Introducing the Ettin Reranker Family

The Ettin Reranker family has been introduced, featuring models designed to enhance retrieval-augmented generation tasks. These models leverage a transformer-based architecture with improvements in fine-tuning techniques, achieving state-of-the-art performance on benchmark datasets such as MS MARCO and TREC. This release provides practitioners with robust tools for improving search relevance and information retrieval efficiency in AI applications.