Flowise - Create Custom LLM Workflow Easily with a Drag-and-Drop Interface

Flowise: Simplifying LLM Application Development

Flowise is an intuitive tool designed to streamline the process of building applications that leverage Large Language Models (LLMs). Its drag and drop interface enables users to create customized LLM flows effortlessly, making it an essential resource for both novice developers and experienced tech enthusiasts.

Quick Start

Flowise encourages fast and easy setup for users who want to get started immediately.

Installation: Ensure NodeJS version 18.15.0 or higher is installed on your system. Install Flowise using npm:
```
npm install -g flowise
```
Start Flowise: Launch the application with:
```
npx flowise start
```
For added security, you can start Flowise with a username and password:
```
npx flowise start --FLOWISE_USERNAME=user --FLOWISE_PASSWORD=1234
```
Accessing the Interface: Open your web browser and navigate to http://localhost:3000 to start building your LLM applications.

Docker Integration

Flowise also supports Docker, providing flexibility for deployment:

Docker Compose

Clone the Flowise repository.
Navigate to the docker directory, copy the .env.example file, rename it to .env, and execute:
```
docker compose up -d
```
Access Flowise at http://localhost:3000. To stop the containers, use docker compose stop.

Docker Image

Locally build the Docker image:
```
docker build --no-cache -t flowise .
```

Run the image:

docker run -d --name flowise -p 3000:3000 flowise

Stop the running image with:
```
docker stop flowise
```

Developer Setup

Flowise supports a flexible development environment, organizing its code into distinct modules including a Node.js backend (server), React frontend (ui), and components for third-party integrations.

Prerequisite: Install pnpm, an efficient package manager:

npm i -g pnpm

Setup Process:

Clone the repository:

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

Navigate to the project directory:
```
cd Flowise
```
Install all necessary dependencies:
```
pnpm install
```
Build the project:
```
pnpm build
```
If you encounter memory issues, increase Node.js heap size:
```
export NODE_OPTIONS="--max-old-space-size=4096"
pnpm build
```
Start the application:
```
pnpm start
```
Access the app via http://localhost:3000.
Development can be optimized with a dev environment for auto-reloading:
```
pnpm dev
```

Authentication and Configuration

Enhance security by adding FLOWISE_USERNAME and FLOWISE_PASSWORD in your .env file. Flowise allows custom configuration through environment variables, as documented in their extensive documentation.

Self-Hosted Deployment

For robust use, Flowise can be deployed on various platforms such as AWS, Azure, Digital Ocean, and more. Detailed deployment guides are available for self-hosting.

Community and Support

Flowise fosters a collaborative community, inviting users to contribute, discuss, and innovate. Join their Discord for support or to be part of the conversation.

Flowise is licensed under the Apache License Version 2.0, ensuring open access and contribution opportunities. For further information, visit their GitHub repository or view the Flowise Docs.

In summary, Flowise positions itself as a user-friendly and versatile tool for LLM applications, accommodating various stages of development from quick setup to complex deployments, while encouraging a supportive community environment.