Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG
Master Neo4j, Cypher, Graph Data Science, GraphQL, and AI-powered knowledge graphs for RAG
Created by Nitin Gujral
Dive into the world of graph databases by learning how to use Neo4j, Cypher, and the Graph Data Science library to analyze and extract insights from complex networks. Explore how to connect Neo4j with GraphQL APIs and build knowledge graphs using large language models for advanced AI applications like Retrieval-Augmented Generation.
Packt | Jun 2025 | 100 min
What You Will Learn
You will progress from foundational concepts to advanced techniques through a mix of guided explanations and hands-on labs. Practical exercises and real-world projects help reinforce each skill, ensuring you can confidently design, query, and analyze graph data while integrating AI-powered solutions.
Key Features
- Master Cypher queries to efficiently extract and manipulate graph data
- Apply graph algorithms to uncover patterns and insights in connected datasets
- Integrate Neo4j with GraphQL and AI tools for building intelligent knowledge graphs
Target Audience
Ideal for software engineers, data scientists, and AI practitioners with basic programming and database experience. If you want to leverage graph technologies for data analysis or AI-driven applications, you will find clear guidance and practical skills, even if you are new to Neo4j or graph databases.
