/Flowise

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

Primary LanguageJavaScriptMIT LicenseMIT

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.