Reference implementation of NVIDIA's Video Search and Summarization blueprint. It includes microservices for RTSP/ONVIF ingest, real-time VLM captioning and embeddings, behavior analytics, alert verification and long-video summarization, plus an MCP-based agent. It uses NVIDIA NIM models (Cosmos3 Nano Reasoner, Nemotron 3.5 Lightning 30B A3B) and deploys with Docker Compose, Helm or a Brev launchable.
Who it is for: Engineers building video analytics agents on NVIDIA GPUs
Strengths
Covers ingest, embeddings, analytics, alert verification and summarization in one repository
Agent exposes video tools over MCP; ships agentskills.io-compatible skills
Separate reference workflows for Q&A, alerts, search and long video summarization
Documents validated OS, driver and Docker versions, including Jetson and DGX targets
Weaknesses
Tied to NVIDIA GPUs, NIM microservices and NGC-hosted images
Hosting NIM locally requires an NVIDIA AI Enterprise developer license
Video embedding search workflow is marked alpha
Many services (Elasticsearch, Redis, Kafka) make setup heavy; README says it needs technical expertise
What it needs
GPU required
Compose
Needs NVIDIA NIM, NGC API key, Docker Engine 28.3.3 to below 29.5.0, Docker Compose v2.39.1+, NVIDIA Container Toolkit 1.17.8+, Elasticsearch, Redis, Kafka
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