Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Building Neo4j-Powered Applications with LLMs

You're reading from   Building Neo4j-Powered Applications with LLMs Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI

Arrow left icon
Product type Paperback
Published in Jun 2025
Publisher Packt
ISBN-13 9781836206231
Length 312 pages
Edition 1st Edition
Languages
Concepts
Arrow right icon
Authors (2):
Arrow left icon
Ravindranatha Anthapu Ravindranatha Anthapu
Author Profile Icon Ravindranatha Anthapu
Ravindranatha Anthapu
Siddhant Agarwal Siddhant Agarwal
Author Profile Icon Siddhant Agarwal
Siddhant Agarwal
Arrow right icon
View More author details
Toc

Table of Contents (20) Chapters Close

Preface 1. Part: 1 Introducing RAG and Knowledge Graphs for LLM Grounding 2. Introducing LLMs, RAGs, and Neo4j Knowledge Graphs FREE CHAPTER 3. Demystifying RAG 4. Building a Foundational Understanding of Knowledge Graph for Intelligent Applications 5. Part 2: Integrating Haystack with Neo4j: A Practical Guide to Building AI-Powered Search 6. Building Your Neo4j Graph with Movies Dataset 7. Implementing Powerful Search Functionalities with Neo4j and Haystack 8. Exploring Advanced Knowledge Graph Capabilities with Neo4j 9. Part 3: Building an Intelligent Recommendation System with Neo4j, Spring AI, and LangChain4j 10. Introducing the Neo4j Spring AI and LangChain4j Frameworks for Building Recommendation Systems 11. Constructing a Recommendation Graph with H&M Personalization Dataset 12. Integrating LangChain4j and Spring AI with Neo4j 13. Creating an Intelligent Recommendation System 14. Part 4: Deploying Your GenAI Application in the Cloud 15. Choosing the Right Cloud Platform for GenAI Applications 16. Deploying Your Application on the Google Cloud 17. Epilogue 18. Other Books You May Enjoy
19. Index

Technical requirements

We will be using a Java IDE environment to work with the LangChain4j and Spring AI projects. You need to have these installed and know how to work with them. You will need the following to get started:

  • Maven will be used to build a project and manage dependencies. If you are going to use the IntelliJ IDE (or IntelliJ IDEA), then Maven will be installed along with it, and you need not install it separately. If you are new to Maven, you can read more about it at https://maven.apache.org/.
  • Java 17.
  • IntelliJ – These examples are built and tested with the IntelliJ IDE. You can use your preferred IDE, however. We will be using the IntelliJ IDEA tool to build and run our projects. You can download the tool from https://www.jetbrains.com/idea/. You can download the Community Edition to run the examples in this chapter. You can read more about using this IDE to build Spring applications at https://www.jetbrains.com/idea/spring/.
  • Spring...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Visually different images