How to make your data searchable with Azure Search and AI | Azure Tips and Tricks

How to Make Your Data Searchable with Azure Search and AI | Azure Tips and Tricks

Creating a compelling search experience is challenging. Azure Search provides a search engine service that simplifies the process of detailing, analyzing data, and enhancing your results. Let's try it out!

Step 1: Setting Up Azure Search

Start by creating a new Azure Search instance.

1. Create the Instance: Navigate to your Azure portal, select an existing resource group, and specify the URL and location for the search service.
2. Scale the Service: Optionally, scale the service with more partitions to handle increased data volume.
3. Create the Service: Once you’ve configured it, go ahead and create the service.

Step 2: Data Import and Skillset Configuration

Once the Azure Search instance is ready:

1. Import Data: Click on "Import Data" and pick a data source. You can use a sample dataset like real estate data from the US.
2. Enhance Search Results: Create a skillset to enhance the search results. This includes targeting specific fields such as the description field, and processing the data with AI capabilities.
3. Configure Skills: For instance, you can enable the extraction of key phrases, translation of text into different languages, and sentiment analysis.

Step 3: Customize and Create Index

1. Customize the Index: Specify which fields in your dataset can be searched and set filters.
2. Create the Index: Build and maintain the index to make your data searchable.
3. Configure Search Explorer: Use the Search Explorer to start searching the indexed data. The results will be displayed in JSON format, including the enhancements from the skillset.

Step 4: Building and Testing

1. Generate Interface: You can generate a user interface for the search index to test its functionality. This will be incorporated into the Azure portal in the future.
2. Customize Index Settings: Go back to your search index settings in the Azure portal to make any required changes.
3. Generate the App: Utilize the Azure Search SDK to create an app that uses your search index. This app can include features like autocomplete, filters, and sliders.

This process makes it easier to create a powerful search engine service using Azure Search. Check it out and enhance your application's search capabilities today!

Keywords

• Azure Search
• Search Engine Service
• Data Analysis
• Skillset Configuration
• Key Phrase Extraction
• Sentiment Analysis
• JSON Format
• Search Explorer
• SDK

FAQ

Q: What is Azure Search? A: Azure Search is a search-as-a-service solution that allows you to add sophisticated search capabilities to your applications without managing infrastructure.

Q: How do I start using Azure Search? A: Begin by creating a new Azure Search instance in your Azure portal. Configure the URL, location, and optionally scale the service to meet your needs.

Q: What kinds of data enhancements can I make using Azure Search? A: Azure Search allows you to enhance data with features like key phrase extraction, text translation, and sentiment analysis.

Q: How do I customize the search index? A: You can customize the index by specifying searchable fields and filters. This is done during the index creation process.

Q: Can I test the search index? A: Yes, you can use the Search Explorer to search through the indexed data and see the results in JSON format.

Q: How can I create an app that uses Azure Search? A: You can use the Azure Search SDK to build an app that utilizes your search index. This app can include features such as autocomplete and various filters and sliders.