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

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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

    With username & password

    npx flowise start --FLOWISE_USERNAME=user --FLOWISE_PASSWORD=1234
  3. Open http://localhost:3000

🐳 Docker

Docker Compose

  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

Docker Image

  1. Build the image locally:

    docker build --no-cache -t flowise .
  2. Run image:

    docker run -d --name flowise -p 3000:3000 flowise
  3. Stop image:

    docker stop flowise

👨‍💻 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 FLOWISE_USERNAME and FLOWISE_PASSWORD to the .env file in packages/server:

FLOWISE_USERNAME=user
FLOWISE_PASSWORD=1234

📖 Documentation

Flowise Docs

🌐 Self Host

Deploy on Railway

Deploy to Render

💻 Cloud Hosted

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. Star History Chart

📄 License

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

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

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