Drag & drop UI to build your customized LLM flow using LangchainJS

Flowise - LangchainJS UI

Drag & drop UI to build your customized LLM flow using LangchainJS

⚡Quick Start

1. Install Flowise

   npm install -g flowise

2. Start Flowise

   npx flowise start

3. Open http://localhost:3000

🐳 Docker

1. Go to docker folder at the root of the project
2. Create .env file and specify the PORT (refer to .env.example)
3. docker-compose up -d
4. Open http://localhost:3000
5. You can bring the containers down by docker-compose stop

👨‍💻 Developers

Flowise has 3 different modules in a single mono repository.

• server: Node backend to serve API logics
• ui: React frontend
• components: Langchain components

Prerequisite

• Install Yarn

  npm i -g yarn

Setup

1. Clone the repository

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

2. Go into repository folder

   cd Flowise

3. Install all dependencies of all modules:

   yarn install

4. Build all the code:

   yarn build

5. Start the app:

   yarn start

   You can now access the app on http://localhost:3000

6. For development build:

   yarn dev

   Any code changes will reload the app automatically on http://localhost:8080

🔒 Authentication

To enable app level authentication, add USERNAME and PASSWORD to the .env file in packages/server:

USERNAME=user
PASSWORD=1234

📖 Documentation

Coming soon

💻 Cloud Hosted

Coming soon

🌐 Self Host

Coming soon

🙋 Support

Feel free to ask any questions, raise problems, and request new features in discussion

🙌 Contributing

See contributing guide. Reach out to us at Discord if you have any questions or issues.

📄 License

Source code in this repository is made available under the MIT License.