From the course: Azure for Developers: Retrieval-Augmented Generation (RAG) with Azure AI
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Challenge: Create a RAG solution using Azure AI Search - Azure AI Services Tutorial
From the course: Azure for Developers: Retrieval-Augmented Generation (RAG) with Azure AI
Challenge: Create a RAG solution using Azure AI Search
(upbeat music) - [Instructor] It's time for a challenge. You are tasked to create a RAG solution using Azure AI Search. Our data set is comprised of PDF documents with product information about the Contoso company. Here's a sample of these documents. Your task is to create a chat application that answers questions from these documents. The steps in this challenge are enumerated in this notebook. You need to set up an Azure AI resource Azure OpenAI and Azure Storage. Remember that you need to enable the system assigned manage identity for AzureAI Search and provide the appropriate rules to access Azure Open AI and Azure Storage. You will then create an index named product-index. Fields of your document should contain the title of the document, document content and contentVector. Vector size is 3,072 using the text embedding 3 large model. You'll upload your product files into a blob storage container named products and you should create a data source named product-ds so that the…
Contents
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RAG using Azure AI Search4m 12s
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(Locked)
Preparing your resources for RAG7m 25s
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(Locked)
Creating a search index6m 34s
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(Locked)
Creating a data source2m 21s
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(Locked)
Creating a skillset and indexer7m 37s
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(Locked)
Querying your data4m 18s
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(Locked)
Azure AI Search: Import and vectorize data4m 39s
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(Locked)
Sending query results to a language model3m 16s
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(Locked)
Other approaches5m 37s
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(Locked)
Challenge: Create a RAG solution using Azure AI Search2m 21s
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(Locked)
Solution: Create a RAG solution using Azure AI Search3m 47s
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