huggingface/sentence-transformers

Retrieval and Retrieval-augmented LLMs

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

A blazing fast inference solution for text embeddings models

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

Search infrastructure for AI