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A video-based Retrieval-Augmented Generation (RAG) system that processes video frames and audio to enable conversational question-answering on video content.
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This is a personal experimental repository with zero stars or forks. It implements a standard multimodal RAG pattern (extracting frames, embedding them, and querying via LLM). Frontier labs like Google (Gemini 1.5 Pro) and OpenAI (GPT-4o) have already internalized native long-context video processing, making external RAG pipelines for video content increasingly redundant and lower-performing compared to native multimodal windows.
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