Jared Tracy 6de1e8acec handles invalid values for startDate, endDate
also sets time window to beginning of the date or end of the date. This will be helpful with the timezone gap between the server (usually UTC) and the client (localized timezone)

Ideal date solution to consider for the future would be to adjust the timestamp query based upon the server timezone setup. This becomes particularly helpful when the client is filtering by the end date but they are in a timezone behind UTC after the UTC has advanced to the next date. For example, being in Pacific time and querying for the current date after 4PM will result in not finding records that have been created after 4PM Pacific b/c the server timestamp (in UTC) will be the next calendar date.
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Flowise - Build LLM Apps Easily

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English | 中文

Drag & drop UI to build your customized LLM flow

Quick Start

Download and Install NodeJS >= 18.15.0

  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. Copy .env.example file, paste it into the same location, and rename to .env
  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

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:

    • Create .env file and specify the PORT (refer to .env.example) in packages/ui

    • Create .env file and specify the PORT (refer to .env.example) in packages/server

    • Run

      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

🌱 Env Variables

Flowise support different environment variables to configure your instance. You can specify the following variables in the .env file inside packages/server folder. Read more

📖 Documentation

Flowise Docs

🌐 Self Host

Deploy Flowise self-hosted in your existing infrastructure, we support various deployments

💻 Cloud Hosted

Coming soon

🙋 Support

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

🙌 Contributing

Thanks go to these awesome contributors

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 Apache License Version 2.0.

S
Description
Drag & drop UI to build your customized LLM flow
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