1st Step into AI Engineering

Introduction

Flowise is an innovative platform that allows users to build customized workflows for large language models with a simple drag-and-drop interface. Before starting, ensure your Windows system has WSL (Windows Subsystem for Linux), Node.js, and Git installed.

Installing Flowise

1. Clone the Repository: Open your WSL terminal and run:

   git clone https://github.com/FlowiseAI/Flowise.git

   Navigate to the directory with cd Flowise.

2. Setting up the Environment:

   • Install Node.js: If Node.js isn't installed, download it via nvm (Node Version Manager) by running:

     curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.1/install.sh | bash nvm install node

   • Install Dependencies: Inside the Flowise directory, install necessary npm packages:

     npm install

3. Configuration:

   • Configure necessary environment variables and third-party integrations as per the documentation provided in the Flowise GitHub repository.

4. Running Flowise:

   • Start the Server and Frontend:

     • Launch the backend server:

       arduino

       npm run start-server

     • In a new terminal window, start the frontend:

       arduino

       npm run start-client

   • Access the Flowise user interface by navigating to http://localhost:3000 in your web browser.

5. Creating Your First LLM Flow:

   • Use the user-friendly UI to drag and drop elements to create your LLM flow.

   • Begin with simple actions, like parsing text or generating responses, to familiarize yourself with the system’s capabilities.

6. Testing and Deployment:

   • Test the flow by inputting sample data and observing the outputs.

   • For production deployment, follow best practices for deploying Node.js applications, ensuring that all environment configurations are secured.

Conclusion

Flowise offers a robust platform for developers to harness the power of AI without needing extensive programming knowledge. By following these steps, you can set up Flowise on your Windows system with WSL and start automating tasks with AI-enhanced workflows.

This guide provides a basic walkthrough of setting up and using Flowise. For more detailed information, please refer to the Flowise GitHub repository .