/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

πŸ‘¨β€πŸ’» 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

πŸ”’ Authentication

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

USERNAME=user
PASSWORD=1234

πŸ“– Documentation

Coming soon

πŸ’» Cloud Hosted

Coming soon

🌐 Self Host

Coming soon

πŸ™‹ Support

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

πŸ™Œ Contributing

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

πŸ“„ License

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