VectorStoreToolkit 是一个工具包,它接受一个向量存储,并将其转换为一个工具,然后可以调用该工具,传递给 LLM、代理等。设置
如果您想从单个工具的运行中获取自动跟踪,您也可以通过取消注释下方内容来设置您的 LangSmith API 密钥复制
向 AI 提问
process.env.LANGSMITH_TRACING="true"
process.env.LANGSMITH_API_KEY="your-api-key"
安装
此工具包位于langchain 包中
复制
向 AI 提问
npm install langchain @langchain/core
实例化
现在我们可以实例化我们的工具包。首先,我们需要定义我们将在工具包中使用的 LLM。复制
向 AI 提问
// @lc-docs-hide-cell
import { ChatOpenAI } from "@langchain/openai";
const llm = new ChatOpenAI({
model: "gpt-4o-mini",
temperature: 0,
})
复制
向 AI 提问
import { VectorStoreToolkit, VectorStoreInfo } from "@langchain/classic/agents/toolkits"
import { OpenAIEmbeddings } from "@langchain/openai"
import { MemoryVectorStore } from "@langchain/classic/vectorstores/memory"
import { RecursiveCharacterTextSplitter } from "@langchain/textsplitters";
import fs from "fs";
// Load a text file to use as our data source.
const text = fs.readFileSync("../../../../../examples/state_of_the_union.txt", "utf8");
// Split the text into chunks before inserting to our store
const textSplitter = new RecursiveCharacterTextSplitter({ chunkSize: 1000 });
const docs = await textSplitter.createDocuments([text]);
const vectorStore = await MemoryVectorStore.fromDocuments(docs, new OpenAIEmbeddings());
const vectorStoreInfo: VectorStoreInfo = {
name: "state_of_union_address",
description: "the most recent state of the Union address",
vectorStore,
};
const toolkit = new VectorStoreToolkit(vectorStoreInfo, llm);
工具
在这里,我们可以看到它将我们的向量存储转换为一个工具复制
向 AI 提问
const tools = toolkit.getTools();
console.log(tools.map((tool) => ({
name: tool.name,
description: tool.description,
})))
复制
向 AI 提问
[
{
name: 'state_of_union_address',
description: 'Useful for when you need to answer questions about state_of_union_address. Whenever you need information about the most recent state of the Union address you should ALWAYS use this. Input should be a fully formed question.'
}
]
在代理中使用
首先,请确保您已安装 LangGraph复制
向 AI 提问
npm install @langchain/langgraph
复制
向 AI 提问
import { createAgent } from "@langchain/classic"
const agentExecutor = createAgent({ llm, tools });
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向 AI 提问
const exampleQuery = "What did biden say about Ketanji Brown Jackson is the state of the union address?"
const events = await agentExecutor.stream(
{ messages: [["user", exampleQuery]]},
{ streamMode: "values", }
)
for await (const event of events) {
const lastMsg = event.messages[event.messages.length - 1];
if (lastMsg.tool_calls?.length) {
console.dir(lastMsg.tool_calls, { depth: null });
} else if (lastMsg.content) {
console.log(lastMsg.content);
}
}
复制
向 AI 提问
[
{
name: 'state_of_union_address',
args: {
input: 'What did Biden say about Ketanji Brown Jackson in the State of the Union address?'
},
type: 'tool_call',
id: 'call_glJSWLNrftKHa92A6j8x4jhd'
}
]
In the State of the Union address, Biden mentioned that he nominated Circuit Court of Appeals Judge Ketanji Brown Jackson, describing her as one of the nation’s top legal minds who will continue Justice Breyer’s legacy of excellence. He highlighted her background as a former top litigator in private practice, a former federal public defender, and noted that she comes from a family of public school educators and police officers. He also pointed out that she has received a broad range of support since her nomination.
In the State of the Union address, President Biden spoke about Ketanji Brown Jackson, stating that he nominated her as one of the nation’s top legal minds who will continue Justice Breyer’s legacy of excellence. He highlighted her experience as a former top litigator in private practice and a federal public defender, as well as her background coming from a family of public school educators and police officers. Biden also noted that she has received a broad range of support since her nomination.
API 参考
有关所有 VectorStoreToolkit 功能和配置的详细文档,请参阅 API 参考。以编程方式连接这些文档到 Claude、VSCode 等,通过 MCP 获取实时答案。