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.
NVIDIA-AI-Blueprints/video-search-and-summarization is drawing steady momentum at +1.4 stars/day (37th percentile in the tracked cohort), for a momentum score of 35.6/100. A recent release is helping fuel the run.
Reconstructed from 191 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 9.
~13 forks/day, 27.8× the trailing baseline.
Live score, refreshed every 6 hours. Links back to this page.
[](https://repoclimb.com/repo/NVIDIA-AI-Blueprints/video-search-and-summarization)Low breakout odds over the next 14 days, led by push recency (100th pctl). Confidence is high given the available history.
Transparent heuristic · logged for model training
Percentile rank within the tracked cohort. The score self-calibrates — it answers “accelerating vs. everything else,” not raw size.