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.
NVIDIA AI Blueprint for Video Search and Summarization (VSS) is a reference architecture for applications that use AI to search, analyze, question, and summarize live or recorded video. It is intended for building video analytics agents with vision-language models, language models, retrieval-augmented generation, and NVIDIA NIM microservices. The catalogue entries provide coding-agent rules, skills, commands, agents, instructions, and settings associated with the project.
Latest release v3.3.0 — VSS 3.3.0 · 21 Oct 2026
2 files for Claude Code, Codex and OpenCode: video-search-and-summarization, video-search-and-summarization AGENTS.md — 1,342 tokens loaded in every session.
AGENTS.md A 1,342 tok services/vios/.claude/settings.json A — These files are NVIDIA-AI-Blueprints/video-search-and-summarization's own configuration — they tell Claude Code, Codex and OpenCode how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.