video-search-and-summarization
by NVIDIA-AI-Blueprints (organization)
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… (description from the project’s GitHub page)
Repository facts
- Stars
- 1,931
- Forks
- 412
- Open issues and pull requests
- 243
- Primary language
- Python
- License
- Apache License 2.0 (Apache-2.0)
- Owner
- NVIDIA-AI-Blueprints · Organization
- Created
- Oct 22, 2024
- Last push
- Oct 18, 2026
Topics
- computer-vision
- generative-ai
- long-video-understanding
- model-context-protocol
- multimodal-ai
- natural-language-search
- nvidia-nim
- rag
- real-time-video-analytics
- retrieval-augmented-generation
- skills
- video-agent
- video-analytics
- video-rag
- video-search
- video-summarization
- video-understanding
- vision-agent
- vision-language-model
- vlm
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