Azure-Search-Openai-Demo

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azure-search-openai-demo is a sample application for Retrieval-Augmented Generation (RAG) in Azure. It enables ChatGPT-style and Q&A experiences over user documents using Azure AI Search and Azure OpenAI.

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At a glance

Pricing

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Free tier

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API

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Skill level

Technical

About

What is azure-search-openai-demo?

azure-search-openai-demo is a sample application designed for Retrieval-Augmented Generation (RAG) within the Azure ecosystem. It integrates Azure AI Search for efficient document retrieval and leverages Azure OpenAI's large language models to facilitate interactive experiences. The tool specifically supports the creation of ChatGPT-style conversational interfaces and Q&A functionalities. Its primary purpose is to allow users to build a frontend experience that operates over their own custom documents, enhancing information access and interaction.

Best used for

Building custom conversational AI and Q&A experiences over proprietary documents using Azure services.

Common actions

Build RAG applications

Integrate AI Search

Implement conversational AI

Create Q&A systems

Develop custom frontends

"AI Agents"github copilotopen-sourcelow-code/no-codedeepfakeface swappingcollaborationautomated workflowworkflows

Capabilities

Key features

Retrieval-Augmented Generation
Azure AI Search integration
Azure OpenAI LLMs
ChatGPT-style interface
Q&A experiences

Target Audience

DevelopersAI EngineersData ScientistsSolution Architects

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

What are the typical Azure costs associated with running this demo application?

Running this demo involves costs for Azure AI Search (depending on index size and query volume), Azure OpenAI (based on token usage for LLM calls), and potentially Azure App Service or Azure Container Apps for hosting the application. Costs vary significantly based on usage and chosen SKUs.

Can I use this demo with my own private documents and data sources?

Yes, the primary purpose of this demo is to show how to build a RAG application over your own custom documents. You would need to ingest your data into Azure AI Search for the application to retrieve and use it with the LLM.

What level of technical expertise is required to deploy and customize this demo?

This demo is considered advanced. Users should have a strong understanding of Azure services (Azure AI Search, Azure OpenAI, App Services), Python or C# for backend development, and frontend web technologies for customization.

Does this demo support different large language models beyond those offered by Azure OpenAI?

The demo is specifically designed to leverage Azure OpenAI's large language models. While modifications might be possible, out-of-the-box it is tightly integrated with Azure OpenAI services for its LLM capabilities.

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Research & Education › AI Search Engines Productivity & Business › Document Management

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