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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

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Product type Paperback
Published in Jun 2025
Publisher Packt
ISBN-13 9781836206231
Length 312 pages
Edition 1st Edition
Languages
Concepts
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Authors (2):
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Ravindranatha Anthapu Ravindranatha Anthapu
Author Profile Icon Ravindranatha Anthapu
Ravindranatha Anthapu
Siddhant Agarwal Siddhant Agarwal
Author Profile Icon Siddhant Agarwal
Siddhant Agarwal
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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

Setting up LangChain4j and Spring AI

We will take a look at setting up the Spring AI and LangChain4j projects using the spring initializr website (https://start.spring.io/).

We will look at each of these technologies independently. LangChain4j and Spring AI are both options to perform the same tasks. We need only one of these frameworks to build GenAI projects. LangChain4j has been available for a bit longer than Spring AI. Both of them work pretty similarly in terms of the API and integrations. We will build the same application with both frameworks and see how similar they are. We will also identify the differences.

The following are the steps we need to follow to create the starter projects:

  1. Setting up the LangChain4j project:
    1. Go to the website, https://start.spring.io/.
    2. Select Maven under the Project section.
    3. Select Java under the Language section.
    4. In the Project Metadata section, fill in the following values:
        ...
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