Besplatna dostava putem Box Now paketomata i Overseas kurirske službe iznad 69,99 €.

Provjerite status narudžbe

Pridružite se zajednici ljubitelja knjige iz cijelog svijeta i ostvarite mnoštvo pogodnosti. Izradite besplatni račun

Besplatna dostava Overseas kurirskom službom iznad 69.99 €

DPD kurir 4.49 € DPD točka 3.99 € GLS Kurir 5.49 € GLS paketomat 4.49 € Hrvatska pošta 5.49 € Dostava Overseas 5.49 € Box Now 4.99 €

Kontakt

Kako kupovati

Pomoć

Moj račun

▸ Prazno :-(

Besplatna dostava putem Box Now paketomata i Overseas kurirske službe iznad 69,99 €.

Java AI Frameworks

Name: Java AI Frameworks
Brand: Independently published
SKU: 54495205
Price: 32.5 EUR
Availability: InStock
Author: Nicolas Duminil
ISBN: 9798165557682

A hands-on comparison of Spring AI and LangChain4j

Nicolas Duminil

Jezik

Engleski

Knjiga Meki uvez

Libristo kod: 54495205

Nakladnici Independently published, studeni 2026

Two frameworks. Three stacks. One consistent comparison.Java has quietly become a first-class place... Cijeli opis

Libristo kod: 54495205

79 b

Pripremamo Novo

Novo

32.50 €

Očekivane nove zalihe Dobivanje novih zaliha 13. 11. 2026

Do 30 dana za povrat

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.