Aisearch-Openai-Rag-Audio

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aisearch-openai-rag-audio is an open-source AI agent tool that implements the VoiceRAG pattern for interactive voice generative AI experiences. It uses Azure AI Search and Azure OpenAI's gpt-4o-realtime-preview model to power voice-based applications.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is aisearch-openai-rag-audio?

aisearch-openai-rag-audio is an open-source sample implementation of the VoiceRAG pattern, designed to create interactive voice generative AI experiences. This tool leverages Azure AI Search for retrieval-augmented generation (RAG) and Azure OpenAI's gpt-4o-realtime-preview model for real-time audio processing and response generation. It enables developers to build applications with voice interfaces that capture audio input, process it through a RAG system, and generate audio output. Key features include voice input/output, RAG capabilities for answering questions from a knowledge base, and citations for search results. The project provides infrastructure as code and a Dockerfile for deployment to Azure Container Apps, and can also be run locally, making it a flexible solution for developers looking to integrate advanced voice AI into their applications.

Best used for

Ideal for developers who need to build interactive voice AI applications, integrate RAG capabilities with Azure AI Search, and leverage real-time audio processing from Azure OpenAI. Especially valuable for creating voice assistants or conversational AI systems that require dynamic information retrieval and natural language responses.

Common actions

build voice applications

integrate RAG

process real-time audio

deploy AI agents

automated workflowdeepfakelow-code/no-codeworkflowsopen-sourceface swappinggithub copilotcollaboration"AI Agents"

Capabilities

Key features

Voice interface
Retrieval Augmented Generation (RAG)
Audio output
Citations for search results
Real-time API integration
Azure AI Search integration
Azure OpenAI GPT-4o integration

Target Audience

developer

Integrations

azure-ai-searchazure-openai

Pricing & Plans

Open Source

Free

FAQs

What Azure services are required to run aisearch-openai-rag-audio?

To run this application, you will need Azure AI Search, Azure OpenAI (specifically the gpt-4o-realtime-preview model), Azure Container Apps for deployment, Azure Blob Storage, and Azure Monitor. These services will incur costs based on usage.

Can I run aisearch-openai-rag-audio locally without deploying to Azure?

Yes, you can run the application locally. You will need to install required tools like Azure Developer CLI, Node.js, Python, and Git. You can then configure your local environment to point to existing Azure services or use the provided infrastructure as code to provision them.

What is the VoiceRAG pattern demonstrated by this tool?

The VoiceRAG pattern combines voice as a user interface with Retrieval Augmented Generation (RAG). This tool uses the browser's microphone for input, Azure AI Search for RAG to answer questions from a knowledge base, and Azure OpenAI's GPT-4o Realtime API for audio output.

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AI Frameworks & Infra Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI

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Also listed in

This tool also appears in

Content & Design › Audio & Music Coding & Development › Code Assistants

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