meilisearch
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⚡ The Meilisearch API client written for JavaScript
Meilisearch JavaScript is the Meilisearch API client for JavaScript 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.
We recommend installing meilisearch-js in your project with your package manager of choice.
npm install meilisearch
meilisearch-js officially supports node versions >= 14 and <= 18.
Instead of using a package manager, you may also import the library directly into your HTML via a CDN.
To use one of our SDKs, you must first have a running Meilisearch instance. Consult our documentation for instructions on how to download and launch Meilisearch.
After installing meilisearch-js, you must import it into your application. There are many ways of doing that depending on your development environment.
import syntax Usage in an ES module environment:
import { MeiliSearch } from 'meilisearch'
const client = new MeiliSearch({
host: 'http://127.0.0.1:7700',
apiKey: 'masterKey',
})
<script> tag 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>
require syntax Usage in a back-end node.js or another environment supporting CommonJS modules:
const { MeiliSearch } = require('meilisearch')
const client = new MeiliSearch({
host: 'http://127.0.0.1:7700',
apiKey: 'masterKey',
})
To use meilisearch-js with React Native, you must also install react-native-url-polyfill.
Usage in a 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 }
})()
Tasks such as document addition always return a unique identifier. You can use this identifier taskUid to check the status (enqueued, canceled, processing, succeeded or failed) of a 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,
"estimatedTotalHits": 1,
"processingTimeMs": 1,
"query": "philoudelphia"
}
meilisearch-js supports all search parameters described in our main documentation website.
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,
"estimatedTotalHits": 1,
"processingTimeMs": 0,
"query": "wonder"
}
To enable filtering, you must first add your attributes to the filterableAttributes index setting.
await index.updateFilterableAttributes([
'id',
'genres'
])
You only need to perform this operation once per index.
Note that Meilisearch rebuilds your index whenever you update filterableAttributes. Depending on the size of your dataset, this might take considerable time. You can track the process using the tasks API).
After you configured filterableAttributes, you can use the filter search parameter to refine your 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"
}
Placeholder search makes it possible to receive hits based on your parameters without having any query (q). For example, in a movies database you can run an empty query to receive all results filtered by genre.
await index.search(
'',
{
filter: ['genres = fantasy'],
facets: ['genres']
}
)
{
"hits": [
{
"id": 2,
"title": "Wonder Woman",
"genres": ["Action","Adventure"]
},
{
"id": 5,
"title": "Moana",
"genres": ["Fantasy","Action"]
}
],
"offset": 0,
"limit": 20,
"estimatedTotalHits": 2,
"processingTimeMs": 0,
"query": "",
"facetDistribution": {
"genres": {
"Action": 2,
"Fantasy": 1,
"Adventure": 1
}
}
}
Note that to enable faceted search on your dataset you need to add genres to the filterableAttributes index setting. For more information on filtering and faceting, consult our documentation settings.
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()
You can provide a custom request configuration. for example, with custom headers.
const client: MeiliSearch = new MeiliSearch({
host: 'http://localhost:3000/api/meilisearch/proxy',
requestConfig: {
headers: {
Authorization: AUTH_TOKEN
},
// OR
credentials: 'include'
}
})
You can use your own HTTP client, for example, with axios.
const client: MeiliSearch = new MeiliSearch({
host: 'http://localhost:3000/api/meilisearch/proxy',
httpClient: async (url, opts) => {
const response = await $axios.request({
url,
data: opts?.body,
headers: opts?.headers,
method: (opts?.method?.toLocaleUpperCase() as Method) ?? 'GET'
})
return response.data
}
})
This package guarantees compatibility with version v1.x of Meilisearch, but some features may not be present. Please check the issues for more info.
The following sections in our main documentation website may interest you:
This repository also contains more examples.
We welcome all contributions, big and small! If you want to know more about this SDK's development workflow or want to contribute to the repo, 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>>
client.multiSearch(queries?: MultiSearchParams, config?: Partial<Request>): Promise<Promise<MultiSearchResponse<T>>>
multiSearch uses the POST method when performing its request to Meilisearch.
