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

# Nomic integration

> Integrate with the Nomic embedding model using LangChain JavaScript.

The `NomicEmbeddings` class uses the Nomic AI API to generate embeddings for a given text.

## Setup

In order to use the Nomic API you'll need to [sign up for a Nomic account and create an API key](https://atlas.nomic.ai/).

You'll first need to install the [`@langchain/nomic`](https://www.npmjs.com/package/@langchain/nomic) package:

<Tip>
  See [this section for general instructions on installing LangChain packages](/oss/javascript/langchain/install).
</Tip>

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

## Usage

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

/* Embed queries */
const nomicEmbeddings = new NomicEmbeddings();
const res = await nomicEmbeddings.embedQuery("Hello world");
console.log(res);
/* Embed documents */
const documentRes = await nomicEmbeddings.embedDocuments([
  "Hello world",
  "Bye bye",
]);
console.log(documentRes);
```

## Related

* Embedding model [conceptual guide](/oss/javascript/integrations/embeddings)
* Embedding model [how-to guides](/oss/javascript/integrations/embeddings)

***

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