Similar to Hypothetical Document Embedding (HyDE), an LLM intercepts the process of generating embeddings for documents or queries.
In the case of HyPE, HyPE is used for embedding hypothetical prompts instead of . This is usually not done at runtime but before. Then, at runtime, the similarity is computed with question-question matching, rathert than query-document approaches.