The chapter explores a project utilizing AI to categorize and group podcast episodes based on transcripts, focusing on topics like JavaScript and AI. Detailed discussions include creating embeddings for segments of transcripts to balance granularity and coherence. Techniques such as sentence embeddings, segmenting based on similarities, and various pooling mechanisms like CLS and max pooling are explored, along with challenges and a new technology called Colbert to enhance details in embeddings.