Building a Customer Service Agent Using Microsoft Foundry: A Technical Deep Dive

Learn how to build an AI-powered customer service agent using Retrieval-Augmented Generation (RAG) and Dify.ai. In this practical session, our facilitator, Olamide, explains how businesses can create AI assistants that answer customer questions using their own documents and company information. Using a logistics company as a case study, he demonstrates the process from creating a knowledge base to testing and publishing the finished application. In this video, you will learn how to: • Understand RAG and how it differs from regular ChatGPT • Prepare and upload company documents • Create a knowledge base using embeddings and a vector database • Connect the knowledge base to a large language model • Write effective system prompts • Reduce AI hallucinations and handle unanswered questions • Test and publish your customer service agent • Embed the agent on a website or connect it through an API • Turn your AI automation skills into a service for businesses Whether you are an aspiring AI engineer, automation specialist or business owner, this session will help you understand how to build practical AI solutions using business-specific information. Keep learning. Keep building with Wokkah! #ArtificialIntelligence #AIAgents #CustomerServiceAI #RAG #DifyAI #Automation #GenerativeAI #AITraining #Wokkah