(query: string, options: SearchParams = {}, config?: Partial<Request>): Promise<SearchResponse<T>>
index.addDocuments(documents: Document<T>[]): Promise<EnqueuedTask>
index.addDocumentsInBatches(documents: Document<T>[], batchSize = 1000): Promise<EnqueuedTask[]>
index.updateDocuments(documents: Document<T>[]): Promise<EnqueuedTask>
index.updateDocumentsInBatches(documents: Document<T>[], batchSize = 1000): Promise<EnqueuedTask[]>
index.getDocuments(params: getDocumentsParams): Promise<Document<T>[]>
index.getDocument(documentId: string): Promise<Document<T>>
index.deleteDocument(documentId: string | number): Promise<EnqueuedTask>
index.deleteDocuments(documentsIds: string[] | number[]): Promise<EnqueuedTask>
index.deleteAllDocuments(): Promise<Types.EnqueuedTask>
Task list:
client.getTasks(): Promise<Result<Task[]>>
One task:
client.getTask(uid: number): Promise<Task>
Task list:
index.getTasks(): Promise<Result<Task[]>>
One task:
index.getTask(uid: number): Promise<Task>
Using de client:
client.waitForTask(uid: number, { timeOutMs?: number, intervalMs?: number }): Promise<Task>
Using the index:
index.waitForTask(uid: number, { timeOutMs?: number, intervalMs?: number }): Promise<Task>
Using the client:
client.waitForTasks(uids: number[], { timeOutMs?: number, intervalMs?: number }): Promise<Result<Task[]>>
Using the index:
index.waitForTasks(uids: number[], { timeOutMs?: number, intervalMs?: number }): Promise<Result<Task[]>>
client.getIndexes(): Promise<Index[]>
client.getRawIndexes(): Promise<IndexResponse[]>
client.createIndex<T>(uid: string, options?: IndexOptions): Promise<EnqueuedTask>
client.index<T>(uid: string): Index<T>
Get an index instance completed with information fetched from Meilisearch:
client.getIndex<T>(uid: string): Promise<Index<T>>
Get the raw index JSON response from Meilisearch:
client.getRawIndex(uid: string): Promise<IndexResponse>
Get an object with information about the index:
index.getRawInfo(): Promise<IndexResponse>
Using the client
client.updateIndex(uid: string, options: IndexOptions): Promise<EnqueuedTask>
Using the index object:
index.update(data: IndexOptions): Promise<EnqueuedTask>
Using the client
client.deleteIndex(uid): Promise<void>
Using the index object:
index.delete(): Promise<void>
index.getStats(): Promise<IndexStats>
index.fetchInfo(): Promise<Index>
index.fetchPrimaryKey(): Promise<string | undefined>
index.getSettings(): Promise<Settings>
index.updateSettings(settings: Settings): Promise<EnqueuedTask>
index.resetSettings(): Promise<EnqueuedTask>
index.getSynonyms(): Promise<object>
index.updateSynonyms(synonyms: Synonyms): Promise<EnqueuedTask>
index.resetSynonyms(): Promise<EnqueuedTask>
Get Stop Words:
index.getStopWords(): Promise<string[]>
Update Stop Words:
index.updateStopWords(stopWords: string[] | null ): Promise<EnqueuedTask>
Reset Stop Words:
index.resetStopWords(): Promise<EnqueuedTask>
Get Ranking Rules:
index.getRankingRules(): Promise<string[]>
Update Ranking Rules:
index.updateRankingRules(rankingRules: string[] | null): Promise<EnqueuedTask>
Reset Ranking Rules:
index.resetRankingRules(): Promise<EnqueuedTask>
Get Distinct Attribute:
index.getDistinctAttribute(): Promise<string | void>
Update Distinct Attribute:
index.updateDistinctAttribute(distinctAttribute: string | null): Promise<EnqueuedTask>
Reset Distinct Attribute:
index.resetDistinctAttribute(): Promise<EnqueuedTask>
Get Searchable Attributes:
index.getSearchableAttributes(): Promise<string[]>
Update Searchable Attributes:
index.updateSearchableAttributes(searchableAttributes: string[] | null): Promise<EnqueuedTask>
Reset Searchable Attributes:
index.resetSearchableAttributes(): Promise<EnqueuedTask>
Get Displayed Attributes:
index.getDisplayedAttributes(): Promise<string[]>
Update Displayed Attributes:
index.updateDisplayedAttributes(displayedAttributes: string[] | null): Promise<EnqueuedTask>
Reset Displayed Attributes:
index.resetDisplayedAttributes(): Promise<EnqueuedTask>
Get Filterable Attributes:
index.getFilterableAttributes(): Promise<string[]>
Update Filterable Attributes:
index.updateFilterableAttributes(filterableAttributes: string[] | null): Promise<EnqueuedTask>
Reset Filterable Attributes:
index.resetFilterableAttributes(): Promise<EnqueuedTask>
Get Sortable Attributes:
index.getSortableAttributes(): Promise<string[]>
Update Sortable Attributes:
index.updateSortableAttributes(sortableAttributes: string[] | null): Promise<EnqueuedTask>
Reset Sortable Attributes:
index.resetSortableAttributes(): Promise<EnqueuedTask>
client.getKeys(): Promise<Result<Key[]>>
client.getKey(key: string): Promise<Key>
client.createKey(options: KeyPayload): Promise<Key>
client.updateKey(key: string, options: KeyPayload): Promise<Key>
client.deleteKey(key: string): Promise<void>
client.isHealthy(): Promise<boolean>
client.health(): Promise<Health>
client.getStats(): Promise<Stats>
client.getVersion(): Promise<Version>
client.createDump(): Promise<Types.EnqueuedDump>
client.getDumpStatus(dumpUid: string): Promise<Types.EnqueuedDump>
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.
FAQs
The Meilisearch JS client for Node.js and the browser.
The npm package meilisearch receives a total of 44,636 weekly downloads. As such, meilisearch popularity was classified as popular.
We found that meilisearch demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago.Ā It has 4 open source maintainers collaborating on the project.
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