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.
NVIDIA-AI-Blueprints/video-search-and-summarization
View on GitHub ↗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.
video-search-and-summarization grew +3.8% in the last 30 days, ranks 279th of 1,545 in Memory & Knowledge (RAG), actively maintained, last commit today.
Star trajectory
127 days tracked+3.8% in 30d, above the Memory & Knowledge (RAG) median of +1.0%.
Last commit today, fresher than the median of 17d.
How it compares in Memory & Knowledge (RAG)
Ranked 279th of 1,545 by stars.
- Language
- Python
- License
- Apache License 2.0
- Contributors
- 94
- Forks
- 413
- Watchers
- 20
- Open issues
- 7
- Releases
- 9
- Created
- 2024-10-22
- Stars this week
- +14
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