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LectureChat provides a conversational AI system by integrating multilingual university lecture transcripts alongside Wikipedia content into a typical LLM chat experience. We frame this as a proof-of-concept for video grounded QA. Our demo showcases a dual retrieval architecture that combines structured encyclopedic knowledge with academic lecture material, leveraging multiple segmentation strategies and cross-index reconciliation to improve retrieval quality. The system maintains separate citation spaces for Wikipedia (numeric) and lectures (alphabetic) and preserves temporal provenance for direct video navigation. We present the overall architecture, interaction flow, implementation details, and a reproducibility plan.

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LectureChat: Hybrid RAG over Wikipedia and Multilingual Lecture Videos

  • 会议论文

  • 发表日期：

    2026年

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  • Markos Dimitsas,
  • Jochen L. Leidner

摘要

LectureChat provides a conversational AI system by integrating multilingual university lecture transcripts alongside Wikipedia content into a typical LLM chat experience. We frame this as a proof-of-concept for video grounded QA. Our demo showcases a dual retrieval architecture that combines structured encyclopedic knowledge with academic lecture material, leveraging multiple segmentation strategies and cross-index reconciliation to improve retrieval quality. The system maintains separate citation spaces for Wikipedia (numeric) and lectures (alphabetic) and preserves temporal provenance for direct video navigation. We present the overall architecture, interaction flow, implementation details, and a reproducibility plan.