---
title: Ollama | Developer Documentation
---

To use Ollama embeddings, you need to import `OllamaEmbedding` from `@llamaindex/ollama`.

Note that you need to pull the embedding model first before using it.

In the example below, we’re using the [`nomic-embed-text`](https://ollama.com/library/nomic-embed-text) model, so you have to call:

Terminal window

```
ollama pull nomic-embed-text
```

## Installation

```
npm i llamaindex @llamaindex/ollama
```

```
import { OllamaEmbedding } from "@llamaindex/ollama";
import { Document, Settings, VectorStoreIndex } from "llamaindex";


Settings.embedModel = new OllamaEmbedding({ model: "nomic-embed-text" });


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

- [OllamaEmbedding](/typescript/framework-api-reference/classes/ollamaembedding/index.md)