Create an Advanced AI Chatbot using Next.js 14 in 2024

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In this tutorial, we will walk you through the process of building a modern AI chatbot using Next.js 14 in 2024. Next.js is a popular React framework for building server-side rendered web applications, and it provides a great platform for building chatbot applications. We will be using modern AI technology to power our chatbot, making it intelligent and capable of handling complex conversations.

Before we begin, make sure you have Node.js and npm installed on your machine. If you haven’t installed them yet, you can download and install them from the official Node.js website.

Step 1: Setting Up Your Next.js Project
To start building our chatbot, we need to create a new Next.js project. Open your terminal and run the following commands:

npx create-next-app my-chatbot
cd my-chatbot

This will create a new Next.js project in a directory called my-chatbot and navigate you into that directory. Next, start the development server by running:

npm run dev

You should now see your new Next.js project running on http://localhost:3000.

Step 2: Installing Dependencies
Next, we need to install some dependencies for our chatbot. Run the following command in your terminal:

npm install axios @chakra-ui/react @emotion/react @emotion/styled framer-motion react-chatbot-kit

These dependencies include axios for making HTTP requests, @chakra-ui/react for building the UI components, @emotion/react and @emotion/styled for styling components, and react-chatbot-kit for building the chatbot functionality.

Step 3: Setting Up the Chatbot Component
Create a new directory called components in your project root directory. Inside the components directory, create a new file called Chatbot.jsx and add the following code:

import React from 'react';
import { useChatbot } from 'react-chatbot-kit';

const Chatbot = () => {
  const { messages, sendMessage } = useChatbot();

  return (
    <div>
      <div>
        {messages.map((message, index) => (
          <div key={index}>{message.body}</div>
        ))}
      </div>
      <input
        type="text"
        onKeyPress={(e) => {
          if (e.key === 'Enter') {
            sendMessage(e.target.value);
            e.target.value = '';
          }
        }}
      />
    </div>
  );
};

export default Chatbot;

This Chatbot component will display the chat messages and provide an input field for sending messages to the chatbot.

Step 4: Configuring the Chatbot
Create a new directory called config in your project root directory. Inside the config directory, create a new file called chatbotConfig.js and add the following code:

import { createChatBotMessage } from 'react-chatbot-kit';

const config = {
  initialMessages: [
    createChatBotMessage('Hello! How can I help you?'),
  ],
};

export default config;

This chatbotConfig will contain the initial messages displayed when the chatbot is loaded.

Step 5: Integrating the Chatbot in Your App
Open the pages/index.js file in your project root directory and import the Chatbot component:

import Chatbot from '../components/Chatbot';

Replace the contents of the Home component with the Chatbot component:

export default function Home() {
  return <Chatbot />;
}

Step 6: Running Your Chatbot
Now that you have set up your chatbot component and integrated it into your Next.js app, you can run your app by starting the development server:

npm run dev

Open your web browser and navigate to http://localhost:3000. You should see your chatbot interface with the initial message displayed.

Step 7: Enhancing Your Chatbot with AI
To make your chatbot more intelligent, you can integrate AI technology such as natural language processing (NLP) and machine learning. There are many AI services and platforms available that you can use to power your chatbot’s intelligence, such as Dialogflow, Wit.ai, or Microsoft Bot Framework.

You can use these services to train your chatbot to understand user input, generate responses, and handle complex conversations. Integrating AI capabilities will make your chatbot more user-friendly and effective in providing support or information to users.

In this tutorial, we have shown you how to build a modern AI chatbot in Next.js 14 in 2024. By following these steps, you can create a chatbot application with intelligent capabilities using the latest technologies in AI and web development. Experiment with different features and integrations to make your chatbot even more powerful and user-friendly.

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@rishikeshpanda2280
1 month ago

"Attempted import error: 'LlamaParseReader' is not exported from 'llamaindex' (imported as 'LlamaParseReader')."
Facing this error. Any help would be great!

@testingpurpose4737
1 month ago

You should add generative ui

@CarlosTello-m8h
1 month ago

interesting

@raybanz8598
1 month ago

do you have braces bro?

@laughingbrick7906
1 month ago

getting rate limit for the upstash

@keithken2105
1 month ago

This thing is buzzing

@beamngdrivepr
1 month ago

Thanks a lot for your efforts. Could you continue with modern to enroll in a membership on a monthly or yearly?

@IshaZaka
1 month ago

Hi Jish, thankyou for creating this, plz help , how we can deploy this site on vercel or any platform..

@AshishBharma-i5r
1 month ago

can i use for other web site
instead of wiki

@Josslyn1229
1 month ago

Hi Josh, do you have email for business inquiry? We also make amazing AI chatbots. Thx

@AlbertHistory
1 month ago

just finished up, i ran into an issue where no matter what site i link to the AI it always thinks it is the first website in the DB, any idea where the issue could be?

@malikajellal7237
1 month ago

Excellent video, very well explained. I learnt a lot. My question as a beginner: can we chat with our own documents (pdf, texts) instead of doing it with sites? Thank you 🙂

@akashbag09
1 month ago

Hey man thanks for the build! I followed along build the entire thing out and deployed it on vercel. It was working perfectly fine but all of a sudden I've started getting 504 errors. I've tried redeploying the code as well but nothing helped. Can you suggest a fix or anyone for that matter?

@husnainsardar7394
1 month ago

im getting "Hydration failed because the initial UI does not match what was rendered on the server." can you help me solving it ? did you use some libraries that might be causing this ? and what do you think in which file must be this error?

@10zDelek
1 month ago

why I am getting openai error for rate limit when we are using llama?

@10zDelek
1 month ago

damn, wrote all this just to get a rate limit… guess google gemini is the answer

@0xTomster
1 month ago

Amazing tutorial I’m going to try and build a next side project using upstash 😊

@10zDelek
1 month ago

if you guys are facing i [UpstashError]: Forbidden: /upsert-data is not allowed, the trick is dont click on readonly token

@starlord7526
1 month ago

i think you use too much of unnecessary divs dude

@harshilvaliya139
1 month ago

amazing fr !!