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Embedding model serving for Zeta MLX

Project description

zeta-mlx-embedding

Embedding model serving for Zeta MLX platform.

Installation

pip install zeta-mlx-embedding

Features

  • OpenAI Compatible: /v1/embeddings endpoint
  • Multilingual: BGE-M3, E5-Large support
  • High Dimension: 1024-dimensional embeddings

Supported Models

Model Dimension Description
bge-m3 1024 Korean/English optimized
multilingual-e5-large 1024 Multilingual
all-MiniLM-L6-v2 384 Lightweight

Usage

from zeta_mlx.embedding import EmbeddingEngine

engine = EmbeddingEngine("BAAI/bge-m3")
embeddings = engine.embed(["Hello", "안녕하세요"])

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