Streamlining User Interactions with Azure AI-Powered Chatbots

This use case demonstrates how to build a smart and contextually aware chatbot that combines Azure OpenAI's language model capabilities with Azure AI Search's contextual data retrieval.

1. Why We Need This Use Case

This use case demonstrates how to build a smart and contextually aware chatbot that combines Azure OpenAI's language model capabilities with Azure AI Search's contextual data retrieval. The integration ensures enhanced conversational intelligence by enabling the chatbot to fetch real-time, relevant data for better user engagement. This is particularly useful in scenarios requiring specific document-based answers or real-time information.

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2. When We Need This Use Case

• Customer support scenarios requiring accurate, document-based responses.

• Legal, compliance, or policy-based document queries.

• Employee self-service tools for accessing internal knowledge bases.

• Personalized recommendations or troubleshooting guides.

• Any domain where accuracy, context, and conversational understanding are critical.

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3. Challenge Questions for Interview Preparation