Drag and 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 FlowiseAI

    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

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

πŸ“„ License

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

GitHub

View Github