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*   Ollama

Ollama
======

The `OllamaEmbeddings` class uses the `/api/embeddings` route of a locally hosted [Ollama](https://ollama.ai) server to generate embeddings for given texts.

Setup
=====

Follow [these instructions](https://github.com/jmorganca/ollama) to set up and run a local Ollama instance.

tip

See [this section for general instructions on installing integration packages](/v0.2/docs/how_to/installation#installing-integration-packages).

*   npm
*   Yarn
*   pnpm

    npm install @langchain/community

    yarn add @langchain/community

    pnpm add @langchain/community

Usage
=====

Basic usage:

    import { OllamaEmbeddings } from "@langchain/community/embeddings/ollama";const embeddings = new OllamaEmbeddings({  model: "llama2", // default value  baseUrl: "http://localhost:11434", // default value});

Ollama [model parameters](https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values) are also supported:

    import { OllamaEmbeddings } from "@langchain/community/embeddings/ollama";const embeddings = new OllamaEmbeddings({  model: "llama2", // default value  baseUrl: "http://localhost:11434", // default value  requestOptions: {    useMMap: true, // use_mmap 1    numThread: 6, // num_thread 6    numGpu: 1, // num_gpu 1  },});

Example usage:
==============

    import { OllamaEmbeddings } from "@langchain/community/embeddings/ollama";const embeddings = new OllamaEmbeddings({  model: "llama2", // default value  baseUrl: "http://localhost:11434", // default value  requestOptions: {    useMMap: true,    numThread: 6,    numGpu: 1,  },});const documents = ["Hello World!", "Bye Bye"];const documentEmbeddings = await embeddings.embedDocuments(documents);console.log(documentEmbeddings);

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