Fast State-of-the-Art Static Embeddings
State-of-the-Art Embeddings, Retrieval, and Reranking
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
Efficient few-shot learning with Sentence Transformers
A Retrieval-Augmented Generation assistant for hotel guest support — case study on the Hilton Yaounde, built with Hugging Face Transformers, sentence-transformers and pypdf