Prashanth Rao, a Senior AI and data engineer at the Royal Bank of Canada, shares his hands-on experience with vector databases. He breaks down the evolution of data management from SQL to NoSQL while highlighting the efficiency of vector representations. The conversation delves into integrating transformer models for advanced search capabilities and discusses the maturity and trade-offs of current database options. Prashanth also explores future trends in disk-based vector databases, emphasizing their potential to revolutionize information retrieval.

Prashanth Rao, an AI engineer at Kuzu known for his expertise in graph databases, joins the discussion to unravel the complexities of GraphRAG. He delves into the practical applications of graph databases, particularly in healthcare and finance. The conversation highlights how integrating graph and vector databases enhances information retrieval. Prashanth also shares insights on the evolution of retrieval augmented generation, focusing on how advanced techniques can improve the accuracy of AI models.

Prashanth Rao discusses trade-offs and exploration of vector databases, including indices, hosting options, and query optimization. The podcast covers the evolution of vector databases in AI workflows and combining them with large language models for natural language querying. The hosts also explore future possibilities of vector databases and integration of graph databases for enhanced knowledge retrieval.