Enhancing Language Models with Knowledge Graphs

Today we have Stephen Chin, VP of developer relations at Neo4j on the show. Stephen is an author, speaker, and Java expert, we’ll actually be crossing paths in person at the upcoming Infobip Shift conference in September.

We got together to talk about GraphRAG. His CTO recently wrote an article titled The GraphRAG Manifesto, and Stephen joined us to explain how a knowledge graph can be used to improve performance over traditional RAG architectures. It also helps address some of the fundamental limitations to LLM adoption from enterprises today, like hallucinations and explainability.

GraphRAG is relatively new, but looks like a very promising approach to improving performance for certain generative AI use cases, like customer support.