Jo Kristian Bergum

Jo Kristian Bergum, a seasoned search infrastructure expert with two decades at Yahoo and Fast Search & Transfer, dives deep into the evolution of vector databases. He discusses the surge in vector database popularity post-ChatGPT and the misconceptions surrounding embedding-based similarity search. The conversation explores the dynamic interplay between traditional search methods and embedding techniques. Additionally, Joe sheds light on the future of retrieval-augmented generation and the importance of knowledge graphs in AI development.