Building RAG Applications from Scratch with NVIDIA NIM Microservices

Watch a 43-minute technical talk from NVIDIA's Rita Fernandes Neves demonstrating how to build Retrieval-Augmented Generation (RAG) systems using NVIDIA NIM microservices. Learn to create scalable, high-performance RAG applications through a hands-on exploration of NVIDIA AI Enterprise's NIM microservices, particularly focusing on NIM Retriever which provides text embedding and reranking capabilities. Discover how to integrate these services with various vector stores and frameworks to construct a functional chatbot from scratch. Originally presented at Data Science Festival Oktoberfest 2024, this technical practitioner-level presentation offers practical insights into deploying AI models securely across different environments while leveraging NVIDIA's enterprise-grade solutions.