AI Infrastructure · GitHub ·349 ★

mlx-embeddings

MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.

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Details

Author
Blaizzy
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
python
Stars
349
First indexed
2026-05-15
Last active
2026-03-24
Directory sync
2026-05-15
@Blaizzy

Overview

MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.

Quick start

git

git clone https://github.com/Blaizzy/mlx-embeddings

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What mlx-embeddings can do

ragllmembedding
  • Rag — Retrieves grounded context before answering.
  • Llm — llm task automation.
  • Embedding — Computes vector embeddings for semantic search.

Frequently asked questions

What is mlx-embeddings?
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
How do I install mlx-embeddings?
Use git: `git clone https://github.com/Blaizzy/mlx-embeddings`. Full setup details on the source page linked above.
Is mlx-embeddings open source?
mlx-embeddings is published on GitHub.
What are alternatives to mlx-embeddings?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for mlx-embeddings is sourced from GitHub, published by Blaizzy.

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