# Vss Generate Video Report Rag

Generates VSS video summary reports with LVS HITL and optional Enterprise RAG document...

- Repository: https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization (1959 stars)
- Category: AI and agents
- License: Apache-2.0
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-generate-video-report-rag -g -a claude-code -y`
Codex: `npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-generate-video-report-rag -g -a codex -y`
Cursor: `npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-generate-video-report-rag -g -a cursor -y`
Gemini CLI: `npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-generate-video-report-rag -g -a gemini-cli -y`

## Description

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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# VSS Generate Video Report RAG, Video Analysis with Enterprise RAG

Generate video summary reports using the LVS profile's RAG-enabled agent config.
This skill adds Enterprise RAG document grounding and guided human-in-the-loop
(HITL) parameter collection on top of the VSS agent.

Always run `curl` commands yourself; never instruct the user to run them.

## Enable Enterprise RAG on the LVS Profile

The repository ships the RAG-enabled LVS agent config at
`deploy/docker/developer-profiles/dev-profile-lvs/vss-agent/configs/config_rag.yml`.
It is a superset of the default LVS config: regular caption retrieval remains
enabled, and `frag_retrieval` adds Enterprise RAG document grounding.

Use the normal `/vss-build-vision-ai` workflow for deployment. The source
`.env` and `overrides.env` remain read-only; initialize `generated.env` from
`overrides.env` and apply non-secret overrides there.
`generated.env` is ignored by the repository, but it is still a plaintext file:
do not commit it, paste it into logs, or store long-lived credentials there.
Prefer a vault, Docker secrets, or ephemeral shell environment variables for
API keys.

### Step 1: Configure the generated env file

```bash
REPO=${REPO:-$(git rev-parse --show-toplevel)}
cd "$REPO"
cp deploy/docker/developer-profiles/dev-profile-lvs/overrides.env \
  deploy/docker/developer-profiles/dev-profile-lvs/generated.env
```

Set these non-secret values in `generated.env`:
- `HOST_IP`, host IP (`hostname -I | awk '{print $1}'`)
- `VSS_AGENT_CONFIG_FILE=./deploy/docker/developer-profiles/dev-profile-lvs/vss-agent/configs/config_rag.yml`
- `RAG_SERVER_URL`, Enterprise RAG server HTTP endpoint (defaults to `http://rag-server:8081/v1`)
- `KNOWLEDGE_COLLECTION`, default Enterprise RAG collection for `frag_retrieval`

The rest: https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization/blob/HEAD/skills/operations/vss-generate-video-report-rag/SKILL.md