WWT's Knowledge Assistant, powered by NVIDIA's Multimodal PDF Data Extraction Blueprint, accelerates AI outcomes and minimizes hallucinations. Using retrieval augmented generation (RAG), build intelligent chatbots and AI agents that deliver accurate, context-rich insights from your enterprise data.

Welcome to part 1 of the videos series about the RAG Lab Infrastructure built in collaboration with NetApp, NVIDIA, and World Wide Technology. This video series will take you behind the scenes of this state-of-the-art lab environment inside the AI Proving Ground from WWT, powered by the Advanced Technology Center.

Welcome to part 2 about our RAG lab infrastructure built in collaboration with NetApp, NVIDIA, and WWT. NVIDIA NIM microservices is a suite of user-friendly microservices that facilitate the deployment of generative AI models, such as large language models (LLMs), embeddings, re-rankings, and others, across various platforms. NVIDIA NIM microservices simplify the process for IT and DevOps teams to manage LLMs in their environments, providing standard APIs for developers to create AI-driven applications like copilots, chatbots, and assistants. It leverages NVIDIA's GPU technology for fast, scalable deployment, ensuring efficient inference and high performance.