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.
- Stars
- 2k
- Forks
- 420
- Language
- Python
- License
- Apache-2.0
- Last commit
- updated Nov 2026
Straight from GitHub
Nobody has written up this repo. Everything on this page comes straight from the GitHub API, so there is no founder write-up, no pros and cons, and no difficulty rating — rather than a generated guess at them.
Maintenance
Pushed within three months of the last stats read (as of Nov 6, 2026).
Licence
Apache-2.0
Tech stack
Primary language: Python. GitHub reports only the dominant language, so this is not the whole stack.
Install
No install command has been verified for this repo. Follow the README rather than a guess.
Quality score
Computed by the discovery import when this entry was added.
- Recent activity×0.30
- 1.00
How recently the default branch was pushed to.
- Adoption×0.20
- 0.70
Stars on a log scale, so adoption counts without dominating.
- Description and topics×0.15
- 1.00
Whether the repo describes itself: description, topics, homepage.
- README present×0.15
- 1.00
Whether the repository has a README at all.
- Licence clarity×0.10
- 1.00
Whether GitHub can resolve the licence to a recognised SPDX id.
- Issue health×0.10
- 1.00
Open issues relative to adoption, as a rough maintenance signal.
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