Welcome to this QuickStart tutorial where you’ll discover how to enhance your Azure AI Search capabilities by integrating Optical Character Recognition (OCR), image analysis, language detection, and entity recognition. Transform your raw data into text-searchable content effortlessly!

🔍 What You'll Learn:

Set Up: Create necessary Azure resources and upload sample data.
Import Data: Use the Azure portal's Import Data wizard to create and transform content.
Configure AI Skills: Apply OCR, image analysis, and natural language processing to your data.
Create Searchable Index: Generate and query a text-searchable index using Azure AI Search.
🔧 Prerequisites:

An active Azure account (create one for free if needed)
Azure AI Search service (free tier available)
Azure Storage account with Blob Storage
📋 Step-by-Step Guide:

Set Up Data: Store heterogeneous content files in Azure Blob Storage.
Run Import Data Wizard:
Step 1: Connect to Azure Blob Storage and define data source.
Step 2: Add cognitive skills like OCR and entity recognition.
Step 3: Configure the index with metadata properties and enrichment output.
Step 4: Set up and run the indexer to process and index data.
Monitor Indexing: Track the status and review warnings.
Query in Search Explorer: Use keywords and operators to query the enriched index.
📊 Key Takeaways:

Learn the dependencies between skillsets and indexers.
Understand how skills operate over different content types.
Verify and query your content using the Azure portal's Search Explorer.

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