RAG Retrieval Alignment and Cost
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HyPE: Moving the RAG Question–Document Gap into Indexing
Intermediate Retrieval, memory, and production RAGA deep reading of Bridging the Question-Answer Gap in Retrieval-Augmented Generation: Hypothetical Prompt Embeddings. HyPE precomputes hypothetical questions for every chunk and turns query-to-document retrieval into question-to-question matching, with strong six-dataset results but real indexing, freshness, chunking, and single-generator boundaries.
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