RAG Agent with HyPE Pattern using Semantic Kernel

Mon, 14 Jul 2025 07:06:14 +0000

In this post we will explore a novel approach to Retrieval-Augmented Generation (RAG) called HyPE (Hypothetical Prompt Embeddings), which I came across in a preprint paper recently. This technique tries to address one of the fundamental challenges in RAG systems: the semantic mismatch between user queries and document content. If you’ve ever built a RAG system, you’ve probably felt the frustration when your carefully crafted vector search returns seemingly irrelevant results. At least for me, it was always tremendously annoying when a simple question like “What is quantum entanglement?” wouldn’t reliably match a document section that clearly explains quantum entanglement.

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RAG Agent with HyPE Pattern using Semantic Kernel