client.index<T>('myIndex').searchForFacetValues(params: SearchForFacetValuesParams, config?: Partial<Request>): Promise<SearchForFacetValuesResponse>
client.index('myIndex').addDocuments(documents: Document<T>[]): Promise<EnqueuedTask>
client.index('myIndex').addDocumentsFromString(documents: string, contentType: ContentType, queryParams: RawDocumentAdditionOptions): Promise<EnqueuedTask>
client.index('myIndex').addDocumentsInBatches(documents: Document<T>[], batchSize = 1000): Promise<EnqueuedTask[]>
client.index('myIndex').updateDocuments(documents: Array<Document<Partial<T>>>): Promise<EnqueuedTask>
client.index('myIndex').updateDocumentsFromString(documents: string, contentType: ContentType, queryParams: RawDocumentAdditionOptions): Promise<EnqueuedTask>
client.index('myIndex').updateDocumentsInBatches(documents: Array<Document<Partial<T>>>, batchSize = 1000): Promise<EnqueuedTask[]>
client.index.getDocuments(parameters: DocumentsQuery = {}): Promise<DocumentsResults<T>>>
client.index('myIndex').getDocument(documentId: string): Promise<Document<T>>
client.index('myIndex').deleteDocument(documentId: string | number): Promise<EnqueuedTask>
client.index('myIndex').deleteDocuments(params: DocumentsDeletionQuery | DocumentsIds): Promise<EnqueuedTask>
client.index('myIndex').deleteAllDocuments(): Promise<Types.EnqueuedTask>
client.getTasks(parameters: TasksQuery): Promise<TasksResults>
client.getTask(uid: number): Promise<Task>
client.deleteTasks(parameters: DeleteTasksQuery = {}): Promise<EnqueuedTask>
client.cancelTasks(parameters: CancelTasksQuery = {}): Promise<EnqueuedTask>
client.index('myIndex').getTasks(parameters: TasksQuery): Promise<TasksResults>
client.index('myIndex').getTask(uid: number): Promise<Task>
client.waitForTask(uid: number, { timeOutMs?: number, intervalMs?: number }): Promise<Task>
client.index('myIndex').waitForTask(uid: number, { timeOutMs?: number, intervalMs?: number }): Promise<Task>
client.waitForTasks(uids: number[], { timeOutMs?: number, intervalMs?: number }): Promise<Task[]>
client.index('myIndex').waitForTasks(uids: number[], { timeOutMs?: number, intervalMs?: number }): Promise<Task[]>
client.getIndexes(parameters: IndexesQuery): Promise<IndexesResults<Index[]>>
client.getRawIndexes(parameters: IndexesQuery): Promise<IndexesResults<IndexObject[]>>
client.createIndex<T>(uid: string, options?: IndexOptions): Promise<EnqueuedTask>
client.index<T>(uid: string): Index<T>
client.getIndex<T>(uid: string): Promise<Index<T>>
client.getRawIndex(uid: string): Promise<IndexObject>
client.index('myIndex').getRawInfo(): Promise<IndexObject>
client.updateIndex(uid: string, options: IndexOptions): Promise<EnqueuedTask>
client.index('myIndex').update(data: IndexOptions): Promise<EnqueuedTask>
client.deleteIndex(uid): Promise<void>
client.index('myIndex').delete(): Promise<void>
client.index('myIndex').getStats(): Promise<IndexStats>
client.index('myIndex').fetchInfo(): Promise<Index>
client.index('myIndex').fetchPrimaryKey(): Promise<string | undefined>
client.swapIndexes(params: SwapIndexesParams): Promise<EnqueuedTask>
client.index('myIndex').getSettings(): Promise<Settings>
client.index('myIndex').updateSettings(settings: Settings): Promise<EnqueuedTask>
client.index('myIndex').resetSettings(): Promise<EnqueuedTask>
client.index('myIndex').getPagination(): Promise<PaginationSettings>
client.index('myIndex').updatePagination(pagination: PaginationSettings): Promise<EnqueuedTask>
client.index('myIndex').resetPagination(): Promise<EnqueuedTask>
client.index('myIndex').getSynonyms(): Promise<Synonyms>
client.index('myIndex').updateSynonyms(synonyms: Synonyms): Promise<EnqueuedTask>
client.index('myIndex').resetSynonyms(): Promise<EnqueuedTask>
client.index('myIndex').getStopWords(): Promise<string[]>
client.index('myIndex').updateStopWords(stopWords: string[] | null ): Promise<EnqueuedTask>
client.index('myIndex').resetStopWords(): Promise<EnqueuedTask>
client.index('myIndex').getRankingRules(): Promise<string[]>
client.index('myIndex').updateRankingRules(rankingRules: string[] | null): Promise<EnqueuedTask>
client.index('myIndex').resetRankingRules(): Promise<EnqueuedTask>
