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*   Voy

On this page

Voy
===

[Voy](https://github.com/tantaraio/voy) is a WASM vector similarity search engine written in Rust. It's supported in non-Node environments like browsers. You can use Voy as a vector store with LangChain.js.

### Install Voy[​](#install-voy "Direct link to Install Voy")

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 voy-search @langchain/community

    yarn add @langchain/openai voy-search @langchain/community

    pnpm add @langchain/openai voy-search @langchain/community

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

    import { VoyVectorStore } from "@langchain/community/vectorstores/voy";import { Voy as VoyClient } from "voy-search";import { OpenAIEmbeddings } from "@langchain/openai";import { Document } from "@langchain/core/documents";// Create Voy client using the library.const voyClient = new VoyClient();// Create embeddingsconst embeddings = new OpenAIEmbeddings();// Create the Voy store.const store = new VoyVectorStore(voyClient, embeddings);// Add two documents with some metadata.await store.addDocuments([  new Document({    pageContent: "How has life been treating you?",    metadata: {      foo: "Mike",    },  }),  new Document({    pageContent: "And I took it personally...",    metadata: {      foo: "Testing",    },  }),]);const model = new OpenAIEmbeddings();const query = await model.embedQuery("And I took it personally");// Perform a similarity search.const resultsWithScore = await store.similaritySearchVectorWithScore(query, 1);// Print the results.console.log(JSON.stringify(resultsWithScore, null, 2));/*  [    [      {        "pageContent": "And I took it personally...",        "metadata": {          "foo": "Testing"        }      },      0    ]  ]*/

#### API Reference:

*   [VoyVectorStore](https://api.js.langchain.com/classes/langchain_community_vectorstores_voy.VoyVectorStore.html) from `@langchain/community/vectorstores/voy`
*   [OpenAIEmbeddings](https://api.js.langchain.com/classes/langchain_openai.OpenAIEmbeddings.html) from `@langchain/openai`
*   [Document](https://api.js.langchain.com/classes/langchain_core_documents.Document.html) from `@langchain/core/documents`

* * *

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

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*   [Install Voy](#install-voy)
*   [Usage](#usage)

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