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Více informací o knize Java AI Frameworks

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 75 bodů

Anotace knihy

Two frameworks. Three stacks. One consistent comparison.

Java has quietly become a first-class place to build AI applications. But which framework should you reach for, Spring AI or LangChain4j? And does it matter whether you run on Spring Boot or Quarkus ? This book answers these questions the only way that really settles them: by building the same thing three times. Every capability is implemented in Spring AI, LangChain4j on Spring Boot, and LangChain4j on Quarkus, and held to a single shared conformance test. When the frameworks diverge, you see exactly where and why.
Inside you will:

• Build a working AI service in three stacks and grade them with one test
• Ground answers in your own documents with RAG, and tune what retrieval returns
• Give a model memory and tools, and reach external systems over MCP
• Add vision and audio, structured output, observability, and security
• Go from assistants to agents, and see where the JVM is heading

For Java developers and architects choosing an AI stack, or already committed to one and wondering what the alternatives do differently. Comfort with modern Java and either Spring Boot or Quarkus is all you need. No machine-learning background required.

Parametry knihy

• Plný název: Java AI Frameworks
• Podnázev: A hands-on comparison of Spring AI and LangChain4j
• Autor: Nicolas Duminil
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 224
• EAN: 9798165557682
• ID: 54495205
• Nakladatelství: Independently published
• Hmotnost: 394 g
• Rozměry: 235 × 191 × 12 mm
• Datum vydání: 09. November 2026

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