Building Generative AI Applications with RAG - A Quick Start Guide

Learn to build and evaluate Retrieval-Augmented Generation (RAG) applications in this comprehensive technical talk that demystifies the rapid development of AI-powered chat systems. Explore the fundamental advantages and limitations of RAG architecture, master quick development techniques for functional applications, and gain hands-on experience with performance evaluation and testing methodologies. Discover essential Python packages and tools that accelerate development while understanding the key differences between RAG and traditional chat applications. Perfect for Python developers, data scientists, and AI enthusiasts seeking to expand their natural language processing capabilities, this presentation requires only basic Python knowledge and an interest in machine learning to get started with building robust, production-ready RAG solutions.