Microsoft’s Azure AI Search now features the GenAI Prompt Skill and a no-code Logic Apps ingestion wizard, streamlining data ingestion and enrichment for RAG-ready indexes. These tools accelerate multimodal data processing, improve search relevance, and simplify building AI-powered search applications. Unique :
Simplify Your Data Ingestion Pipeline with Azure AI Search
If you’re deep into AI and data, Microsoft just dropped some game-changing updates for Azure AI Search. These new features focus on speeding up data ingestion and enriching content effortlessly. The goal? To help you build Retrieval-Augmented Generation (RAG) apps faster and smarter.
What’s New: GenAI Prompt Skill & Logic Apps Integration
First up, the GenAI Prompt Skill is now in public preview. It taps into Azure AI Foundry’s chat-completion models to enrich your data during indexing. This means you can automatically generate image captions, summarize content, or classify sentiment without extra coding.
“The GenAI Prompt Skill enables sophisticated data transformations during the indexing process.”
Alongside this, Microsoft introduced a no-code Logic Apps ingestion wizard right inside the Azure AI Search portal. It supports multiple connectors like SharePoint Online, OneDrive, and Amazon S3, making data ingestion a breeze. No more wrestling with complex pipelines—just point, click, and ingest.
Major Updates: How These Features Work Together
The GenAI Prompt Skill works by integrating directly into your indexing pipeline. It processes documents, images, and multimodal content, transforming them into enriched, searchable data. For example, it can turn images into descriptive text or summarize lengthy documents for quicker search results.
Meanwhile, the Logic Apps integration automates data ingestion and vectorization. It chains steps like document parsing and embedding creation, producing RAG-ready indexes faster than ever. Plus, it supports incremental refreshes, so your data stays fresh without full re-indexing.
“These features reduce data preparation time and help developers spin up RAG-ready indexes more quickly.”
Built-In Indexers vs. Logic Apps Integration
- Built-In Indexers: Support Azure-native sources like Blob Storage and SQL, running within Azure AI Search with AI enrichment billed separately.
- Logic Apps Integration: Offers flexible connectors, customizable workflows, and pay-as-you-go pricing, perfect for complex or hybrid data sources.
Why This Matters for Developers
By combining AI-powered enrichment and no-code ingestion, Azure AI Search lets you focus on building innovative apps—not plumbing data pipelines. This means faster time-to-market for RAG applications with richer, more relevant search experiences.
Also, Microsoft emphasizes responsible AI use, encouraging adherence to ethical guidelines when deploying the GenAI Prompt Skill.
Getting Started
Ready to dive in? The new Logic Apps wizard in the Azure portal guides you through creating ingestion pipelines with ease. Meanwhile, the GenAI Prompt Skill is accessible via the latest REST API and SDKs for Python, .NET, and Java.
In short, Azure AI Search is leveling up your data ingestion and enrichment game—making multimodal, AI-powered search smarter and simpler.
From the New blog articles in Microsoft Community Hub
Windows Server Devices Now Recognized as a New OS in Intune Microsoft has announced that Windows Server devices are Read more
Microsoft Power Platform is leading the way in AI-generated low-code app development. With the help of AI, users can quickly Read more
Microsoft Intune is an enterprise mobility management platform that helps organizations manage mobile devices, applications, and data. The October edition Read more
Microsoft Intune has released its November edition, featuring new updates to help IT admins better manage their organization’s mobile devices. Read more
