NVIDIA-AI-Blueprints/video-search-and-summarization
Cursor rule Cursor
Cursor rule "vst_bdd_project" from NVIDIA-AI-Blueprints/video-search-and-summarization, covering vst bdd test suite rules, core principles, test structure, configuration and testing.
NVIDIA-AI-Blueprints/video-search-and-summarization
Command Claude Code
Configure backend IP in config.tsx, install deps, and start the UI dev server.
NVIDIA-AI-Blueprints/video-search-and-summarization
Command Claude Code
Build the VST UI and deploy the static files into the vios tree (services/vios of the video-search-and-summarization repo), both ingress/vst-ui and webroot, then commit.
NVIDIA-AI-Blueprints/video-search-and-summarization
Command Claude Code
This skill should be used when the user asks to "add a feature", "fix a bug", "create a component", "implement UI", "update the VST UI", "change the dashboard", "modify the video player", or any other development task on the VST web client (vst-ui-ts TypeScript/React codebase). Covers the full development loop: plan →…
NVIDIA-AI-Blueprints/video-search-and-summarization
Skill Claude CodeCodex
Use this skill to ask the VSS agent's videounderstanding tool a fresh visual question about a recorded clip. Not for prior tool output, search hits, or metadata-answerable questions.
NVIDIA-AI-Blueprints/video-search-and-summarization
Skill Claude CodeCodex
Use this skill when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). Not for VSS profile deploy or video-search ingestion.
NVIDIA-AI-Blueprints/video-search-and-summarization
Skill Claude CodeCodex
Use this skill when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice. Trigger when the user says things like 'deploy rtvi-cv', 'start warehouse 2d', 'add a stream', 'check rtvi-cv health', or 'stop the perception container'. Not for VLM…
NVIDIA-AI-Blueprints/video-search-and-summarization
Skill Claude CodeCodex
Deploy and operate the RTVI-CV-3D microservice as MV3DT (MODE=mv3dt): per-camera DeepStream perception plus BEV Fusion over calibrated cameras. Supports the bundled sample dataset, custom video files, and RTSP streams, and chains to vss-generate-video-calibration when calibration is missing. Use vss-deploy-profile for…
NVIDIA-AI-Blueprints/video-search-and-summarization
Skill Claude CodeCodex
Use to select, configure, deploy, verify, debug, or tear down a VSS profile (base, search, lvs, warehouse, edge). Not for standalone microservices — use the vss-deploy- skill.
NVIDIA-AI-Blueprints/video-search-and-summarization
Skill Claude CodeCodex
Use this skill when deploying, operating, or integrating the VSS 3.2 GA RT-Embed Video Embedding microservice. Covers Docker Compose bring-up, GPU and storage prerequisites, the /v1 REST API (file uploads, text and video embeddings, live RTSP streams, health and metrics), Redis/Kafka/OTel integration, common failure…
NVIDIA-AI-Blueprints/video-search-and-summarization
Skill Claude CodeCodex
Use to run AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, and to deploy vss-auto-calibration when needed. Do not use for non-AMC calibration or runtime analytics.
NVIDIA-AI-Blueprints/video-search-and-summarization
Skill Claude CodeCodex
Generates VSS video summary reports with LVS HITL and optional Enterprise RAG document grounding. Trigger when the user asks for a frag/RAG-assisted video report, knowledge-enhanced analysis, or Enterprise RAG context in a video summary.
Instructions file CodexOpenCode
Instructions for NVIDIA-AI-Blueprints/rag, covering nvidia rag blueprint, project structure, development commands, backend (python) and optional: ragas benchmark cli (see scripts/eval/readme.md).
Instructions file
Instructions for NVIDIA-AI-Blueprints/rag, covering nvidia rag blueprint, project structure, development commands, backend (python) and optional: ragas benchmark cli (see scripts/eval/readme.md).
Skill Claude CodeCodex
NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. Handles any RAG action: deploy, install, start, enable, disable, toggle, change, configure, troubleshoot, debug, fix, shutdown, stop, or tear down any RAG feature or service (Agentic RAG, VLM, guardrails, query rewriting, models, search, ingestion…
Skill Claude CodeCodex
Filesystem RAG benchmarks: corpus/, train.json, evaluaterag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.
Skill Claude CodeCodex
Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or for deploying / repairing services (use rag-blueprint).