1 unstable release

0.1.0 Apr 17, 2026

#43 in #vector-embedding


Used in zerch-engine

MIT license

21KB
93 lines

zerch-embed

Local embedding model for generating vector embeddings from text.

Features

  • Downloads and runs sentence-transformers/all-MiniLM-L6-v2 locally
  • ONNX Runtime inference with CUDA support
  • Mean pooling and L2 normalization

Usage

use zerch_embed::LocalEmbedder;

let mut embedder = LocalEmbedder::load()?;
let vector = embedder.embed("your text here")?;

License

MIT

Dependencies

~24–33MB
~551K SLoC