Introduction to GraphRag with Neo4J

by Karthick Durai

All of us marvelled by the capabilities of Large Language Models (LLMs), but standalone LLMs have proven to come with their own set of limitations. In the domain of prompt engineering, we got a major breakthrough with Retrieval Augmented Generation (RAG). In this session let us see what is RAG? And does it really make a difference?