How to Build an AI Wine Sommelier with Stream Chat SDK
Blog post from Stream
An experimental project aimed to explore the integration of AI chatbots into real-world applications by designing a sommelier chatbot, which assists users in selecting wines through conversational AI. This project utilized Stream Chat for implementing the chat interface, focusing on AI behavior and user experience rather than the chat SDK itself. The chatbot was embedded in the Wine Butler app, addressing the limitations of list-based navigation by allowing users to describe their wine preferences in natural language, resulting in personalized recommendations. The backend was built using Node.js, with a structured approach to message handling and AI response generation, emphasizing prompt engineering to ensure the chatbot's responses were contextually relevant and domain-specific. The project demonstrated the potential for AI chatbots to enhance user interaction by offering dynamic, tailored experiences and highlighted the challenges and opportunities in making AI chatbots production-ready.