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    <title>Spring AI Source Code Architecture Overview on Spring DevPro</title>
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    <description>Recent content in Spring AI Source Code Architecture Overview on Spring DevPro</description>
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    <managingEditor>jeff.taakey@gmail.com (Jeff Taakey)</managingEditor>
    <webMaster>jeff.taakey@gmail.com (Jeff Taakey)</webMaster>
    <copyright>© 2026 Jeff Taakey</copyright>
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      <title>Spring AI ChatModel Source Code Analysis</title>
      <link>https://springdevpro.com/spring-ai/source-code/chat-model/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <author>jeff.taakey@gmail.com (Jeff Taakey)</author>
      <guid>https://springdevpro.com/spring-ai/source-code/chat-model/</guid>
      <description>Stop relying on expensive cloud APIs. This deep dive demonstrates how to architect a privacy-first AI application using Spring Boot, Spring AI, and Ollama. We cover installation, the ChatClient API, streaming responses, and performance tuning for Llama 3 and Mistral models.</description>
      
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    <item>
      <title>Spring AI ChatResponse Source Code Analysis</title>
      <link>https://springdevpro.com/spring-ai/source-code/chat-response/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <author>jeff.taakey@gmail.com (Jeff Taakey)</author>
      <guid>https://springdevpro.com/spring-ai/source-code/chat-response/</guid>
      <description>Stop relying on expensive cloud APIs. This deep dive demonstrates how to architect a privacy-first AI application using Spring Boot, Spring AI, and Ollama. We cover installation, the ChatClient API, streaming responses, and performance tuning for Llama 3 and Mistral models.</description>
      
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    <item>
      <title>Spring AI Prompt Source Code Analysis</title>
      <link>https://springdevpro.com/spring-ai/source-code/prompt/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <author>jeff.taakey@gmail.com (Jeff Taakey)</author>
      <guid>https://springdevpro.com/spring-ai/source-code/prompt/</guid>
      <description>Stop relying on expensive cloud APIs. This deep dive demonstrates how to architect a privacy-first AI application using Spring Boot, Spring AI, and Ollama. We cover installation, the ChatClient API, streaming responses, and performance tuning for Llama 3 and Mistral models.</description>
      
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    <item>
      <title>Spring AI Tool Calling Source Code Analysis</title>
      <link>https://springdevpro.com/spring-ai/source-code/tool-calling/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <author>jeff.taakey@gmail.com (Jeff Taakey)</author>
      <guid>https://springdevpro.com/spring-ai/source-code/tool-calling/</guid>
      <description>Stop relying on expensive cloud APIs. This deep dive demonstrates how to architect a privacy-first AI application using Spring Boot, Spring AI, and Ollama. We cover installation, the ChatClient API, streaming responses, and performance tuning for Llama 3 and Mistral models.</description>
      
    </item>
    
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      <title>Spring AI VectorStore Source Code Analysis</title>
      <link>https://springdevpro.com/spring-ai/source-code/vector-store/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <author>jeff.taakey@gmail.com (Jeff Taakey)</author>
      <guid>https://springdevpro.com/spring-ai/source-code/vector-store/</guid>
      <description>Stop relying on expensive cloud APIs. This deep dive demonstrates how to architect a privacy-first AI application using Spring Boot, Spring AI, and Ollama. We cover installation, the ChatClient API, streaming responses, and performance tuning for Llama 3 and Mistral models.</description>
      
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      <title>Spring AI ChatClient Source Code Analysis</title>
      <link>https://springdevpro.com/spring-ai/source-code/chat-client/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <author>jeff.taakey@gmail.com (Jeff Taakey)</author>
      <guid>https://springdevpro.com/spring-ai/source-code/chat-client/</guid>
      <description>&lt;p&gt;&lt;code&gt;ChatClient&lt;/code&gt; is the primary entry point for conversational AI interactions in Spring AI. It provides a fluent, builder‑driven API that hides the complexity of prompt assembly, advisor chains, model invocation, and streaming. Understanding its source code reveals how Spring AI achieves portability, extensibility, and a consistent programming model across different LLM providers.&lt;/p&gt;</description>
      
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