RAG Accuracy Depends on Question Design: Improving Accuracy Before Search with HyDE

This article highlights a crucial aspect often overlooked in RAG (Retrieval-Augmented Generation) implementations: the quality of the initial question. While much focus is placed on optimizing chunking and reranking after the search, the article argues that the question itself significantly impacts retrieval accuracy. It introduces HyDE (Hypothetical Document Embeddings) as a method to improve search precision by generating a virtual document tailored to the query, thereby enhancing the relevance of retrieved information. The article promises to offer a new perspective on RAG search accuracy by emphasizing the importance of question design.

• •Question design is crucial for RAG accuracy.
• •HyDE improves search precision by generating virtual documents.
• •Focusing on question design offers a new perspective on RAG optimization.