Kickstart your journey into Neo4j and Generative AI with this hands-on workshop.
You’ll learn the fundamentals of GenAI, explore how Neo4j and knowledge graphs enhance AI-driven applications, and see how GraphRAG improves accuracy and explainability over standard RAG. Through practical exercises, you’ll build your own conversational agent using Neo4j, Python, and LangChain.
The workshop is the perfect starting point for developers, data scientists, and technology enthusiasts ready to unlock the power of graph-powered GenAI.
You will learn:
– The basics of Generative AI and Large Language Models (LLMs)
– What Retrieval-Augmented Generation (RAG) is and why it is important
– How GraphRAG can improve the quality of LLM-generated content
– How to build knowledge graphs from unstructured PDF documents using entity extraction and relationship mapping
– How to enrich knowledge graphs with structured data using Neo4j Data Importer
– How to use Vectors in Neo4j for similarity search
– To build different types of retrievers using the neo4j-graphrag for Python package.
– To create a conversational agent using Neo4j, Python, and LangChain.
Requirements:
Please join the session from a computer (or laptop) so you can take part in the practical exercises. If your laptop has a firewall you can't control, you may want to bring your personal laptop.
We also recommend taking the Neo4j Fundamentals course.
