Retrieval Augmented Generation (RAG) with Azure AI Search
Retrieval Augmented Generation (RAG) with Azure AI Search
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 29m | 98 MB
Instructor: Harit Himanshu
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 29m | 98 MB
Instructor: Harit Himanshu
Discover the power of Azure AI Search. This course will teach you how to implement Retrieval Augmented Generation (RAG) for advanced search and generative AI applications using real-world data.
Organizations often struggle with efficiently retrieving and leveraging large amounts of data for advanced AI applications. In this course, Retrieval Augmented Generation (RAG) with Azure AI Search, you’ll learn to implement advanced search and generative AI solutions.
First, you’ll explore the capabilities and features of Azure AI Search as an enterprise-ready vector database. Next, you’ll discover how to ingest, preprocess, and vectorize data for effective search and retrieval. Finally, you’ll learn how to implement different search methods, including full-text, vector, and hybrid search, to deliver highly relevant responses.
When you’re finished with this course, you’ll have the skills and knowledge of Azure AI Search needed to create sophisticated AI search and retrieval applications.
Retrieval Augmented Generation (RAG) with Azure AI Search
