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Retrieval Augmented Generation (RAG) with Azure AI Search

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.

Beginner
29m
(16)

Created by Harit Himanshu

Last Updated Sep 06, 2024

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  • Course

Retrieval Augmented Generation (RAG) with Azure AI Search

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.

Beginner
29m
(16)

Created by Harit Himanshu

Last Updated Sep 06, 2024

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This course is included in the libraries shown below:

  • AI
  • Cloud
What you'll learn

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
Beginner
29m
(16)
Table of contents

About the author
Harit Himanshu - Pluralsight course - Retrieval Augmented Generation (RAG) with Azure AI Search
Harit Himanshu
16 courses 4.2 author rating 449 ratings

Harit Himanshu is an engineer by profession with the deep interest in applying technologies to solve business problems. Harit is passionate about writing clean, modular, testable code and believes in automating almost everything.

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