---
title: MistralAI | Developer Documentation
---

To use MistralAI embeddings, you need to import `MistralAIEmbedding` from `@llamaindex/mistral`.

## Installation

```
npm i llamaindex @llamaindex/mistral
```

```
import { Document, Settings, VectorStoreIndex } from "llamaindex";
import { MistralAIEmbedding } from "@llamaindex/mistral";


// Update Embed Model
Settings.embedModel = new MistralAIEmbedding({
  apiKey: "<YOUR_API_KEY>",
});


const document = new Document({ text: essay, id_: "essay" });


const index = await VectorStoreIndex.fromDocuments([document]);


const queryEngine = index.asQueryEngine();


const query = "What is the meaning of life?";


const results = await queryEngine.query({
  query,
});
```

## API Reference

- [MistralAIEmbedding](/typescript/framework-api-reference/classes/mistralaiembedding/index.md)