The fast-growing field of AI-assisted indexing and search is explored in this three-presentation session, plus one supporting paper. The first presentation, from RAI, covers unlocking documentary archives through retrieval-augmented generation for automatic retrieval, reuse, and narrative recomposition. The second, from Gracenote, USA, quantifies the benefits of large language models grounded in verified data for entertainment search and discovery. The third, from FlowState AI Inc, USA, presents a multi-agent video question-answering system that searches indexed video moments, localises candidate evidence, and inspects a short clip only when visual verification is needed.