Summary

This session explores the powerful combination of knowledge graphs and large language models for building AI applications. Specifically, it focuses on using ontologies and the "Graph RAG" architecture, which replaces traditional vector databases with knowledge graphs. The practical takeaway is that this approach leads to richer retrieval strategies, contextualized results, and ultimately, more grounded and complete AI responses.