video-search-and-summarization

Why we included this project

Hours of video become searchable and quotable with this reference architecture, which turns recorded or live footage into something you can interrogate in plain language. NVIDIA packages it as a GPU-accelerated blueprint that wires vision-language models, retrieval over video embeddings, and LLM reasoning into an agent for visual Q&A, long-video summarization, clip retrieval, and verified real-time alerts. It is a template more than a single app, showing how to assemble accelerated microservices from frame and caption ingestion to message-broker publishing, with workflows exposed through the Model Context Protocol. Teams already on NVIDIA hardware or NIM microservices get a runnable starting point instead of gluing together the pieces themselves. If you are building agentic video understanding, this is a concrete implementation worth adapting.