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Customer Service Chatbot Improved with Retrieval-Augmented Generation Technology

In the this post, we explore the fusion of Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) to revolutionize customer service applications. We detail how to create intuitive, interactive visualizations using streamlit, enhance AI’s understanding and response generation with LangChain, and ensure smooth deployment using Docker containers. The post also guides you through deploying the application on Google Cloud Platform (GCP) Cloud Run for scalable, efficient customer service solutions. This concise guide is essential for those looking to leverage cutting-edge AI and cloud technologies in customer service.

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teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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