FastEmbed-rs provides high-performance vector embedding generation and reranking capabilities in Rust. It leverages ONNX Runtime for efficient model inference and HuggingFace tokenizers for text processing. The library is designed for RAG (Retrieval-Augmented Generation) and vector search applications, supporting models like BAAI/bge and sentence-transformers for embedding generation, plus dedicated reranking models for improved retrieval accuracy.