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June 21, 2024Open Access

Towards Retrieval Augmented Generation over Large Video Libraries

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Authors

YTYannis TevissenKGKhalil GuetariFPFrédéric Petitpont

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Cite This Study

Tevissen et al. (2024) studied this question.

synapsesocial.com/papers/68e63e20b6db6435875cfb2bhttps://doi.org/10.48550/arxiv.2406.14938
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1VisionVerse: Dynamic Video Question Answering Through Retrieval-Augmented Generation2024
  2. 2Intra-Video Temporal-Aware RAG: A Self-Contained Framework for Video-Based Question Answering2026
  3. 3Video Enriched Retrieval Augmented Generation Using Aligned Video Captions2024
  4. 4AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding2025
  5. 5Retrieval Augmented Generation Using Multimodal Large Language Models for Real-Time Knowledge-Grounded Question Answering2026