Professor Laura Dietz discusses Neurosymbolic Search, Entity Linking, Entity Re-Ranking, Knowledge Graphs, and Large Language Models. They explore the potentials of bias in using LLMs for relevance judgments and the complexities of merging neural technologies with symbolic systems in search technology. The conversation delves into enhancing search algorithms, filtered vector search, entity linking with context-specific models, and the nuances of relevance judgments in research papers.