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      <title>Article: Building Hierarchical Agentic RAG Systems: Multi-Modal Reasoning with Autonomous Error Recovery</title>
      <link>https://www.infoq.com/articles/building-hierarchical-agentic-rag-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Retrieval-Augmented+Generation-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/building-hierarchical-agentic-rag-systems/en/headerimage/building-hierarchical-agentic-rag-systems-header-1775040657142.jpg"/&gt;&lt;p&gt;In this article, the author explores how hierarchical agentic RAG systems coordinate specialized workers through structured orchestration to improve accuracy, reliability, and explainability in complex enterprise analytics workflows. The article uses Protocol-H as a to show how deterministic routing, reflective retry, and modality-aware reasoning support safer multi-source query execution.&lt;/p&gt; &lt;i&gt;By Abhijit Ubale&lt;/i&gt;</description>
      <category>Retrieval-Augmented Generation</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Thu, 09 Apr 2026 09:00:00 GMT</pubDate>
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      <dc:creator>Abhijit Ubale</dc:creator>
      <dc:date>2026-04-09T09:00:00Z</dc:date>
      <dc:identifier>/articles/building-hierarchical-agentic-rag-systems/en</dc:identifier>
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      <title>Article: Beyond RAG: Architecting Context-Aware AI Systems with Spring Boot</title>
      <link>https://www.infoq.com/articles/beyond-rag-context-aware/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Retrieval-Augmented+Generation-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/beyond-rag-context-aware/en/headerimage/beyond-rag-context-aware-header-1774531119239.jpg"/&gt;&lt;p&gt;This article introduces Context-Augmented Generation (CAG) as an architectural refinement of RAG for enterprise systems. It shows how a Spring Boot-based context manager can incorporate user identity, session state, and policy constraints into AI workflows, improving traceability, consistency, and governance without altering existing retrievers or LLM infrastructure.&lt;/p&gt; &lt;i&gt;By Syed Danish Ali&lt;/i&gt;</description>
      <category>Context-Augmented Generation</category>
      <category>Java</category>
      <category>Spring Boot</category>
      <category>Large language models</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Thu, 02 Apr 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/beyond-rag-context-aware/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Retrieval-Augmented+Generation-articles</guid>
      <dc:creator>Syed Danish Ali</dc:creator>
      <dc:date>2026-04-02T09:00:00Z</dc:date>
      <dc:identifier>/articles/beyond-rag-context-aware/en</dc:identifier>
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