This podcast episode features AI engineer Prashanth Rao, who shares insights into the evolving field of graph databases and their integration with vector databases to enhance retrieval systems through innovative techniques like GraphRAG. He discusses the superiority of graphs in analyzing complex, interconnected data compared to traditional relational databases, detailing the practicalities of constructing a GraphRAG system, exemplified by the Madame Curie dataset. Prashanth highlights the challenges in graph construction and the future potential of graph technologies in AI systems, emphasizing their role in improving generative models and the accuracy of information retrieval.
