Independent research: GraphRAG makes AI agents 80% more truthful | Read the report
Thank you to everyone who participated in NODES 2025! We’ll see you in November for NODES 2026.
Session Track: Knowledge Graphs
Session Time:
Session description
This talk explores design patterns for integrating memory into agentic workflows, discusses trade-offs between retrieval accuracy and computational efficiency, and highlights how persistent knowledge unlocks more capable, personalized, and trustworthy AI systems.
Graph Data Analyst
Loves to work with graphs and write about various graph analytics approaches in his blog. Very excited about the intersection of ML and Graph technologies.