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We’re excited to announce that Vectorize now supports Azure AI Search as a vector database option for your RAG pipelines! This new integration lets you leverage Microsoft’s powerful AI-powered search capabilities directly within your Vectorize workflows—giving you more flexibility and choice when building retrieval-augmented generation (RAG) applications.

What is Azure AI Search?

Azure AI Search (formerly Azure Cognitive Search) is Microsoft’s cloud-based search service for building rich search experiences in web, mobile, and enterprise apps. With built-in AI capabilities, it now supports storing and searching vector embeddings, making it an excellent fit for RAG use cases.

Why Use Azure AI Search with Vectorize?

• Stay in the Microsoft Ecosystem If you’re already using Azure services, keeping your vector data within the Microsoft ecosystem is seamless and secure.
• Advanced Search Features Leverage Azure AI Search’s semantic search, filtering, and ranking to power more relevant, contextual results.
• Scalable Performance Azure AI Search is designed for large-scale workloads, delivering high throughput and low latency for your vector operations.
• Hybrid Search Capabilities Combine traditional keyword search with vector similarity search for richer, more comprehensive retrieval.

How to Get Started

Getting started with Azure AI Search in Vectorize is simple:

1. Create an Azure AI Search service in your Azure portal
2. In Vectorize, go to Vector Databases and select New Vector Database Integration
3. Choose Azure AI Search from the available options
4. Enter your Azure AI Search service name and API key
5. Create a new RAG pipeline using your Azure AI Search integration

👉 For step-by-step instructions, check out our Azure AI Search documentation.

Use Cases

This integration is particularly valuable for:

• Enterprise Knowledge Bases Organizations already invested in Microsoft services can build powerful RAG pipelines using internal documentation and knowledge bases.
• Compliance-Focused Deployments For teams with strict data residency or compliance requirements within Azure, this integration ensures your vector data stays inside the Microsoft cloud.

What’s Next?

This integration is currently in beta, and we’re working on additional features and optimizations. We welcome your feedback as you explore this new capability!

Try out the Azure AI Search in Vectorize today and let us know what you think.