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

## Installation

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

## Usage

```
import { Ollama } from "@llamaindex/ollama";
import { Settings } from "llamaindex";


Settings.llm = ollamaLLM;
Settings.embedModel = ollamaLLM;
```

## Load and index documents

For this example, we will use a single document. In a real-world scenario, you would have multiple documents to index.

```
import { Document, VectorStoreIndex } from "llamaindex";


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


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

## Query

```
const queryEngine = index.asQueryEngine();


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


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

## Using JSON Response Format

You can configure Ollama to return responses in JSON format:

```
import { Ollama } from "@llamaindex/llms/ollama";
import { z } from "zod";


// Simple JSON format
const llm = new Ollama({
  model: "llama2",
  temperature: 0,
  responseFormat: { type: "json_object" }
});


// Using Zod schema for validation
const responseSchema = z.object({
  summary: z.string(),
  topics: z.array(z.string()),
  sentiment: z.enum(["positive", "negative", "neutral"])
});


const llm = new Ollama({
  model: "llama2",
  temperature: 0,
  responseFormat: responseSchema
});
```

## Full Example

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


import fs from "fs/promises";


const ollama = new Ollama({ model: "llama2", temperature: 0.75 });


// Use Ollama LLM and Embed Model
Settings.llm = ollama;
Settings.embedModel = ollama;


async function main() {
  const essay = await fs.readFile("./paul_graham_essay.txt", "utf-8");


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


  // Load and index documents
  const index = await VectorStoreIndex.fromDocuments([document]);


  // get retriever
  const retriever = index.asRetriever();


  // Create a query engine
  const queryEngine = index.asQueryEngine({
    retriever,
  });


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


  // Query
  const response = await queryEngine.query({
    query,
  });


  // Log the response
  console.log(response.response);
}
```

## API Reference

- [Ollama](/typescript/framework-api-reference/classes/ollama/index.md)