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.
Why this job: says: rag; topics: rag, retrieval-augmented-generation
What it does
NVIDIA AI Blueprint for Video Search and Summarization (VSS) combines vision-language models, RAG, and NVIDIA NIM microservices to deliver real-time video analytics, visual Q&A, alert verification, clip retrieval, and long-video summarization.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 7 days ago
- Stars
- 1,971
- +10 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v3.3.0
- Released 20 days ago
- Built with
- Python
- 56% of the code
Is it looked after?
- Contributors
- 15
- Last 90 days
- Issues
- 93% closed
- 7 still open
- Pull requests
- 1,973 merged
- 244 waiting
- Releases
- 9
- 5 in the last year
More: languages, topics and project record
Languages
- Python 56%
- C++ 23%
- TypeScript 8%
- Shell 5%
Topics
- rag
- vlm
- skills
- video-analytics
- video-search
- computer-vision
- generative-ai
- long-video-understanding
- model-context-protocol
- multimodal-ai
- natural-language-search
- nvidia-nim
Project record
- JobRAG and search
- StatusListed
- Commits3,124
- Forks418
- Watching20
- Stars in 28 days+49
- CreatedOct 22, 2024
- First seen by usNov 7, 2026
- CheckedNov 10, 2026