Enhancing AI Retrieval Systems

This chapter focuses on practical strategies for improving AI retrieval systems, particularly through the development of knowledge graphs. It discusses the balance between automation and intentional design in creating these graphs, emphasizing the significance of data preprocessing and explainability. The chapter also explores the evolving landscape of graph technologies, highlighting the growing importance of property graphs and the predicted rise of GraphRag systems by 2025.