HyDE (Hypothetical Document Embeddings) is a method used to improve the performance of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs), particularly in handling queries from new or unseen domains. Background: Many existing embedding retrievers struggle to generalize well to…
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