Do not treat this objective as a recognition exercise. Practise explaining and applying 'Build retrieval and grounding pipelines: Configure semantic search, hybrid search, and vector search for grounding' in a new scenario, then check your reasoning against the official source. Source context: Read in English Perform vector search and retrieval in Azure AI Search Module 7 Units Feedback Intermediate Developer Student Data Scientist Azure AI Search Learn how to perform vector search and retrieval in Azure AI Search. Learning objectives By the end of this module, you'll learn how to: Describe vector search Describe embeddings Run vector search queries using the REST API Add Prerequisites Familiarity with Microsoft Azure Familiarity with Azure AI Search Application development experience Introduction min What is vector search. min Prepare your search min Understand embedding min Exercise - Use the REST API to run vector search queries min Module assessment min Summary min Take the module assessment Module Assessment Results Assess your understanding of this module.
Objective
Build retrieval and grounding pipelines: Configure semantic search, hybrid search, and vector search for grounding