Ollama

The OllamaEmbeddings class uses the /api/embeddings route of a locally hosted Ollama server to generate embeddings for given texts.

Setup

Follow these instructions to set up and run a local Ollama instance.

tip

See this section for general instructions on installing integration packages.

npm

npm install @langchain/community

Yarn

yarn add @langchain/community

pnpm

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 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);

Related

• Embedding model conceptual guide
• Embedding model how-to guides