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Custom Content AI Chatbot

An open source template of Custom Content AI Chatbot built with LangChain, Upstash and Next.js, deployed to Fly.io.

Custom Content AI Chatbot

An open source template of Custom Content AI Chatbot built with LangChain, Upstash and Next.js, deployed to Fly.io.

Author Avatar Theme by rishi-raj-jain
Github Stars Github Stars: 7
Last Commit Last Commit: Nov 16, 2023 -
First Commit Created: Jan 17, 2026 -
Custom Content AI Chatbot screenshot

Overview

This article serves as an introduction to a custom content AI chatbot built using Next.js, Fly.io, Upstash, LangChain, and TailwindCSS. The aim of this open source template is to provide a framework for developing and deploying a personalized AI chatbot.

Features

  • Next.js: serves as the framework for building the chatbot, providing a solid foundation for development.
  • Upstash Rate Limiter: enables rate limiting requests to ensure efficient and controlled interaction with the chatbot.
  • TailwindCSS: used for styling the chatbot interface, allowing for easy customization and a modern design.

Installation

To install the custom content AI chatbot, follow these steps:

  1. Install Next.js globally on your machine:
npm install -g next
  1. Install the required dependencies for the project:
npm install
  1. Create an account on Fly.io and deploy your Next.js application:
flyctl launch
  1. Set up Upstash Redis and QStash for serverless NoSQL DB caching and training schedule:
npm install upstash
  1. Set up LangChain for AI language processing and training:
npm install langchain
  1. Style the chatbot interface using TailwindCSS:
npm install tailwindcss
  1. Start the development server:
npm run dev
  1. Access the chatbot interface on your local machine at http://localhost:3000.

Summary

This article introduced a template for building a custom content AI chatbot using Next.js, Fly.io, Upstash, LangChain, and TailwindCSS. The provided features offer a foundation for developing and deploying a personalized chatbot with controlled rate limiting, stylish UI, and efficient NoSQL DB caching. The installation guide outlines the necessary steps for setting up the chatbot on a local machine and starting the development server.