Model2vec-Rs: Fast Static Text Embeddings in Rust
Analysis
This article introduces a new Rust crate, model2vec-rs, for generating text embeddings. The key selling points are its speed, small footprint, and zero Python dependency. The performance comparison with Python highlights the Rust implementation's efficiency. The project is open-source and targets use cases like semantic search and RAG.
Key Takeaways
- •Rust crate for fast text embeddings.
- •Zero Python dependency.
- •High throughput performance compared to Python.
- •Open-source and targets semantic search, retrieval, and RAG.
Reference
“Rust: ~8000 embeddings/sec (~1.7× speedup)”