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    <title>Semantic-Kernel on Strathweb. A free flowing tech monologue.</title>
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      <title>RAG Agent with HyPE Pattern using Semantic Kernel</title>
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      <pubDate>Mon, 14 Jul 2025 07:06:14 +0000</pubDate>
      
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      <description>&lt;p&gt;In this post we will explore a novel approach to Retrieval-Augmented Generation (RAG) called &lt;a href=&#34;https://ssrn.com/abstract=5139335&#34;&gt;HyPE (Hypothetical Prompt Embeddings)&lt;/a&gt;, 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&amp;rsquo;ve ever built a RAG system, you&amp;rsquo;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 &amp;ldquo;What is quantum entanglement?&amp;rdquo; wouldn&amp;rsquo;t reliably match a document section that clearly explains quantum entanglement.&lt;/p&gt;</description>
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      <title>AI Agents with OpenAPI Tools - Part 1: Semantic Kernel</title>
      <link>https://www.strathweb.com/2025/06/ai-agents-with-openapi-tools-part-1-semantic-kernel/</link>
      <pubDate>Mon, 23 Jun 2025 07:06:14 +0000</pubDate>
      
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      <description>&lt;p&gt;Today we will kick off a short series on building AI agents which have access to OpenAPI tools. In this first part, we will focus on the Semantic Kernel, and in the second part, we will look at Azure AI Foundry.&lt;/p&gt;</description>
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