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*   USearch

On this page

USearch
=======

Compatibility

Only available on Node.js.

[USearch](https://github.com/unum-cloud/usearch) is a library for efficient similarity search and clustering of dense vectors.

Setup[​](#setup "Direct link to Setup")
---------------------------------------

Install the [usearch](https://github.com/unum-cloud/usearch/tree/main/javascript) package, which is a Node.js binding for [USearch](https://github.com/unum-cloud/usearch).

*   npm
*   Yarn
*   pnpm

    npm install -S usearch

    yarn add usearch

    pnpm add usearch

tip

See [this section for general instructions on installing integration packages](/v0.1/docs/get_started/installation/#installing-integration-packages).

*   npm
*   Yarn
*   pnpm

    npm install @langchain/openai @langchain/community

    yarn add @langchain/openai @langchain/community

    pnpm add @langchain/openai @langchain/community

Usage[​](#usage "Direct link to Usage")
---------------------------------------

### Create a new index from texts[​](#create-a-new-index-from-texts "Direct link to Create a new index from texts")

    import { USearch } from "@langchain/community/vectorstores/usearch";import { OpenAIEmbeddings } from "@langchain/openai";const vectorStore = await USearch.fromTexts(  ["Hello world", "Bye bye", "hello nice world"],  [{ id: 2 }, { id: 1 }, { id: 3 }],  new OpenAIEmbeddings());const resultOne = await vectorStore.similaritySearch("hello world", 1);console.log(resultOne);

#### API Reference:

*   [USearch](https://api.js.langchain.com/classes/langchain_community_vectorstores_usearch.USearch.html) from `@langchain/community/vectorstores/usearch`
*   [OpenAIEmbeddings](https://api.js.langchain.com/classes/langchain_openai.OpenAIEmbeddings.html) from `@langchain/openai`

### Create a new index from a loader[​](#create-a-new-index-from-a-loader "Direct link to Create a new index from a loader")

    import { USearch } from "@langchain/community/vectorstores/usearch";import { OpenAIEmbeddings } from "@langchain/openai";import { TextLoader } from "langchain/document_loaders/fs/text";// Create docs with a loaderconst loader = new TextLoader("src/document_loaders/example_data/example.txt");const docs = await loader.load();// Load the docs into the vector storeconst vectorStore = await USearch.fromDocuments(docs, new OpenAIEmbeddings());// Search for the most similar documentconst resultOne = await vectorStore.similaritySearch("hello world", 1);console.log(resultOne);

#### API Reference:

*   [USearch](https://api.js.langchain.com/classes/langchain_community_vectorstores_usearch.USearch.html) from `@langchain/community/vectorstores/usearch`
*   [OpenAIEmbeddings](https://api.js.langchain.com/classes/langchain_openai.OpenAIEmbeddings.html) from `@langchain/openai`
*   [TextLoader](https://api.js.langchain.com/classes/langchain_document_loaders_fs_text.TextLoader.html) from `langchain/document_loaders/fs/text`

* * *

#### Help us out by providing feedback on this documentation page:

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*   [Setup](#setup)
*   [Usage](#usage)
    *   [Create a new index from texts](#create-a-new-index-from-texts)
    *   [Create a new index from a loader](#create-a-new-index-from-a-loader)

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