Meilisearch JavaScript is the Meilisearch API client for JavaScript developers.

Meilisearch is an open-source search engine. Learn more about Meilisearch.

Table of Contents

• 📖 Documentation
• ⚡ Supercharge your Meilisearch experience
• 🔧 Installation
• 🎬 Getting started
• 🤖 Compatibility with Meilisearch
• 💡 Learn more
• ⚙️ Contributing
• 📜 API resources

📖 Documentation

This readme and Meilisearch JS documentation website contains all the information 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.

⚡ Supercharge your Meilisearch experience

Say goodbye to server deployment and manual updates with Meilisearch Cloud. Get started with a 14-day free trial! No credit card required.

🔧 Installation

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.

Run Meilisearch

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.

Import

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',
})

React Native

To use meilisearch-js with React Native, you must also install react-native-url-polyfill.

Deno

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',
})

🎬 Getting started

Add documents

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.

Basic search

// 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"
}

Using search parameters

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"
}

Custom search with filters

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

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.

Abortable search

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()

Using Meilisearch behind a proxy

Custom request config

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'
  }
})

Custom http client

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
  }
})

🤖 Compatibility with Meilisearch

This package guarantees compatibility with version v1.x of Meilisearch, but some features may not be present. Please check the issues for more info.

💡 Learn more

The following sections in our main documentation website 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.

This repository also contains more examples.

⚙️ Contributing

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.

📜 API resources

Search

Make a search request

client.index<T>('xxx').search(query: string, options: SearchParams = {}, config?: Partial<Request>): Promise<SearchResponse<T>>

Make a search request using the GET method (slower than the search method)

client.index<T>('xxx').searchGet(query: string, options: SearchParams = {}, config?: Partial<Request>): Promise<SearchResponse<T>>

Multi Search

Make multiple search requests

client.multiSearch(queries?: MultiSearchParams, config?: Partial<Request>): Promise<Promise<MultiSearchResponse<T>>>

multiSearch uses the POST method when performing its request to Meilisearch.

Search For Facet Values

Search for facet values

client.index<T>('myIndex').searchForFacetValues(params: SearchForFacetValuesParams, config?: Partial<Request>): Promise<SearchForFacetValuesResponse>

Documents

Add or replace multiple documents

client.index('myIndex').addDocuments(documents: Document<T>[]): Promise<EnqueuedTask>

Add or replace multiple documents in string format

client.index('myIndex').addDocumentsFromString(documents: string, contentType: ContentType, queryParams: RawDocumentAdditionOptions): Promise<EnqueuedTask>

Add or replace multiple documents in batches

client.index('myIndex').addDocumentsInBatches(documents: Document<T>[], batchSize = 1000): Promise<EnqueuedTask[]>

Add or update multiple documents

client.index('myIndex').updateDocuments(documents: Array<Document<Partial<T>>>): Promise<EnqueuedTask>

Add or update multiple documents in string format

client.index('myIndex').updateDocumentsFromString(documents: string, contentType: ContentType, queryParams: RawDocumentAdditionOptions): Promise<EnqueuedTask>

Add or update multiple documents in batches

client.index('myIndex').updateDocumentsInBatches(documents: Array<Document<Partial<T>>>, batchSize = 1000): Promise<EnqueuedTask[]>

Get Documents

client.index.getDocuments(parameters: DocumentsQuery = {}): Promise<DocumentsResults<T>>>

Get one document

client.index('myIndex').getDocument(documentId: string): Promise<Document<T>>

Delete one document

client.index('myIndex').deleteDocument(documentId: string | number): Promise<EnqueuedTask>

Delete multiple documents

client.index('myIndex').deleteDocuments(params: DocumentsDeletionQuery | DocumentsIds): Promise<EnqueuedTask>

Delete all documents

client.index('myIndex').deleteAllDocuments(): Promise<Types.EnqueuedTask>

Tasks

Get all tasks

client.getTasks(parameters: TasksQuery): Promise<TasksResults>

Get one task

client.getTask(uid: number): Promise<Task>

Delete tasks

client.deleteTasks(parameters: DeleteTasksQuery = {}): Promise<EnqueuedTask>

Cancel tasks

client.cancelTasks(parameters: CancelTasksQuery = {}): Promise<EnqueuedTask>

Get all tasks of an index

client.index('myIndex').getTasks(parameters: TasksQuery): Promise<TasksResults>

Get one task of an index

client.index('myIndex').getTask(uid: number): Promise<Task>

Wait for one task

Using the client

client.waitForTask(uid: number, { timeOutMs?: number, intervalMs?: number }): Promise<Task>