client.index('myIndex').getDistinctAttribute(): Promise<string | void>
client.index('myIndex').updateDistinctAttribute(distinctAttribute: string | null): Promise<EnqueuedTask>
client.index('myIndex').resetDistinctAttribute(): Promise<EnqueuedTask>
client.index('myIndex').getSearchableAttributes(): Promise<string[]>
client.index('myIndex').updateSearchableAttributes(searchableAttributes: string[] | null): Promise<EnqueuedTask>
client.index('myIndex').resetSearchableAttributes(): Promise<EnqueuedTask>
client.index('myIndex').getDisplayedAttributes(): Promise<string[]>
client.index('myIndex').updateDisplayedAttributes(displayedAttributes: string[] | null): Promise<EnqueuedTask>
client.index('myIndex').resetDisplayedAttributes(): Promise<EnqueuedTask>
client.index('myIndex').getFilterableAttributes(): Promise<string[]>
client.index('myIndex').updateFilterableAttributes(filterableAttributes: string[] | null): Promise<EnqueuedTask>
client.index('myIndex').resetFilterableAttributes(): Promise<EnqueuedTask>
client.index('myIndex').getSortableAttributes(): Promise<string[]>
client.index('myIndex').updateSortableAttributes(sortableAttributes: string[] | null): Promise<EnqueuedTask>
client.index('myIndex').resetSortableAttributes(): Promise<EnqueuedTask>
client.index('myIndex').getFaceting(): Promise<Faceting>
client.index('myIndex').updateFaceting(faceting: Faceting): Promise<EnqueuedTask>
client.index('myIndex').resetFaceting(): Promise<EnqueuedTask>
client.index('myIndex').getTypoTolerance(): Promise<TypoTolerance>
client.index('myIndex').updateTypoTolerance(typoTolerance: TypoTolerance | null): Promise<EnqueuedTask>
client.index('myIndex').resetTypoTolerance(): Promise<EnqueuedTask>
client.index('myIndex').getSeparatorTokens(): Promise<SeparatorTokens>
client.index('myIndex').updateSeparatorTokens(separatorTokens: SeparatorTokens | null): Promise<EnqueuedTask>
client.index('myIndex').resetSeparatorTokens(): Promise<EnqueuedTask>
client.index('myIndex').getNonSeparatorTokens(): Promise<NonSeparatorTokens>
client.index('myIndex').updateNonSeparatorTokens(nonSeparatorTokens: NonSeparatorTokens | null): Promise<EnqueuedTask>
client.index('myIndex').resetNonSeparatorTokens(): Promise<EnqueuedTask>
client.index('myIndex').getDictionary(): Promise<Dictionary>
client.index('myIndex').updateDictionary(dictionary: Dictionary | null): Promise<EnqueuedTask>
client.index('myIndex').resetDictionary(): Promise<EnqueuedTask>
client.index('myIndex').getProximityPrecision(): Promise<ProximityPrecision>
client.index('myIndex').updateProximityPrecision(proximityPrecision: ProximityPrecision): Promise<EnqueuedTask>
client.index('myIndex').resetProximityPrecision(): Promise<EnqueuedTask>
⚠️ This feature is experimental. Activate the vectorStore experimental feature to use it
client.index('myIndex').getEmbedders(): Promise<Embedders>
client.index('myIndex').updateEmbedders(embedders: Embedders): Promise<EnqueuedTask>
client.index('myIndex').resetEmbedders(): Promise<EnqueuedTask>
client.index('myIndex').getSearchCutoffMs(): Promise<SearchCutoffMs>
client.index('myIndex').updateSearchCutoffMs(searchCutoffMs: SearchCutoffMs): Promise<EnqueuedTask>
client.index('myIndex').resetSearchCutoffMs(): Promise<EnqueuedTask>
client.getKeys(parameters: KeysQuery): Promise<KeysResults>
client.getKey(keyOrUid: string): Promise<Key>
client.createKey(options: KeyCreation): Promise<Key>
client.updateKey(keyOrUid: string, options: KeyUpdate): Promise<Key>
client.deleteKey(keyOrUid: string): Promise<void>
isHealthy true or false depending on the health of the serverclient.isHealthy(): Promise<boolean>
client.health(): Promise<Health>
client.getStats(): Promise<Stats>
client.getVersion(): Promise<Version>
client.createDump(): Promise<EnqueuedTask>
client.createSnapshot(): Promise<EnqueuedTask>
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. For a full overview of everything we create and maintain, take a look at 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. It has 4 open source maintainers collaborating on the project.
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