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.
"Attempted import error: 'LlamaParseReader' is not exported from 'llamaindex' (imported as 'LlamaParseReader')."
Facing this error. Any help would be great!
You should add generative ui
interesting
do you have braces bro?
getting rate limit for the upstash
This thing is buzzing
Thanks a lot for your efforts. Could you continue with modern to enroll in a membership on a monthly or yearly?
Hi Jish, thankyou for creating this, plz help , how we can deploy this site on vercel or any platform..
can i use for other web site
instead of wiki
Hi Josh, do you have email for business inquiry? We also make amazing AI chatbots. Thx
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?
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 🙂
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?
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?
why I am getting openai error for rate limit when we are using llama?
damn, wrote all this just to get a rate limit… guess google gemini is the answer
Amazing tutorial I’m going to try and build a next side project using upstash 😊
if you guys are facing i [UpstashError]: Forbidden: /upsert-data is not allowed, the trick is dont click on readonly token
i think you use too much of unnecessary divs dude
amazing fr !!