Skip to Content
Applied AI for Enterprise Java Development
book

Applied AI for Enterprise Java Development

by Alex Soto Bueno, Markus Eisele, Natale Vinto
November 2025
Intermediate to advanced
430 pages
10h 29m
English
O'Reilly Media, Inc.
Content preview from Applied AI for Enterprise Java Development

Chapter 8. LangChain4j

The previous chapter introduced how to consume AI models as an inference model API. This approach works for simple problems, but when you develop more-complicated solutions that heavily involve AI, you need more features than a simple request/response.

In this chapter, we introduce LangChain4j, a framework for simplifying the integration of AI/LLM capabilities into Java applications providing high-level capabilities like memory or data augmentation. We’ll cover examples using plain Java and its integration with Quarkus and Spring Boot so you can get a full picture of its use in various Java projects.

In this chapter, you’ll learn Langchain4j from the basics to advanced scenarios, using prompting, memory, data augmentation, and image processing. We will save RAG for the next chapter.

What Is LangChain4j?

LangChain4j is a Java implementation inspired by the popular Python LangChain framework. It helps developers build applications that integrate with LLMs. LangChain4j provides tools and abstractions to simplify the integration of LLMs into Java-based applications, enabling functionalities like NLP, text generation, question-answer, and more.

As the LangChain framework, LangChain4j offers features to simplify the development of applications that integrate with LLMs. Let’s dig into some of these key features.

Unified APIs

LLMs offer various APIs to access them. For example, the API to access the OpenAI ChatGPT model might differ from the one to access a Hugging ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Java SE 17 Developer (1Z0-829)

Java SE 17 Developer (1Z0-829)

Simon Roberts
AI Codecon: Coding with AI—The End of Software Development as We Know It

AI Codecon: Coding with AI—The End of Software Development as We Know It

Tim O'Reilly, Addy Osmani, Gergely Orosz, Kent Beck, Camille Fournier, Avi Flombaum, Maxi Ferreira, Harper Reed, Jay Parikh, Birgitta Böckeler, Angie Jones, Craig McLuckie, Patty O’Callaghan, Chip Huyen, swyx, Andrew Stellman, Phillip Carter, Nikola Balic, Brett Smith, Chelsea Troy, Lili Jiang, Iyanuoluwa Ajao
Generative AI on AWS

Generative AI on AWS

Chris Fregly, Antje Barth, Shelbee Eigenbrode

Publisher Resources

ISBN: 9781098174491Errata Page