RAG Reinvented: Unleashing the Power of NVIDIA NIM for Next-Gen AI Applications

In this advanced session, we explore Retrieval Augmented Generation (RAG) and how to use NVIDIA Inference Micro-Service (NIM) architectures for scalable, enterprise-grade RAG applications. As organizations seek to enhance AI capabilities with domain-specific knowledge, RAG combines large language models with custom knowledge bases. We'll cover RAG fundamentals, NVIDIA NIM capabilities, microservice architecture design, advanced RAG concepts, and integration strategies. We'll also discuss vector database considerations, model fine-tuning, monitoring, security, compliance, and real-world case studies. This session is ideal for AI developers, data scientists, and enterprise architects aiming to advance their generative AI applications using NVIDIA's tools and services.