Microsoft Reactor

Our VoiceRAG solution combines Azure OpenAI realtime audio models with Azure AI Search to create an experience that lets users talk realtime with your data. In this session, we'll dive into the architecture: a frontend in JavaScript that uses websockets to send live audio back and forth, and a backend in Python that uses function calling to empower the LLM with retrieval and grounding capability. The same solution can be used to develop real-time agent solutions, like for retail purchasing, education, and customer support.

Follow along:

• Create agentic AI solutions by using Azure AI Foundry
• Practical Foundation for AI Agents: A Developer's Guide on Azure AI Foundry, Apps, and Data