How To Build a Flask ChatGPT ChatBot With Custom Knowledge Base using OpenAI API, Llama-Index, Langchain
Introduction In today's fast-paced world, businesses and organizations are always on the lookout for ways to provide quick and efficient customer service. One such way that has gained immense popularity in recent times is through chatbots. These AI-powered conversational agents can simulate human conversation and provide personalized assistance to users, making them an invaluable tool for organizations looking to enhance customer experience. In this tutorial, we will take you through the process of building your very own AI-powered chatbot using GPT-3 on customized PDF data, Llama Index, Flask, and OpenAI. So, let's dive right in ! Prerequisites Before we get started, you'll need to have the following installed: Python 3 Pip (Python Package Installer) You'll also need an OpenAI API key, which you can get by signing up for their API at OpenAI API KEY . Libraries Used Before we dive into the code, let's briefly discuss the libraries we'll be using: Llama Index L