{"product_id":"9798868816086","title":"Generative AI-Driven Application Development with Java: Leveraging Large Language Models in Modern Java Applications","description":"\u003ch1\u003eGenerative AI-Driven Application Development with Java: Leveraging Large Language Models in Modern Java Applications\u003c\/h1\u003e \u003ch2\u003eSahu, Satej Kumar\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"line-height: normal; margin: 14.0pt 0in 14.0pt 0in;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt;\"\u003eThis is the first hands-on guide that takes you from a simple “Hello, LLM” to production-ready microservices, all within the JVM. You’ll integrate hosted models such as OpenAI’s GPT-4o, run alternatives with Ollama or Jlama, and embed them in Spring Boot or Quarkus apps for cloud or on-pre deployment.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"line-height: normal; margin: 14.0pt 0in 14.0pt 0in;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt;\"\u003eYou’ll learn how prompt-engineering patterns, Retrieval-Augmented Generation (RAG), vector stores such as Pinecone and Milvus, and agentic workflows come together to solve real business problems. Robust test suites, CI\/CD pipelines, and security guardrails ensure your AI features reach production safely, while detailed observability playbooks help you catch hallucinations before your users do. You’ll also explore DJL, the future of machine learning in Java. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"line-height: normal; margin: 14.0pt 0in 14.0pt 0in;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt;\"\u003eThis book delivers runnable examples, clean architectural diagrams, and a GitHub repo you can clone on day one. Whether you’re modernizing a legacy platform or launching a green-field service, you’ll have a roadmap for adding state-of-the-art generative AI without abandoning the language—and ecosystem—you rely on.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"line-height: normal; margin: 14.0pt 0in 14.0pt 0in;\"\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt;\"\u003eEstablish generative AI and LLM foundations\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt;\"\u003eIntegrate hosted or local models using Spring Boot, Quarkus, LangChain4j, Spring AI, OpenAI, Ollama, and Jlama\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt;\"\u003eCraft effective prompts and implement RAG with Pinecone or Milvus for context-rich answers\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt;\"\u003eBuild secure, observable, scalable AI microservices for cloud or on-prem deployment\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt;\"\u003eTest outputs, add guardrails, and monitor performance of LLMs and applications\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Calibri',sans-serif; mso-fareast-font-family: Calibri; mso-ansi-language: EN-IN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eExplore advanced patterns, such as agentic workflows, multimodal LLMs, and practical image-processing use cases\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWho This Book Is For\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"line-height: normal; margin: 14.0pt 0in 14.0pt 0in;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt;\"\u003eJava developers, architects, DevOps engineers, and technical leads who need to add AI features to new or existing enterprise systems. Data scientists and educators will also appreciate the code-first, Java-centric approach.\u003c\/span\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Apress\u003c\/p\u003e \u003cp\u003ePublication Date: 2026-01-03\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9798868816086\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/979-8-8688-1609-3\u003c\/p\u003e \u003cp\u003eDimensions: 254cm x178cm\u003c\/p\u003e \u003cp\u003ePages: 698\u003c\/p\u003e ","brand":"Apress","offers":[{"title":"Default Title","offer_id":44334861549708,"sku":"9798868816086","price":35.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9798868816086.jpg?v=1775066730","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9798868816086","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}