vss-deploy-video-embedding skillA
vss-deploy-video-embedding is agent-read markdown (skill) from nvidia-ai-blueprints/video-search-and-summarization: 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..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 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. ## 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 with `VSS_RT_EMBED_IMAGE`). - **Default tag:** `develop-latest` (override with `VSS_RT_EMBED_TAG`; use `develop-latest-sbsa` for an SBSA/DGX Spark host). - **Profile:** `rtvi-embed`. …
Read the whole file at its exact version.
How to install
mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-video-embedding@v3.3.0mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-video-embedding@sha256:7fad864694469aeePin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_qqdt5hjube7vaxhx)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v3.3.0 latest | 2026-09-02 | f4e197d | 8,700 B | A | view · diff |
| v3.3.0 | 2026-09-01 | fdf50ba | 7,998 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8700 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
nvidia-ai-blueprints/video-search-and-summarization · 1,876 stars · license NOASSERTION · pushed 2026-09-24 · branch develop
API
GET https://markdownregistry.com/api/v1/artifacts/art_qqdt5hjube7vaxhx GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-video-embedding GET https://markdownregistry.com/api/v1/blob/7fad864694469aee5e676341fd71fb4128afff0adeb14f3daee1a56737e9d1d3
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