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The Context-Aware Retrieval-Augmented Generation (CA-RAG) module leverages both Vector RAG and Graph-RAG as the primary sources for video understanding. During the Q&A workflow, the CA-RAG module extracts relevant context from the vector database and graph database to enhance temporal reasoning, anomaly detection, multi-hop reasoning, and scalability, thereby offering deeper contextual understanding and efficient management of extensive video data.

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Explore VSS Resources
from NVIDIA and Arango

Documentation, demos, developer guides, and more.

VSS: Configure the Databases with ArangoDB

VSS: Context-Aware RAG with ArangoDB

How to Integrate Computer Vision Pipelines with Generative AI and Reasoning

Generate a Video Knowledge Graph: NVIDIA VSS Blueprint with GraphRAG on ArangoDB

NVIDIA + Arango: Accelerating Video Search and Summarization with Contextual AI

Turn Text Into a Knowledge Graph with 70B LLM on DGX Spark

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Explore How Innovative Leaders Are Transforming with Arango

Recap: What NVIDIA GTC Made Clear

Arango AI Data Platform Overview

Arango AI Data Platform for Government

Arango AI Data Platform for Telecommunications

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