Building Applications with GraphRAG and Generative AI
Details
Register: https://luma.com/rjekky53
Join us for a hands-on introduction to Generative AI with Neo4j with CODE University.
In this instructor-led workshop, participants will explore how graph databases can improve GenAI applications and reduce common challenges such as hallucinations. You’ll learn key concepts including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GraphRAG, vector search, knowledge graphs, and AI agents.
The workshop follows a mixed format with theoretical lessons combined with practical exercises while instructors are available to support and answer questions.
During the session, you will learn how to:
- Use Neo4j to enhance GenAI applications
- Build knowledge graphs from unstructured data
- Use vector embeddings for similarity search
- Create GraphRAG retrievers using Python
- Build a conversational AI agent using Neo4j and LangChain