Using the index

client.index('myIndex').waitForTask(uid: number, { timeOutMs?: number, intervalMs?: number }): Promise<Task>

Wait for multiple tasks

Using the client

client.waitForTasks(uids: number[], { timeOutMs?: number, intervalMs?: number }): Promise<Task[]>

Using the index

client.index('myIndex').waitForTasks(uids: number[], { timeOutMs?: number, intervalMs?: number }): Promise<Task[]>

Indexes

Get all indexes in Index instances

client.getIndexes(parameters: IndexesQuery): Promise<IndexesResults<Index[]>>

Get all indexes

client.getRawIndexes(parameters: IndexesQuery): Promise<IndexesResults<IndexObject[]>>

Create a new index

client.createIndex<T>(uid: string, options?: IndexOptions): Promise<EnqueuedTask>

Create a local reference to an index

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<IndexObject>

Get an object with information about the index

client.index('myIndex').getRawInfo(): Promise<IndexObject>

Update Index

Using the client

client.updateIndex(uid: string, options: IndexOptions): Promise<EnqueuedTask>

Using the index object

client.index('myIndex').update(data: IndexOptions): Promise<EnqueuedTask>

Delete index

Using the client

client.deleteIndex(uid): Promise<void>

Using the index object

client.index('myIndex').delete(): Promise<void>

Get specific index stats

client.index('myIndex').getStats(): Promise<IndexStats>

Return Index instance with updated information

client.index('myIndex').fetchInfo(): Promise<Index>

Get Primary Key of an Index

client.index('myIndex').fetchPrimaryKey(): Promise<string | undefined>

Swap two indexes

client.swapIndexes(params: SwapIndexesParams): Promise<EnqueuedTask>

Settings

Get settings

client.index('myIndex').getSettings(): Promise<Settings>

Update settings

client.index('myIndex').updateSettings(settings: Settings): Promise<EnqueuedTask>

Reset settings

client.index('myIndex').resetSettings(): Promise<EnqueuedTask>

Pagination Settings

Get pagination

client.index('myIndex').getPagination(): Promise<PaginationSettings>

Update pagination

client.index('myIndex').updatePagination(pagination: PaginationSettings): Promise<EnqueuedTask>

Reset pagination

client.index('myIndex').resetPagination(): Promise<EnqueuedTask>

Synonyms

Get synonyms

client.index('myIndex').getSynonyms(): Promise<Synonyms>

Update synonyms

client.index('myIndex').updateSynonyms(synonyms: Synonyms): Promise<EnqueuedTask>

Reset synonyms

client.index('myIndex').resetSynonyms(): Promise<EnqueuedTask>

Stop words

Get stop words

client.index('myIndex').getStopWords(): Promise<string[]>

Update stop words

client.index('myIndex').updateStopWords(stopWords: string[] | null ): Promise<EnqueuedTask>

Reset stop words

client.index('myIndex').resetStopWords(): Promise<EnqueuedTask>

Ranking rules

Get ranking rules

client.index('myIndex').getRankingRules(): Promise<string[]>

Update ranking rules

client.index('myIndex').updateRankingRules(rankingRules: string[] | null): Promise<EnqueuedTask>

Reset ranking rules

client.index('myIndex').resetRankingRules(): Promise<EnqueuedTask>

Distinct Attribute

Get distinct attribute

client.index('myIndex').getDistinctAttribute(): Promise<string | void>

Update distinct attribute

client.index('myIndex').updateDistinctAttribute(distinctAttribute: string | null): Promise<EnqueuedTask>

Reset distinct attribute

client.index('myIndex').resetDistinctAttribute(): Promise<EnqueuedTask>

Searchable attributes

Get searchable attributes

client.index('myIndex').getSearchableAttributes(): Promise<string[]>

Update searchable attributes

client.index('myIndex').updateSearchableAttributes(searchableAttributes: string[] | null): Promise<EnqueuedTask>

Reset searchable attributes

client.index('myIndex').resetSearchableAttributes(): Promise<EnqueuedTask>

Displayed attributes

Get displayed attributes

client.index('myIndex').getDisplayedAttributes(): Promise<string[]>

Update displayed attributes

client.index('myIndex').updateDisplayedAttributes(displayedAttributes: string[] | null): Promise<EnqueuedTask>

Reset displayed attributes

client.index('myIndex').resetDisplayedAttributes(): Promise<EnqueuedTask>

Filterable attributes

Get filterable attributes

client.index('myIndex').getFilterableAttributes(): Promise<string[]>

Update filterable attributes

client.index('myIndex').updateFilterableAttributes(filterableAttributes: string[] | null): Promise<EnqueuedTask>

