Drag & drop UI to build your customized LLM flow using LangchainJS
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Install Flowise
npm install -g flowise
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Start Flowise
npx flowise start
- Go to
dockerfolder at the root of the project - Create
.envfile and specify thePORT(refer to.env.example) docker-compose up -d- Open http://localhost:3000
- You can bring the containers down by
docker-compose stop
- Build the image locally:
docker build --no-cache -t flowise . - Run image:
docker run -d --name flowise -p 3000:3000 flowise
- Stop image:
docker stop flowise
Flowise has 3 different modules in a single mono repository.
server: Node backend to serve API logicsui: React frontendcomponents: Langchain components
- Install Yarn
npm i -g yarn
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Clone the repository
git clone https://github.com/FlowiseAI/Flowise.git
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Go into repository folder
cd Flowise -
Install all dependencies of all modules:
yarn install
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Build all the code:
yarn build
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Start the app:
yarn start
You can now access the app on http://localhost:3000
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For development build:
yarn dev
Any code changes will reload the app automatically on http://localhost:8080
To enable app level authentication, add USERNAME and PASSWORD to the .env file in packages/server:
USERNAME=user
PASSWORD=1234
Coming soon
Coming soon
Coming soon
Feel free to ask any questions, raise problems, and request new features in discussion
See contributing guide. Reach out to us at Discord if you have any questions or issues.
Source code in this repository is made available under the MIT License.