Enterprise Search Using Generative AI App Builders

Finding the right information across fragmented enterprise data sources is a major challenge for modern organizations. This text-based course guides you through building intelligent, generative AI-powered search engines that deliver precise answers from your internal documents. You will transition from understanding basic search concepts to configuring robust enterprise search applications. You will learn how to connect diverse data sources, leverage modern Retrieval-Augmented Generation (RAG) patterns, and optimize search results for accuracy and safety. What you'll learn: - Understand the core concepts of semantic search, vector embeddings, and generative AI search architecture - Configure data ingestion pipelines to index structured and unstructured enterprise documents - Apply Retrieval-Augmented Generation (RAG) patterns to ground search results in verified internal data - Optimize search quality using tuning techniques, filters, and schema configurations - Implement enterprise-grade security, data privacy, and access controls within your search app - Evaluate search performance and accuracy using modern testing methodologies The course begins with foundational definitions of enterprise search and generative AI, then guides you step-by-step through setting up data stores, configuring search engines, and integrating conversational search interfaces. This course is designed for beginners, IT professionals, and business analysts looking to implement modern search solutions, with no prior machine learning experience required. Start reading to transform how your organization accesses and utilizes its internal knowledge.