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.

About the project

NVIDIA AI Blueprint for Video Search and Summarization (VSS) is a reference architecture for applications that use AI to search, analyze, question, and summarize live or recorded video. It is intended for building video analytics agents with vision-language models, language models, retrieval-augmented generation, and NVIDIA NIM microservices. The catalogue entries provide coding-agent rules, skills, commands, agents, instructions, and settings associated with the project.

This repository also configures its own agents. See what video-search-and-summarization tells them →

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vios-dev

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

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VIOS deployment agent. Standalone build/deploy/stop/status operations. Use for explicit stack management without testing — for the full test cycle use the vios-sqa rule.

not rated 1.9k +13 today A 0 tokens original Apache-2.0

vios-sqa

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

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VIOS SQA agent. One-click build → deploy → test → UI validation cycle. Use when asked to run regression tests, check test results, deploy for testing, or verify UI behavior.

not rated 1.9k +13 today A 0 tokens original Apache-2.0

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