Build Spanish Q&A with Gemini RAG

Do you want to build AI systems that can accurately answer questions from extensive knowledge bases, even in Spanish? This course will guide you through the process of developing your own Retrieval Augmented Generation (RAG) tool using Gemini, enabling you to create powerful, context-aware Q&A applications tailored for Spanish speakers. By the end of this course, you will be able to design, implement, and test a functional RAG system that leverages modern AI models to provide precise answers based on retrieved information, specifically handling Spanish text data. What you'll learn: * Understand the fundamental concepts of Large Language Models (LLMs) and Retrieval Augmented Generation (RAG). * Learn to leverage Gemini's text capabilities for advanced language understanding and generation. * Implement vector embeddings and semantic search for efficient information retrieval from text. * Practice effective prompt engineering techniques to optimize RAG system responses. * Build a complete Q&A system designed to process and respond to queries in Spanish. * Explore basic methods for evaluating the accuracy and relevance of RAG output. Starting with foundational AI terminology and RAG architecture, the course progresses through practical steps of data preparation, embedding generation, retrieval, and integration with Gemini, culminating in a functional Spanish Q&A application. This course is designed for absolute beginners with no prior experience in AI or RAG systems. All concepts are explained clearly from the ground up, requiring no prerequisites. Start your journey into building intelligent, language-specific AI applications today.