This blog explores how we built an AI-powered chatbot for LBSocial to enhance user experience by providing quick, relevant responses using OpenAI’s Assistant API and Wix Chat. We’ll discuss the development process, challenges faced, and how this chatbot supports learning data science in the cloud with AI.
Why We Built the AI Chatbot
LBSocial offers a vast collection of tutorials on data science, cloud computing, AI, and related topics. However, finding the right tutorial or answer can be time-consuming. Our chatbot streamlines this process by leveraging OpenAI’s Assistant API and Wix Chat, allowing users to interact naturally and receive accurate, relevant responses—including recommended videos, resources, and quick, precise answers from our knowledge base.
Building the AI Chatbot with AI Assistance
Creating this chatbot involved several critical steps, from extracting structured data from YouTube tutorials to integrating AI for seamless interactions.
Key Development Steps
Data Extraction and Storage: We retrieved video transcripts using the YouTube API, structured them as JSON files, and stored them in OpenAI’s vector database for efficient retrieval.
AI Assistant Configuration: We configured an OpenAI Assistant, instructing it to reference our vector store and provide contextually relevant responses.
AI as the Developer, Humans as the Product Managers: Instead of writing code manually, we treated GPT as our software developer. We provided high-level instructions, and GPT handled the development—writing JavaScript for both the backend and frontend of the Wix-based chatbot, debugging errors, and optimizing functionality through logging.
Performance Optimization and Continuous Improvement: GPT suggested enhancements such as caching, streaming responses, and refining API calls to boost efficiency. Through iterative debugging and logging, it identified and resolved errors, ensuring a seamless user experience.
How to Use the LBSocial Chatbot
Using the chatbot is simple:
Visit LBSocial.net and log in.
Navigate to the LBSocial Hub, where you will find the chatbot.
Ask any questions related to data science, AI, or our courses, and receive instant, personalized responses.
Try It Yourself
The chatbot is currently in beta. If you’d like to access it, contact us via our contact page: https://www.lbsocial.net/contact.
If you’re interested in exploring how the chatbot was built, check out the project files on GitHub: https://github.com/lbsocial/LBSocial-Chatbot.
Feel free to reach out with any feedback or questions!
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