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
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