Hornet.dev CEO Jo Kristian Bergum demonstrated that thirty-year-old BM25 lexical search outperforms neural embeddings in autonomous AI agents because models formulate exact, complex queries that traditional vectors mishandle, making efficient keyword retrieval essential for agent workflows.