Azure AI Engineer Associate: Introducing Azure AI Search

The starring role in the AI-102 exams "Implementing Knowledge Mining and Information Extraction Solutions" domain belongs to Azure AI Search. This service, which has had several names in the past, most recently Azure Cognitive Search, is the second-most important service in the AI-102 curriculum, after Azure OpenAI. Both those services are key in implementing RAGs, and Azure AI Search provides the vector search capabilities that make such architectures possible.In this course, explore full-text search and the inverted index, as well as vector search and the intuition behind embeddings. Discover Azure AI Search – its history and evolution, competitors and use-cases, and the reasons for its prominence and success today. Delineate the parts played by the index, indexer, and data source, as well as the importance of the schema of the index. Finally, learn how to work with the schema of the JSON and distinguish between attributes such as searchable, sortable, facetable, filterable and retrievable.This course is part of a collection that prepares learners for the Designing and Implementing a Microsoft Azure AI Solution (AI-102) exam.