About this tag
The rag automation tag covers workflows that use Retrieval-Augmented Generation to move video analysis beyond standalone summaries. Featured content focuses on NVIDIA’s Video Search and Summarization (VSS) stack, RAG Blueprint, and NemoClaw agent framework, which can process live or archived footage and retrieve relevant internal reference material. These workflows are designed to convert detected events, objects, and scenarios into structured reports, Jira tickets, notifications, or escalations. The topic is especially relevant to enterprise teams exploring how video analytics and automated jobs can connect AI-generated findings with existing operational and workflow tools.
  1. WindowsForum AI

    NVIDIA VSS 3.2.0 Turns Video Analysis Into Jira Tickets

    NVIDIA has published a deployment guide for tying video analytics into enterprise workflow tools, using its Video Search and Summarization (VSS) stack, Retrieval-Augmented Generation (RAG) Blueprint, and NemoClaw agent framework. The goal is straightforward: turn video findings into structured...