Dev Conference by Neo4j
Session Track: AI
Session Time:
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.
CTO & Co-Founder, Realta Logic
Stephen is a Software Developer with 15 years experience in his field. He has spent most of his career innovating in LegalTech and HealthTech, working with the oldest professions in the world and applying modern solutions. He is the Co-Founder of Realta Logic, an Australian startup that specialises in the digitisation of regulation and how to operationalise it, building on top of 20 years of research from the CSIRO, Australia's national science agency.
