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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.

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1,967All-time #26,614
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420
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updated 1 days ago
Repository created
since 2024
Apps & systemsGeneralPythonApache-2.0 · Permissive
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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.

Summarised by AI from the README; the original prevails

Author description: 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.

Basic listing based on official public information; functionality has not been independently evaluated.

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1,9671,9681,96811-06 · 1,96710-0810-1310-1810-2310-2811-0211-06

First collected 2026-11-06Measured at 2026-11-06 12:04 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository Stars, not unique users · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.