FastEmbed generates state-of-the-art text embeddings without requiring GPU or large PyTorch dependencies. It uses the ONNX Runtime for fast, accurate inference and supports popular embedding models including Flag Embedding, which ranks on the MTEB leaderboard. The library provides both query and passage prefixes for retrieval tasks and integrates with vector databases like Qdrant for RAG workflows.