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NVIDIA-AI-Blueprints/video-search-and-summarization

NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.

Latest metrics (snapshot 2026-10-14)

stars1927
forks410
issues235
pushed_at2026-10-14T18:19:26Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-141927

ADC Momentum: 25/100

ADC Momentum 25 Leaderboard

Growth velocity8
Consistency6
Recency100
Agent demand0
Basisbootstrap

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Details

descriptionNVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.
urlhttps://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization
languagePython
licenseNOASSERTION
topicscomputer-vision
generative-ai
long-video-understanding
model-context-protocol
multimodal-ai
natural-language-search
nvidia-nim
rag
real-time-video-analytics
retrieval-augmented-generation
skills
video-agent
created_at2024-10-22T06:43:05Z
homepagehttps://build.nvidia.com/nvidia/video-search-and-summarization

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