Reset filterable attributes

client.index('myIndex').resetFilterableAttributes(): Promise<EnqueuedTask>

Sortable attributes

Get sortable attributes

client.index('myIndex').getSortableAttributes(): Promise<string[]>

Update sortable attributes

client.index('myIndex').updateSortableAttributes(sortableAttributes: string[] | null): Promise<EnqueuedTask>

Reset sortable attributes

client.index('myIndex').resetSortableAttributes(): Promise<EnqueuedTask>

Faceting

Get faceting

client.index('myIndex').getFaceting(): Promise<Faceting>

Update faceting

client.index('myIndex').updateFaceting(faceting: Faceting): Promise<EnqueuedTask>

Reset faceting

client.index('myIndex').resetFaceting(): Promise<EnqueuedTask>

Typo tolerance

Get typo tolerance

client.index('myIndex').getTypoTolerance(): Promise<TypoTolerance>

Update typo tolerance

client.index('myIndex').updateTypoTolerance(typoTolerance: TypoTolerance | null): Promise<EnqueuedTask>

Reset typo tolerance

client.index('myIndex').resetTypoTolerance(): Promise<EnqueuedTask>

Separator tokens

Get separator tokens

client.index('myIndex').getSeparatorTokens(): Promise<SeparatorTokens>

Update separator tokens

client.index('myIndex').updateSeparatorTokens(separatorTokens: SeparatorTokens | null): Promise<EnqueuedTask>

Reset separator tokens

client.index('myIndex').resetSeparatorTokens(): Promise<EnqueuedTask>

Non Separator tokens

Get non separator tokens

client.index('myIndex').getNonSeparatorTokens(): Promise<NonSeparatorTokens>

Update non separator tokens

client.index('myIndex').updateNonSeparatorTokens(nonSeparatorTokens: NonSeparatorTokens | null): Promise<EnqueuedTask>

Reset non separator tokens

client.index('myIndex').resetNonSeparatorTokens(): Promise<EnqueuedTask>

Dictionary

Get dictionary

client.index('myIndex').getDictionary(): Promise<Dictionary>

Update dictionary

client.index('myIndex').updateDictionary(dictionary: Dictionary | null): Promise<EnqueuedTask>

Reset dictionary

client.index('myIndex').resetDictionary(): Promise<EnqueuedTask>

Proximity Precision

Get proximity precision

client.index('myIndex').getProximityPrecision(): Promise<ProximityPrecision>

Update proximity precision

client.index('myIndex').updateProximityPrecision(proximityPrecision: ProximityPrecision): Promise<EnqueuedTask>

Reset proximity precision

client.index('myIndex').resetProximityPrecision(): Promise<EnqueuedTask>

Embedders

⚠️ This feature is experimental. Activate the vectorStore experimental feature to use it

Get embedders

client.index('myIndex').getEmbedders(): Promise<Embedders>

Update embedders

client.index('myIndex').updateEmbedders(embedders: Embedders): Promise<EnqueuedTask>

Reset embedders

client.index('myIndex').resetEmbedders(): Promise<EnqueuedTask>

SearchCutoffMs

Get SearchCutoffMs

client.index('myIndex').getSearchCutoffMs(): Promise<SearchCutoffMs>

Update SearchCutoffMs

client.index('myIndex').updateSearchCutoffMs(searchCutoffMs: SearchCutoffMs): Promise<EnqueuedTask>

Reset SearchCutoffMs

client.index('myIndex').resetSearchCutoffMs(): Promise<EnqueuedTask>

Keys

Get keys

client.getKeys(parameters: KeysQuery): Promise<KeysResults>

Get one key

client.getKey(keyOrUid: string): Promise<Key>

Create a key

client.createKey(options: KeyCreation): Promise<Key>

Update a key

client.updateKey(keyOrUid: string, options: KeyUpdate): Promise<Key>

Delete a key

client.deleteKey(keyOrUid: string): Promise<void>

isHealthy

Return true or false depending on the health of the server

client.isHealthy(): Promise<boolean>

Health

Check if the server is healthy

client.health(): Promise<Health>

Stats

Get database stats

client.getStats(): Promise<Stats>

Version

Get binary version

client.getVersion(): Promise<Version>

Dumps

Trigger a dump creation process

client.createDump(): Promise<EnqueuedTask>

Snapshots

Trigger a snapshot on-demand process

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.