mixedbread-ai-provider
v1.0.2
Published
Mixedbread AI Provider for running Mixedbread AI models with Vercel AI SDK
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AI SDK - Mixedbread AI Provider
Introduction
The Mixedbread AI Provider is a provider for the AI SDK. It provides a simple interface to the Mixedbread AI API.
Installation
npm install mixedbread-ai-provider
# or
yarn add mixedbread-ai-provider
# or
pnpm add mixedbread-ai-provider
# or
bun add mixedbread-ai-provider
Configuration
The Mixedbread AI Provider requires an API key to be configured. You can obtain an API key by signing up at Mixedbread.
add the following to your .env
file:
MIXEDBREAD_API_KEY=your-api-key
Usage
import { mixedbread } from 'mixedbread-ai-provider';
import { embedMany } from 'ai';
const embeddingModel = mixedbread.textEmbeddingModel(
'mixedbread-ai/mxbai-embed-large-v1',
);
export const generateEmbeddings = async (
value: string,
): Promise<Array<{ embedding: number[]; content: string }>> => {
// Generate chunks from the input value
const chunks = value.split('\n');
// Optional: You can also split the input value by comma
// const chunks = value.split('.');
// Or you can use LLM to generate chunks(summarize) from the input value
const { embeddings } = await embedMany({
model: embeddingModel,
values: chunks,
});
return embeddings.map((e, i) => ({ content: chunks[i], embedding: e }));
};
Add settings to the model
The settings object should contain the settings you want to add to the model. You can find the available settings for the model in the Mixedbread API documentation: https://www.mixedbread.ai/api-reference/endpoints/embeddings
const mixedbread = createMixedbread({
apiKey: process.env.MIXEDBREAD_API_KEY,
});
// Initialize the embedding model
const embeddingModel = mixedbread.textEmbeddingModel(
'mixedbread-ai/mxbai-embed-large-v1',
// adding settings
{
prompt: 'Generate embeddings for text', // Max 256 characters
normalized: true,
dimensions: 768, // Max model dimensions
truncationStrategy: 'end',
},
);