Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG

About this course

Kindly note: 1. Demos are recorded on Windows only.2. This course includes mostly practical use cases, datasets, and queries that are available on the official Neo4j Sandbox website. The objective is to guide you through these complex Cypher queries & concepts in an easy and time-efficient manner.3. This course does not cover the basics of Python programming. 3. Python knowledge is required (only for the labs in Sections 8 and 9) Course Update:

Nov 2024 - Two New sections added:

• Section 8: Iteracting Neo4j from Python Program

Section 9: Emerging Trends in Neo4j and AI Integration: LLMs and GraphRAG Welcome to "Knowledge Graph with Neo4j, Cypher, and GDS"! This comprehensive course is your gateway to mastering the powerful world of graph databases, a cutting-edge technology reshaping how we handle complex data relationships. Designed for data enthusiasts, developers, and anyone keen on exploring the frontier of data technology, this course will equip you with the skills to build and query robust knowledge graphs using Neo4j.

We begin our journey with an Introduction to Neo4j, diving into what makes graph databases unique and essential for modern data challenges. You'll learn about the architecture and core features of Neo4j, setting a solid foundation for your learning.

Next, we delve into Industry Applications of Neo4j. Through real-world case studies, you'll see how Neo4j is revolutionizing various industries, from finance to healthcare, showcasing its versatility and impact.

Understanding where Neo4j fits in the data ecosystem is crucial, so we’ll explore Where Neo4j Fits Among Various Database Types, helping you grasp its unique role compared to traditional databases.

We then focus on the Property Graph Model, the backbone of Neo4j, explaining its components and why it’s perfect for representin

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