Some people packaged this rather intuitive idea, named it Hyde (Hypothetical Document Embeddings) and wrote a paper about it — https://arxiv.org/abs/2212.10496

Some people packaged this rather intuitive idea, named it Hyde (Hypothetical Document Embeddings) and wrote a paper about it — https://arxiv.org/abs/2212.10496 https://arxiv.org/abs/2212.10496 Summary — HyDE is a new method for creating effective zero-shot dense retrieval systems that generates hypothetical documents based on queries and encodes them using an unsupervised contrastively learned encoder to identify relevant documents. It outperforms state-of-the-art unsupervised dense retrievers and performs strongly compared to fine-tuned retrievers across various tasks and languages.