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azure-search-openai-demo

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Python

Project Description

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

azure-search-openai-demo: A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search

Project Title

azure-search-openai-demo — A Python-based sample app for Retrieval-Augmented Generation pattern using Azure AI Search and OpenAI for ChatGPT-style experiences.

Overview

The azure-search-openai-demo project is a Python-based sample application that demonstrates how to create ChatGPT-like experiences over your own documents using the Retrieval-Augmented Generation (RAG) pattern. It leverages Azure OpenAI Service to access GPT models and Azure AI Search for data indexing and retrieval, providing a powerful tool for businesses to integrate AI-driven chat and Q&A interfaces into their applications.

Key Features

  • Integration of Azure AI Search for document indexing and retrieval.
  • Utilization of Azure OpenAI Service for accessing GPT models.
  • Support for multi-turn chat and single-turn Q&A interfaces.
  • Rendering of citations and thought process for each answer.
  • UI settings for tweaking behavior and experimenting with options.
  • Support for many document formats and integrated vectorization.

Use Cases

  • Businesses can use this app to create internal knowledge bases that allow employees to ask questions about company policies, benefits, and job descriptions.
  • Educational institutions can implement this solution to provide students with a Q&A platform that accesses educational materials.
  • Customer support teams can leverage this app to offer AI-driven assistance, reducing response times and improving customer satisfaction.

Advantages

  • Leverages powerful Azure AI services for robust search and language model capabilities.
  • Provides a customizable UI for adjusting the behavior of the chat and Q&A interfaces.
  • Supports a wide range of document formats, making it versatile for various types of content.
  • Offers a secure and scalable solution for businesses looking to integrate AI into their applications.

Limitations / Considerations

  • The application requires an Azure account and may incur costs depending on usage.
  • Additional security features may be necessary for production environments.
  • The complexity of the setup may require有一定的 technical expertise to deploy and manage.

Similar / Related Projects

  • LangChain: A more general framework for building language model applications, not specifically tied to Azure services.
  • GPT-3-Chat-Bot: A simpler chatbot application using GPT-3, without the integration of Azure AI Search.
  • Azure-Search-Java-Samples: Java-based samples for Azure AI Search, offering a different programming language option for similar use cases.

Basic Information


📊 Project Information

🏷️ Project Topics

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🎮 Online Demos

📚 Documentation


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Project Information

Created on 2/8/2023
Updated on 11/3/2025