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*   CloseVector

On this page

CloseVector
===========

Compatibility

available on both browser and Node.js

[CloseVector](https://closevector.getmegaportal.com/) is a cross-platform vector database that can run in both the browser and Node.js. For example, you can create your index on Node.js and then load/query it on browser. For more information, please visit [CloseVector Docs](https://closevector-docs.getmegaportal.com/).

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

### CloseVector Web[​](#closevector-web "Direct link to CloseVector Web")

*   npm
*   Yarn
*   pnpm

    npm install -S closevector-web

    yarn add closevector-web

    pnpm add closevector-web

### CloseVector Node[​](#closevector-node "Direct link to CloseVector Node")

*   npm
*   Yarn
*   pnpm

    npm install -S closevector-node

    yarn add closevector-node

    pnpm add closevector-node

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")

    // If you want to import the browser version, use the following line instead:// import { CloseVectorWeb } from "@langchain/community/vectorstores/closevector/web";import { CloseVectorNode } from "@langchain/community/vectorstores/closevector/node";import { OpenAIEmbeddings } from "@langchain/openai";export const run = async () => {  // If you want to import the browser version, use the following line instead:  // const vectorStore = await CloseVectorWeb.fromTexts(  const vectorStore = await CloseVectorNode.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:

*   [CloseVectorNode](https://api.js.langchain.com/classes/langchain_community_vectorstores_closevector_node.CloseVectorNode.html) from `@langchain/community/vectorstores/closevector/node`
*   [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")

    // If you want to import the browser version, use the following line instead:// import { CloseVectorWeb } from "@langchain/community/vectorstores/closevector/web";import { CloseVectorNode } from "@langchain/community/vectorstores/closevector/node";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 store// If you want to import the browser version, use the following line instead:// const vectorStore = await CloseVectorWeb.fromDocuments(const vectorStore = await CloseVectorNode.fromDocuments(  docs,  new OpenAIEmbeddings());// Search for the most similar documentconst resultOne = await vectorStore.similaritySearch("hello world", 1);console.log(resultOne);

#### API Reference:

*   [CloseVectorNode](https://api.js.langchain.com/classes/langchain_community_vectorstores_closevector_node.CloseVectorNode.html) from `@langchain/community/vectorstores/closevector/node`
*   [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`

### Save an index to CloseVector CDN and load it again[​](#save-an-index-to-closevector-cdn-and-load-it-again "Direct link to Save an index to CloseVector CDN and load it again")

CloseVector supports saving/loading indexes to/from cloud. To use this feature, you need to create an account on [CloseVector](https://closevector.getmegaportal.com/). Please read [CloseVector Docs](https://closevector-docs.getmegaportal.com/) and generate your API key first by [loging in](https://closevector.getmegaportal.com/).

    // If you want to import the browser version, use the following line instead:// import { CloseVectorWeb } from "@langchain/community/vectorstores/closevector/web";import { CloseVectorNode } from "@langchain/community/vectorstores/closevector/node";import { CloseVectorWeb } from "@langchain/community/vectorstores/closevector/web";import { OpenAIEmbeddings } from "@langchain/openai";// Create a vector store through any method, here from texts as an example// If you want to import the browser version, use the following line instead:// const vectorStore = await CloseVectorWeb.fromTexts(const vectorStore = await CloseVectorNode.fromTexts(  ["Hello world", "Bye bye", "hello nice world"],  [{ id: 2 }, { id: 1 }, { id: 3 }],  new OpenAIEmbeddings(),  undefined,  {    key: "your access key",    secret: "your secret",  });// Save the vector store to cloudawait vectorStore.saveToCloud({  description: "example",  public: true,});const { uuid } = vectorStore.instance;// Load the vector store from cloud// const loadedVectorStore = await CloseVectorWeb.load(const loadedVectorStore = await CloseVectorNode.loadFromCloud({  uuid,  embeddings: new OpenAIEmbeddings(),  credentials: {    key: "your access key",    secret: "your secret",  },});// If you want to import the node version, use the following lines instead:// const loadedVectorStoreOnNode = await CloseVectorNode.loadFromCloud({//   uuid,//   embeddings: new OpenAIEmbeddings(),//   credentials: {//     key: "your access key",//     secret: "your secret"//   }// });const loadedVectorStoreOnBrowser = await CloseVectorWeb.loadFromCloud({  uuid,  embeddings: new OpenAIEmbeddings(),  credentials: {    key: "your access key",    secret: "your secret",  },});// vectorStore and loadedVectorStore are identicalconst result = await loadedVectorStore.similaritySearch("hello world", 1);console.log(result);// orconst resultOnBrowser = await loadedVectorStoreOnBrowser.similaritySearch(  "hello world",  1);console.log(resultOnBrowser);

#### API Reference:

*   [CloseVectorNode](https://api.js.langchain.com/classes/langchain_community_vectorstores_closevector_node.CloseVectorNode.html) from `@langchain/community/vectorstores/closevector/node`
*   [CloseVectorWeb](https://api.js.langchain.com/classes/langchain_community_vectorstores_closevector_web.CloseVectorWeb.html) from `@langchain/community/vectorstores/closevector/web`
*   [OpenAIEmbeddings](https://api.js.langchain.com/classes/langchain_openai.OpenAIEmbeddings.html) from `@langchain/openai`

### Save an index to file and load it again[​](#save-an-index-to-file-and-load-it-again "Direct link to Save an index to file and load it again")

    // If you want to import the browser version, use the following line instead:// import { CloseVectorWeb } from "@langchain/community/vectorstores/closevector/web";import { CloseVectorNode } from "@langchain/community/vectorstores/closevector/node";import { OpenAIEmbeddings } from "@langchain/openai";// Create a vector store through any method, here from texts as an example// If you want to import the browser version, use the following line instead:// const vectorStore = await CloseVectorWeb.fromTexts(const vectorStore = await CloseVectorNode.fromTexts(  ["Hello world", "Bye bye", "hello nice world"],  [{ id: 2 }, { id: 1 }, { id: 3 }],  new OpenAIEmbeddings());// Save the vector store to a directoryconst directory = "your/directory/here";await vectorStore.save(directory);// Load the vector store from the same directory// If you want to import the browser version, use the following line instead:// const loadedVectorStore = await CloseVectorWeb.load(const loadedVectorStore = await CloseVectorNode.load(  directory,  new OpenAIEmbeddings());// vectorStore and loadedVectorStore are identicalconst result = await loadedVectorStore.similaritySearch("hello world", 1);console.log(result);

#### API Reference:

*   [CloseVectorNode](https://api.js.langchain.com/classes/langchain_community_vectorstores_closevector_node.CloseVectorNode.html) from `@langchain/community/vectorstores/closevector/node`
*   [OpenAIEmbeddings](https://api.js.langchain.com/classes/langchain_openai.OpenAIEmbeddings.html) from `@langchain/openai`

* * *

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

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](/v0.1/docs/integrations/vectorstores/cloudflare_vectorize/)

*   [Setup](#setup)
    *   [CloseVector Web](#closevector-web)
    *   [CloseVector Node](#closevector-node)
*   [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)
    *   [Save an index to CloseVector CDN and load it again](#save-an-index-to-closevector-cdn-and-load-it-again)
    *   [Save an index to file and load it again](#save-an-index-to-file-and-load-it-again)

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