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.
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An NVIDIA AI Blueprint providing a GPU-accelerated reference architecture for building video analytics agents. It combines vision language models (NVIDIA Cosmos), LLMs (Nemotron), RAG, and NVIDIA NIMs to enable video search, summarization, visual Q&A, real-time verified alerts, and automated reporting.
It gives you a reference implementation for video RAG and natural-language video search built on NVIDIA's model stack, so you don't assemble the pipeline from scratch.
Use it to
- Build a video search agent using natural language queries
- Generate summaries of long videos
- Answer visual questions about video content
- Set up real-time alerts on live video streams
- Automate video reporting workflows
For Developers building GPU-based video analytics and video RAG applications
- Role
- rag
- Language
- Python
- Licence
- custom (licence file present)
- Forks
- 393
- Open issues
- 9
- Last push
- 2026-09-17
- Latest release
- v1.0 · 2025-03-15
- Skills shipped
- 1