
Vss Deploy Video Embedding
Use this skill when deploying, operating, integrating, or customizing the VSS RT-Embed...
Install
npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-deploy-video-embedding -g -a claude-code -y- Category
- AI and agents
- Updated
- 4d ago
- License
- Apache-2.0
- Context cost
- Mediumabout 2,098 tokens
- Runs scripts
- No, instructions only
What it does
Use this skill when deploying, operating, integrating, or customizing the VSS RT-Embed Video Embedding microservice. Covers standalone Docker Compose deployment, the `/v1` REST API for text/video embeddings and live streams, Redis/Kafka/OTel integration, troubleshooting, and bring-your-own-model (BYOM) custom embedding backends, with VideoPrism as an example. Do not use for RT-CV, RT-VLM, VSS Agent, or general VSS deployment work that does not include RT-Embed.
VSS Video Embedding (RT-Embed)
Use this skill for the RT-Embed video embedding microservice, including the standard Cosmos-Embed1 deployment path and custom/BYOM embedding model work.
Trigger phrases: vss-deploy-video-embedding, RT-Embed, rtvi-embed,
video embedding service, Cosmos-Embed1, embed live stream, embed video file, generate video embeddings, text embedding for video search,
RT-Embed BYOM, VideoPrism embed, custom embed model,
MODEL_IMPLEMENTATION_PATH, MODEL_REPOSITORY_SCRIPT_PATH, bring your own embedding model.
Do not use this skill for RT-CV, RT-VLM, VSS Agent, or general VSS deployment work unless the request deploys, operates, integrates, or customizes RT-Embed.
When to Use
- Deploy, size, upgrade, roll back, or tear down standalone RT-Embed (Cosmos-Embed1 or a custom/BYOM model)
- Call RT-Embed's
/v1API for text/video embeddings, live streams, model listing, health, metrics - Wire RT-Embed into another service with Redis, Kafka, OpenTelemetry, auth, or storage
- Add or validate a custom/BYOM embedding backend
- Debug RT-Embed readiness, model/cache startup, or Redis/Kafka reachability
Service Snapshot
- Skill:
vss-deploy-video-embedding. - Legacy 3.1 name: RT-Embed.
- Compose service:
rtvi-embed. - Container name:
vss-rtvi-embed. - Image:
ghcr.io/nvidia-ai-blueprints/vss/vss-rt-embed(override withVSS_RT_EMBED_IMAGE). - Default tag:
develop-latest(override withVSS_RT_EMBED_TAG; usedevelop-latest-sbsafor an SBSA/DGX Spark host). - Profile:
rtvi-embed. - Container port:
8000(host-side${RTVI_EMBED_PORT}). - Default model:
cosmos-embed1-448pfromnvidia/Cosmos-Embed1-448p. - BYOM loader variables:
MODEL_PATH,MODEL_IMPLEMENTATION_PATH,MODEL_REPOSITORY_SCRIPT_PATH. - Health endpoint:
GET /v1/ready. - Healthcheck startup grace:
1200s(20 minutes) on first boot.

