Embedding

De-facto standard Python library for computing sentence, paragraph, and image embeddings — wraps Hugging Face transformer models with a simple `encode()` API.

Lightweight ONNX-based embedding library by Qdrant — runs on CPU with no PyTorch dependency, designed for fast batch inference in production RAG pipelines.

Distillation framework that turns any sentence-transformer into a static word embedding model — 500x smaller and 500x faster than the teacher with minimal quality loss.

Embedding and reranking library from BAAI — home of the BGE family of state-of-the-art retrieval models with multilingual, multimodal, and long-context variants.