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. observed · 2026-10-15
Health v2 · maintenance only
81/100
- Activity 99
- Release rhythm 75
- Longevity 52
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 77.5
- age_days: 728
- days_rel: 89
- days_push: 6
- n_releases_24m: 7
Adoption not part of the score
1927 stars · 410 forks observed · 2026-10-15
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
NVIDIA's GPU-accelerated AI Blueprint reference architecture for building video analytics agents that search, summarize, and reason over live or recorded video using natural language. It combines vision-language models (Cosmos), LLMs (Nemotron), RAG, and NVIDIA NIM microservices for real-time alerts, visual Q&A, clip retrieval, and automated reporting.
Use cases
- search video archives with natural language queries
- summarize hours of long video footage
- ask visual questions about video content
- detect and verify real-time alerts with VLMs
- build video analytics agents with RAG
- retrieve relevant video clips automatically
- generate automated reports from video streams
When to choose
- building GPU-accelerated video AI agents on NVIDIA infrastructure
- you need natural-language search and Q&A over live or archived video
- you want a reference architecture combining VLMs, LLMs, and NIM microservices
- you need real-time video intelligence with verified alerts and summarization
When to avoid
- you have no NVIDIA GPU hardware or cloud access
- you need a lightweight CPU-only video processing pipeline
- you want a simple end-user app rather than a developer blueprint
- your use case is unrelated to video understanding or analytics
Facets
framework · maturity active
rag video-processing computer-vision llm-inference agent-framework mcp search-engine nlp computer-vision artificial-intelligence large-language-models cloud self-hosted video-analytics vision-language-models video-summarization nvidia-nim multimodal-ai video-search reference-architecture vision-agents long-video-understanding real-time-alerts video ai-agents retrieval-augmented-generation natural-language-processing gpu docker linux
5 sources
- readme: https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization · fetched 2026-10-15 · 9ed4a5ecb700
- homepage: https://build.nvidia.com/nvidia/video-search-and-summarization · fetched 2026-08-29 · 75434fec5ef8
- site_page: https://docs.api.nvidia.com/ · fetched 2026-08-29 · 3cc6f26f155a
- site_page: https://www.nvidia.com/en-us/about-nvidia/privacy-policy · fetched 2026-08-29 · 5362c58d0750
- site_page: https://www.nvidia.com/en-us/about-nvidia/privacy-center · fetched 2026-08-29 · b098377da9cc
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| NVIDIA-AI-Blueprints/video-search-and-summarization | main | 81 |
For agents
markdown · JSON · MCP: product_card(name="NVIDIA-AI-Blueprints/video-search-and-summarization")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem