---
title: Gemini | Developer Documentation
---

To use Gemini embeddings, you need to import `GeminiEmbedding` from `@llamaindex/google`.

## Installation

```
npm i llamaindex @llamaindex/google
```

```
import { Document, Settings, VectorStoreIndex } from "llamaindex";
import { GeminiEmbedding, GEMINI_MODEL } from "@llamaindex/google";


// Update Embed Model
Settings.embedModel = new GeminiEmbedding();


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,
});
```

Per default, `GeminiEmbedding` is using the `gemini-pro` model. You can change the model by passing the `model` parameter to the constructor. For example:

```
import { GEMINI_MODEL, GeminiEmbedding } from "@llamaindex/google";


Settings.embedModel = new GeminiEmbedding({
  model: GEMINI_MODEL.GEMINI_PRO_LATEST,
});
```

## API Reference

- [GeminiEmbedding](/typescript/framework-api-reference/classes/geminiembedding/index.md)