Ollama Embedding Function for Chroma

This package provides an Ollama embedding provider for Chroma, allowing you to use locally hosted Ollama models.

Installation

npm install @chroma-core/ollama

Usage

import { ChromaClient } from 'chromadb';
import { OllamaEmbeddingFunction } from '@chroma-core/ollama';

// Initialize the embedder
const embedder = new OllamaEmbeddingFunction({
  url: 'http://localhost:11434', // Default Ollama server URL
  model: 'chroma/all-minilm-l6-v2-f32', // Default model
});

// Create a new ChromaClient
const client = new ChromaClient({
  path: 'http://localhost:8000',
});

// Create a collection with the embedder
const collection = await client.createCollection({
  name: 'my-collection',
  embeddingFunction: embedder,
});

// Add documents
await collection.add({
  ids: ["1", "2", "3"],
  documents: ["Document 1", "Document 2", "Document 3"],
});

// Query documents
const results = await collection.query({
  queryTexts: ["Sample query"],
  nResults: 2,
});

Prerequisites

1. Install Ollama from ollama.ai
2. Start the Ollama server:

   ollama serve

3. Pull an embedding model:

   ollama pull chroma/all-minilm-l6-v2-f32

Configuration Options

• url: Ollama server URL (default: http://localhost:11434)
• model: Model name to use for embeddings (default: chroma/all-minilm-l6-v2-f32)

Supported Models

Popular embedding models available through Ollama:

• chroma/all-minilm-l6-v2-f32 (default, 384 dimensions)
• nomic-embed-text (768 dimensions)
• mxbai-embed-large (1024 dimensions)
• snowflake-arctic-embed

Pull models using:

ollama pull <model-name>

Browser Support

This package works in both Node.js and browser environments, automatically detecting the runtime and using the appropriate Ollama client.