How I Built a Customer Support Chatbot in React with Bee Agent Framework

About this video

Dive into the Bee Agent Framework: https://ibm.biz/bee-agent-framework-developers-digest Building a Customer Service Chatbot with Bee Agent Framework In this video, I demonstrate how to build a customer service chatbot using the Bee Agent framework, a TypeScript-native project by IBM. We'll explore its integration with the LLAMA series of models, particularly LLAMA 3.3 and LLAMA 70B, for fast and efficient performance. I’ll guide you through setting up a backend with Express and a Postgres database on Neon, and configuring dynamic tools for various customer service functions like handling urgent requests, getting shipping estimates, and providing coffee club signup details. Throughout the video, I'll show you how to build and render conditionally displayed UI components. All the necessary code and steps will be provided, ensuring you can follow along and create a seamless customer support system. Repo: https://github.com/developersdigest/bee-agent 00:00 Introduction to Building a Customer Service Chatbot 00:04 Overview of the Bee Agent Framework 00:55 Key Features and Tools of the Framework 02:38 Demonstration of Chatbot Capabilities 04:51 Setting Up the Backend and Database 08:44 Implementing Dynamic Tools and Functions 20:28 Creating Conditionally Rendered UI Components 30:29 Final Thoughts and Conclusion