Python · Apache-2.0
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.
★ 2k
Stars
420 forks · 250 open issues
+1.7/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
32.8
Momentum / 100
see the breakdown below
2y ago
Created
last push 3d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 8.3 | +1.7/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.97× the monthly pace |
| Freshness | 15 | 15.0 | last push 3d ago; decays to zero at 180 days |
| Scale | 15 | 9.6 | 2k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 32.8 | sum of the above |
Detail
| Topics | computer-visiongenerative-ailong-video-understandingmodel-context-protocolmultimodal-ainatural-language-searchnvidia-nimragreal-time-video-analyticsretrieval-augmented-generationskillsvideo-agentvideo-analyticsvideo-ragvideo-searchvideo-summarizationvideo-understandingvision-agentvision-language-modelvlm |
| Matched on | RAG (retrieval-augmented-generation) Agent Skills & MCP (model-context-protocol) |
| Short window | +12 stars over 7 days = 1.7/day |
| Long window | +46 stars over 26 days = 1.8/day |
| Lifetime average | 2.64 stars/day over 744 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |