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*   [Components](/v0.1/docs/integrations/components/)
*   [Agents and toolkits](/v0.1/docs/integrations/toolkits/)
*   VectorStore Agent Toolkit

VectorStore Agent Toolkit
=========================

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

This example shows how to load and use an agent with a vectorstore toolkit.

    import { OpenAI, OpenAIEmbeddings } from "@langchain/openai";import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";import * as fs from "fs";import {  VectorStoreToolkit,  createVectorStoreAgent,  VectorStoreInfo,} from "langchain/agents";const model = new OpenAI({ temperature: 0 });/* Load in the file we want to do question answering over */const text = fs.readFileSync("state_of_the_union.txt", "utf8");/* Split the text into chunks using character, not token, size */const textSplitter = new RecursiveCharacterTextSplitter({ chunkSize: 1000 });const docs = await textSplitter.createDocuments([text]);/* Create the vectorstore */const vectorStore = await HNSWLib.fromDocuments(docs, new OpenAIEmbeddings());/* Create the agent */const vectorStoreInfo: VectorStoreInfo = {  name: "state_of_union_address",  description: "the most recent state of the Union address",  vectorStore,};const toolkit = new VectorStoreToolkit(vectorStoreInfo, model);const agent = createVectorStoreAgent(model, toolkit);const input =  "What did biden say about Ketanji Brown Jackson is the state of the union address?";console.log(`Executing: ${input}`);const result = await agent.invoke({ input });console.log(`Got output ${result.output}`);console.log(  `Got intermediate steps ${JSON.stringify(result.intermediateSteps, null, 2)}`);

#### API Reference:

*   [OpenAI](https://api.js.langchain.com/classes/langchain_openai.OpenAI.html) from `@langchain/openai`
*   [OpenAIEmbeddings](https://api.js.langchain.com/classes/langchain_openai.OpenAIEmbeddings.html) from `@langchain/openai`
*   [HNSWLib](https://api.js.langchain.com/classes/langchain_community_vectorstores_hnswlib.HNSWLib.html) from `@langchain/community/vectorstores/hnswlib`
*   [RecursiveCharacterTextSplitter](https://api.js.langchain.com/classes/langchain_textsplitters.RecursiveCharacterTextSplitter.html) from `langchain/text_splitter`
*   [VectorStoreToolkit](https://api.js.langchain.com/classes/langchain_agents.VectorStoreToolkit.html) from `langchain/agents`
*   [createVectorStoreAgent](https://api.js.langchain.com/functions/langchain_agents.createVectorStoreAgent.html) from `langchain/agents`
*   [VectorStoreInfo](https://api.js.langchain.com/interfaces/langchain_agents.VectorStoreInfo.html) from `langchain/agents`

* * *

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

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