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NVIDIA AI Blueprints avatar

Video Search and Summarization

Reference architecture for AI agents that search and summarize video

  • Agent frameworks and tools
  • AI models and runtimes
View on GitHub
Website

What it is

A GPU-based reference stack from NVIDIA for building agents that work over live camera streams and recorded footage. It combines vision language models, embeddings, object detection and tracking, and RAG to answer questions about video, search archives in plain language, summarize long recordings, and check live alerts before they fire, exposing its tools over MCP. Developers and ML engineers building video analytics for warehouses, smart spaces, or procedure checks deploy and customize its microservices and web UI.

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Facts

Stars
1,936 GitHub stars.
1,936

Forks
413
Commits
2,999
Contributors
89
Language
Python
License
Apache-2.0
Last commit
Oct 20, 2026
On GitHub since
October 2024
First release
March 2025
Platforms
web, Linux, self-hosted
Self-hostable
Yes
Tags
  • semantic-search
  • object-detection
  • multimodal
  • computer-vision
  • ai-agents
  • rag

Last synced from GitHub on Oct 20, 2026

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