Building a RAG System for Video Content Search and Analysis
SMRTR summary
A new application transforms video content into searchable vectors using Amazon services. The system processes visual and audio components, creating embeddings for key frames and transcribed text, enabling powerful multimodal search capabilities and natural language queries to find specific moments in videos.
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