iohann.s.titov@gmail.com Ivan S. Titov Sentence-Transformers (SBERT) provides sentence, image, and code embeddings via Transformer networks for semantic search, clustering, semantic textual similarity, and retrieval-augmented generation. Bundled training utilities support fine-tuning on contrastive losses; bundled inference utilities cover bi-encoders, cross- encoders (rerankers), and sparse encoders. Embedding-based RAG pipelines downstream — including sci-ml/amd-gaia's ui module and most LLM-orchestration frameworks — depend on this library. huggingface/sentence-transformers sentence-transformers