AutoHyDE

Overview

AutoHyDE is a semi-supervised framework designed to enhance the effectiveness and applicability of HyDE for advanced LLM retrieval-augmented generation (RAG). It is ideal for AI practitioners and researchers looking to deepen their understanding of HyDE and its applications in language models.