mlx-embeddings
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
Create and compare text and image embeddings on your Mac using various models.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeMLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
mlx-embeddings has 418 stars on GitHub. It has been forked 57 times. mlx-embeddings is written mainly in Python. It has been in active development since 2024. Its main topics are chatbot, embeddings, llms, rag.
What is mlx-embeddings?
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
Is mlx-embeddings open source?
mlx-embeddings is an open-source project.
Is mlx-embeddings free?
Yes. mlx-embeddings is free and open source — you can use, modify and self-host it.
What language is mlx-embeddings written in?
mlx-embeddings is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/blaizzy-mlx-embeddings.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.