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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.

Why this job: says: rag; topics: rag, retrieval-augmented-generation

Picture from the NVIDIA-AI-Blueprints/video-search-and-summarization README

What it does

NVIDIA AI Blueprint for Video Search and Summarization (VSS) combines vision-language models, RAG, and NVIDIA NIM microservices to deliver real-time video analytics, visual Q&A, alert verification, clip retrieval, and long-video summarization.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 6 days ago
Stars
1,971
+12 this week
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
v3.3.0
Released 19 days ago
Built with
Python
56% of the code

Is it looked after?

Contributors
15
Last 90 days
Issues
93% closed
7 still open
Pull requests
1,973 merged
244 waiting
Releases
9
5 in the last year

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More: languages, topics and project record

Languages

  • Python 56%
  • C++ 23%
  • TypeScript 8%
  • Shell 5%

Topics

  • rag
  • vlm
  • skills
  • video-analytics
  • video-search
  • computer-vision
  • generative-ai
  • long-video-understanding
  • model-context-protocol
  • multimodal-ai
  • natural-language-search
  • nvidia-nim

Project record

  • JobRAG and search
  • StatusListed
  • Commits3,124
  • Forks418
  • Watching20
  • Stars in 28 days+52
  • CreatedOct 22, 2024
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

Type to search.

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