Azure-Samples/aisearch-openai-rag-audio
A simple example implementation of the VoiceRAG pattern to power interactive voice generative AI experiences using RAG with Azure AI Search and Azure OpenAI's gpt-4o-realtime-preview model.
This project helps businesses create interactive voice assistants that can answer questions using your specific company knowledge. You provide the assistant with your internal documents and a question via spoken language, and it responds aloud with an answer based on those documents, even citing its sources. It's designed for professionals who need to quickly access information from their internal knowledge base through natural voice commands.
547 stars.
Use this if you need to build a conversational AI agent that can understand spoken questions and provide spoken answers, drawing on your unique set of documents or data, rather than general internet knowledge.
Not ideal if your primary need is text-based search or if you don't require real-time spoken interactions and responses from your knowledge base.
Stars
547
Forks
348
Language
Python
License
MIT
Category
Last pushed
Nov 19, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/Azure-Samples/aisearch-openai-rag-audio"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
umbertogriffo/rag-chatbot
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual...
AleksNeStu/ai-real-estate-assistant
Advanced AI Real Estate Assistant using RAG, LLMs, and Python. Features market analysis,...
luisrodriguesphd/agentic-rag-chatbot
This repository features the Agentic RAG Chatbot, an AI-powered assistant designed for real-time...
mgoltzsche/knowledgebot
A Q&A RAG AI assistant and web crawler
ak-123459/Open-RAGA
This project implements a Retrieval-Augmented Generation (RAG) based chatbot designed to handle...