Build an AI FAQ System with Strapi, LangChain & OpenAI

In this tutorial, you will learn how to create an AI-driven FAQ system using Strapi, LangChain.js, and OpenAI. The system allows users to pose queries related to Strapi CMS and receive accurate responses generated by a GPT model. To follow along with the tutorial, you need to have Node.js installed on your system, as well as create an account with OpenAI to obtain an API key. The AI-powered FAQ system is built in two parts: a backend server using Express.js and a frontend React app for user interaction. The backend server uses the RAG (Retriever Augmented Generation) approach, which combines information retrieval with large language models (LLMs) to provide more factually grounded answers. The core of your FAQ system will reside in an Express.js server. It will leverage the RAG approach by managing incoming requests, retrieving FAQ data from Strapi, processing user queries, and utilizing RAG for generating AI-driven responses. The frontend React app provides a user interface for interacting with the AI-powered FAQ system hosted on the server. After setting up your project and installing the required dependencies, you will configure the data source (Strapi), obtain an OpenAI API key, initialize a React project, and finally develop the AI-driven FAQ system using Strapi, LangChain.js, and OpenAI. The final result is an AI & Strapi-powered FAQ system that integrates seamlessly with Strapi for managing your FAQ data through a centralized platform.