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 r
- Stars
- 1.9k
- Forks
- 413
- Open issues
- 6
- Last push
- today
About video-search-and-summarization
video-search-and-summarization is a free, open-source RAG and AI search tool by NVIDIA-AI-Blueprints, written mainly in Python. 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 r. It has 1.9k GitHub stars and 413 forks, and was last updated today. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 1,940
- Last update
- today
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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video-search-and-summarization FAQ
Is video-search-and-summarization free?
Yes. video-search-and-summarization is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does video-search-and-summarization run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does video-search-and-summarization need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is video-search-and-summarization still maintained?
Yes. It was last updated today and has 6 open issues on GitHub.
What are alternatives to video-search-and-summarization?
Similar free, open-source tools include ragflow, PageIndex, OpenViking, meilisearch.