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

Product type Paperback

Published in Jun 2025

Publisher Packt

ISBN-13 9781836206231

Length 312 pages

Edition 1st Edition

Languages

Cypher

Tools

Cypher Query

Concepts

GPT/LLMs

Authors (2):

Ravindranatha Anthapu

Siddhant Agarwal

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Table of Contents (20) Chapters

Preface

1. Part: 1 Introducing RAG and Knowledge Graphs for LLM Grounding

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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

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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

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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

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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

Before we dive into the practical aspects of building a knowledge graph for RAG integration with Neo4j, it is essential to set up the necessary tools and environments. Here are the technical requirements for this chapter:

Neo4j database: You can use Neo4j Desktop for a local setup or Neo4j Aura for a cloud-based solution. Download Neo4j Desktop from the Neo4j download center: https://neo4j.com/download/. For Neo4j Aura, visit Neo4j Aura: https://neo4j.com/product/neo4j-graph-database/. Neo4j offers two primary cloud-based services – AuraDB and AuraDS:
- AuraDB is a fully managed graph database service tailored for developers building intelligent applications. It supports flexible schemas, native storage of relationships, and efficient querying with the Cypher language. AuraDB offers a free tier, enabling users to explore graph data without incurring costs. Learn more about AuraDB at https://neo4j.com/product/auradb/.
- AuraDS...

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

Table of Contents (20) Chapters

Technical requirements

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Authors (2)

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