Today, customer engagement and support have undergone a transformation, with AI-driven chatbots emerging as the ultimate solution for efficient and personalized interactions. Imagine having a chatbot that not only understands and responds to customer inquiries like a seasoned expert but also taps into your unique domain-specific knowledge to provide tailored recommendations. This is where LlamaIndex steps in, combining forces with watsonx's API to equip your chatbot with the ability to reason and respond accurately by utilizing your own data.
👉 Please feel free to explore the demo app; we will be building a similar one in this project. You can access it by clicking here. demo

In this hands-on project, you will step-by-step explore the fusion of data indexing, AI integration, and natural language processing. The goal is to create an AI-powered chatbot that can effectively answer questions and offer personalized product recommendations. By completing this project, you will learn to:

This guided project requires basic knowledge of Python and database queries. However, don't worry if you don't have much experience with the above. This project will explain each step along the way, and you may learn as-you-need along the way.

IBM Skills Network Labs environment also comes with many technical requisites pre-installed to save the hassle of setting everything up, so we won't be dealing with any environment issues.