You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.
A powerful Video RAG system that enables users to upload videos, automatically builds searchable indexes from transcripts, and answers questions using Google Gemini. Built with a focus on local processing and only free tools.
Multimodal Retrieval-Augmented Generation (RAG) system for video understanding. Enables semantic search and Q&A by indexing visual frames and audio context using vision-language models.
ASKORA is an intelligent RAG-powered system that lets users upload educational videos, automatically transcribe them, index their content into vector embeddings, and ask natural questions about any part of the video — with precise timestamped answers and references.
A Cross-Frame Multimodal Retrieval Augmented Generation (CFM-RAG) for Video Intelligence. It retrieves the most relevant multimodal evidence and empowers LLMs to deliver context-rich answers.
Semantic video search powered by Azure Content Understanding, Azure AI Search, and Azure OpenAI. Search videos with natural language, jump directly to relevant timestamps, and chat with video content.