📢 Announcement!! Azure OpenAI and Azure AI Search connectors are now Generally Available (GA)
Published Jun 09 2024 10:14 PM 5,581 Views
Microsoft

 

Announcing General Availability: Azure OpenAI and AI Search Connectors for Logic Apps

 

 

We are thrilled to announce the General Availability of the Azure OpenAI and AI Search connectors for Logic Apps. These new connectors integrate the power of Azure Open AI's natural language processing with Azure AI Search's intelligent search capabilities, enabling developers to build intelligent, AI-driven applications seamlessly. 

 

Innovate where you Integrate

Data is the cornerstone of any AI application, unique to each organization. Business processes, whether in the cloud or within a VNET, rely on this data and can be managed by modern or legacy applications. Regardless of where your data resides, Azure Logic Apps offers the ability to easily infuse AI into both new and existing business processes.

 

With over 1000 connectors to various applications and services, Logic Apps simplifies the integration of AI, enabling the development of Retrieval-Augmented Generation (RAG) applications. This seamless integration enhances the functionality and intelligence of your business processes, ensuring that your applications are both innovative and efficient.

 

By leveraging these connectors alongside AI services, organizations can transform their operations and generate intelligent insights like never before. Whether it's automating routine tasks, enhancing customer interactions and support, or generating insights, Azure Logic Apps provides a robust platform for embedding AI into your enterprise's fabric.

 

RAG-based Patterns for AI Applications using Azure Logic Apps

Using Logic Apps and these AI connectors, you can quickly build and productionize AI applications based on RAG pattern. Retrieval-Augmented Generation (RAG) combines retrieval and generative models to improve the accuracy and relevance of AI-generated content. This pattern is particularly useful in scenarios where precise information retrieval is crucial, such as:

 

Customer Support Automation

Automate customer support by generating accurate responses using Azure OpenAI and retrieving relevant information from knowledge bases with Azure AI Search.

 

Document Processing

Streamline document-heavy processes by summarizing, extracting key information, and translating documents with Azure OpenAI, while Azure AI Search enables quick document retrieval.

 

Content Generation

Create high-quality content for blogs and social media with the help of Azure OpenAI, and ensure its accuracy and relevance using Azure AI Search.

 

Personalized Recommendations

Build personalized recommendation systems by analyzing user behavior with Azure OpenAI and retrieving matching products, services, or content using Azure AI Search.

 

Healthcare Data Management

Enhance healthcare data management by summarizing patient records and extracting critical information with Azure OpenAI, while Azure AI Search helps in quickly locating specific patient information or research articles.

 

Financial Analysis and Reporting

Improve financial analysis by generating comprehensive financial reports using Azure OpenAI and retrieving relevant financial data and market trends with Azure AI Search.

 

Key Features and Capabilities

The connectors simplify backend processes with a codeless setup, reducing the complexity of integrating AI capabilities into workflows.

 

The Azure OpenAI Connector provides powerful AI functionalities such as generating embeddings, summarization, and chat completion, which are pivotal for creating sophisticated AI applications. Meanwhile, the Azure AI Search Connector enhances data retrieval with advanced vector and hybrid search operations.

 

You can ingest and retrieve both structured and unstructured data and in various formats such as documents, pdfs, json, text and more.

 

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Getting Started

To get started with the Azure OpenAI and Azure AI Search connector for Logic Apps, visit the MS Learn documentation.  Here, you will find detailed guides on how to set up and integrate these powerful tools into your workflows. You can also watch the demo video at the end of this article to learn more on how to build E2E RAG based AI application with Logic Apps. The sample shown in the demo is available in our GitHub repo here : logicapps/LogicApps-AI-RAG-Demo at master · Azure/logicapps (github.com)

 

What's Next

The General Availability of the Azure OpenAI and Azure AI Search connector for Logic Apps marks a significant step forward in the integration of AI into business processes. By leveraging these cutting-edge technologies, businesses can unlock new levels of efficiency, intelligence, and innovation. We are excited to see how you will use these capabilities to transform your workflows and drive success. We'd love to hear from you - please fill out this form ( aka.ms/raglogicapps) so that we can connect with you.

 

Stay tuned for more updates and case studies showcasing the impact of Azure OpenAI and Azure AI Search on various industries. As always, we are committed to supporting your journey towards a more intelligent and automated future.

 

 

 

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Last update:
‎Jun 19 2024 04:29 PM
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