Lead Gen Chatbot with GPT-4o: No-Code Tutorial
In the video titled ‘Building a Lead Gen Chatbot using GPT-4o (No-Code) | VectorShift Tutorial’ by Leon van Zyl, viewers are guided through the process of creating a no-code AI customer support chatbot using VectorShift. This chatbot can be embedded into any website and customized to fit the business’s branding and needs.
The video begins with an introduction to the chatbot’s functionalities, including collecting customer information and storing it in a backend system. The chatbot can answer questions from a custom knowledge base, which can be updated with various documents. Leon demonstrates how to interact with the chatbot on a fictional restaurant’s website, showing how it collects user information and answers questions about the business.
Leon then walks through the steps to create the chatbot using VectorShift. He starts by creating a new pipeline and adding input and output nodes to the canvas. He then adds an AI model node, specifically the GPT-4o model, and connects it to the input and output nodes. This setup allows the chatbot to generate responses based on user input.
To collect user information, Leon adds a data collector node to the canvas, specifying fields like name and email. He connects this node to the AI model node, ensuring the collected data is passed to the model. He also demonstrates how to use system prompts to instruct the AI model on how to handle the collected data and respond to user queries.
Next, Leon shows how to add a custom knowledge base to the chatbot. He uploads a document containing information about the restaurant and connects the knowledge base reader node to the AI model node. This allows the chatbot to use the knowledge base to answer user questions accurately.
Leon then explains how to deploy the chatbot and embed it into a website. He shows how to configure the chatbot’s appearance and functionality, and how to generate a code snippet to embed the chatbot into any web platform like Squarespace, WordPress, or a custom HTML site.
Finally, Leon demonstrates how to view the collected user information in VectorShift, showing how the platform stores and displays the data for each conversation. He concludes by encouraging viewers to try out VectorShift and explore its features for building custom chatbots.
Overall, the video provides a comprehensive guide to building and deploying a lead generation chatbot using GPT-4o and VectorShift, making it accessible for users without coding skills.