Welcome to NODES 2024

Session Track:

Session Time: 05:30 am - 06:00 am November 7

Session description

Fine-tuning LLMs can be expensive and often still won't produce the results you need. Retrieval Augmented Generation (RAG) introduced a method for providing private or more up-to-date data in our LLM responses. Now GraphRAG further expands on this, allowing a knowledge graph to deeply enhance responses from LLMs with data from your own data sources. Come see practical experiences with deepening and enhancing a knowledge graph using LLMs and other ML techniques as well as querying and interacting with the underlying data.