Flowise AI Tutorial: Integrating Chatbots in Web Applications with Node

🔍 Flowise API endpoints can integrate chatbots into any application.

💻 JavaScript API is used to call the chat flow from a Node application.

🔒 API key is used to secure the endpoint.

🔑 Learn how to change the max token size for the chatbot to allow for longer responses.

💻 Explore how to call the chatbot using Flowise APIs and the JavaScript example provided.

🔒 Discover how to protect the chatbot using authorization and API keys.

🔑 API keys are used for authorization and set in the headers

💻 A custom node application with a web interface is created to interact with the chat flow

📁 Project structure includes an index.js file for the express application and a public folder for static files

The tutorial focuses on implementing API endpoints and API keys using Node.js.

The video demonstrates how to call the Flowise API endpoint and format the response.

The tutorial also covers binding HTML elements to JavaScript variables and handling form submissions.

📚 The video tutorial demonstrates how to use API endpoints and API keys in a Node application using Flowise AI.

💻 The tutorial shows how to set up the API endpoint for the Flowise application and pass the chat flow ID as a variable through environment variables.

🔧 By following the steps, developers can dynamically call the Flowise API and make changes to their application using environment variables.

🔑 API key and endpoint setup is crucial for calling the Flowise AI API.

📧 The fetch function is used to make a POST request with the necessary headers and body data.

💡 Data can be extracted from the API response and used in the application.

👉 Creating a new instance of the Flowise front-end application and deploying it to GitHub.

🔧 Configuring the runtime environment for the web service, including adding environment variables and specifying the Node version.

🌐 Deploying the web service and accessing the deployed web app.