# 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.

Repository: https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization
Canonical: https://ross.abutalabs.com/products/video-search-and-summarization
Homepage: https://build.nvidia.com/nvidia/video-search-and-summarization
Language: C++
License: NOASSERTION
License Family: other
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, retrieval-augmented-generation, video-agent, video-rag, video-summarization, video-understanding, vision-agent, vision-language-model, real-time-video-analytics
Last push: 2026-08-26T20:31:05+00:00

## Health v2 (maintenance only)
Score: 83/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 82, longevity 48
- inputs: {"age_days": 680, "days_push": 7, "days_rel": 41, "gap_med": 77.5, "n_releases_24m": 7}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1824, forks 378 (observed 2026-08-28T04:05:41.209570+00:00)

## What it is
NVIDIA's GPU-accelerated AI Blueprint reference architecture for building video analytics agents that search, summarize, and reason over live or recorded video using natural language. It combines vision-language models (Cosmos), LLMs (Nemotron), RAG, and NVIDIA NIM microservices for real-time alerts, visual Q&A, clip retrieval, and automated reporting.

## Use cases
- search video archives with natural language queries
- summarize hours of long video footage
- ask visual questions about video content
- detect and verify real-time alerts with VLMs
- build video analytics agents with RAG
- retrieve relevant video clips automatically
- generate automated reports from video streams

## When to choose
- building GPU-accelerated video AI agents on NVIDIA infrastructure
- you need natural-language search and Q&A over live or archived video
- you want a reference architecture combining VLMs, LLMs, and NIM microservices
- you need real-time video intelligence with verified alerts and summarization

## When to avoid
- you have no NVIDIA GPU hardware or cloud access
- you need a lightweight CPU-only video processing pipeline
- you want a simple end-user app rather than a developer blueprint
- your use case is unrelated to video understanding or analytics

## Facets
- artifact type: framework
- maturity: active
- function: rag, video-processing, computer-vision, llm-inference, agent-framework, mcp, search-engine, nlp
- domain: computer-vision, artificial-intelligence, large-language-models
- platform: cloud, self-hosted
- tags: video-analytics, vision-language-models, video-summarization, nvidia-nim, multimodal-ai, video-search, reference-architecture, vision-agents, long-video-understanding, real-time-alerts, video, ai-agents, retrieval-augmented-generation, natural-language-processing, gpu, docker, linux

## Member repositories
- NVIDIA-AI-Blueprints/video-search-and-summarization (main) score 83

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:41.209570+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:19:42.437325+00:00, confidence not recorded.
  - readme: https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization (fetched 2026-08-28T04:05:41.209570+00:00, sha 9ed4a5ecb700)
  - homepage: https://build.nvidia.com/nvidia/video-search-and-summarization (fetched 2026-08-29T10:58:38.263066+00:00, sha 75434fec5ef8)
  - site_page: https://docs.api.nvidia.com/ (fetched 2026-08-29T10:58:38.266115+00:00, sha 3cc6f26f155a)
  - site_page: https://www.nvidia.com/en-us/about-nvidia/privacy-policy (fetched 2026-08-29T10:58:38.268332+00:00, sha 5362c58d0750)
  - site_page: https://www.nvidia.com/en-us/about-nvidia/privacy-center (fetched 2026-08-29T10:58:38.272267+00:00, sha b098377da9cc)
- Data as of 2026-08-30T08:39:29.467469+00:00.