> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-zh.cn/llms.txt
> Use this file to discover all available pages before exploring further.

# Nomic 集成

> 使用 LangChain JavaScript 与 Nomic 嵌入模型进行集成。

`NomicEmbeddings` 类使用 Nomic AI API 为给定文本生成嵌入向量。

## 设置

为了使用 Nomic API，你需要[注册一个 Nomic 账户并创建 API 密钥](https://atlas.nomic.ai/)。

首先需要安装 [`@langchain/nomic`](https://www.npmjs.com/package/@langchain/nomic) 包：

<Tip>
  有关安装 LangChain 包的通用说明，请参阅[此部分](/oss/javascript/langchain/install)。
</Tip>

```bash npm theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
npm install @langchain/nomic @langchain/core
```

## 使用方式

```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
import { NomicEmbeddings } from "@langchain/nomic";

/* 嵌入查询 */
const nomicEmbeddings = new NomicEmbeddings();
const res = await nomicEmbeddings.embedQuery("Hello world");
console.log(res);
/* 嵌入文档 */
const documentRes = await nomicEmbeddings.embedDocuments([
  "Hello world",
  "Bye bye",
]);
console.log(documentRes);
```

## 相关链接

* 嵌入模型[概念指南](/oss/javascript/integrations/embeddings)
* 嵌入模型[操作指南](/oss/javascript/integrations/embeddings)

***

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