FlowiseAI: A low-code/no-code drag & drop tool to visualize and build LLM apps

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In the rapidly evolving world of AI and language processing, accessibility to tools that facilitate the development of custom language-based models is a game-changer. FlowiseAI, an open-source UI visual tool, is a standout player in this arena. This blog post delves into what FlowiseAI is, how it works, and the multitude of benefits it brings to the world of language enthusiasts and developers.

Understanding FlowiseAI

FlowiseAI is a user-friendly and open-source tool tailored for creating custom Language Learning Models (LLMs) using LangchainJS. It’s written in Node Typescript/Javascript, making it accessible to developers and language enthusiasts alike. It’s more than just a tool; it’s a vision. As its creators put it, “Flowise is a low-code/no-code drag & drop tool with the aim to make it easy for people to visualize and build LLM apps.”

Flowise is a low-code/no-code drag & drop tool with the aim to make it easy for people to visualize and build LLM apps

Benefits of Using FlowiseAI

FlowiseAI comes with a bundle of benefits that make it a valuable asset for anyone in the field of language processing and model development:

  1. Free and Open Source: FlowiseAI is a treasure trove of possibilities, and it’s all for free. It’s open-source, making it accessible for both personal and commercial use. This opens up an array of opportunities for developers, educators, and language enthusiasts.
  2. Ease of Getting Started: Starting your journey with FlowiseAI is a breeze. A few simple commands, such as npm install -g flowise and npx flowise start, are all you need to embark on your LLM-building adventure. It ensures that anyone with a passion for language processing can dive right in.
  3. Docker Support: The inclusion of Docker support is a game-changer. It allows users to containerize their language models, simplifying deployment across various environments. This feature enhances the portability and scalability of your language-based applications.
  4. Community-Driven Development: FlowiseAI thrives on community collaboration. It provides channels for users to engage with the FlowiseAI team and fellow developers via Discord, Twitter, and email. This community-driven approach not only fosters knowledge sharing but also encourages innovation and constant improvement.

Getting Started with FlowiseAI

To start your journey with FlowiseAI, follow these simple steps:

  1. Clone the Repository: Begin by cloning the FlowiseAI repository using the command git clone https://github.com/FlowiseAI/Flowise.git.
  2. Navigate to the Repository Folder: Move to the repository folder by running cd Flowise.
  3. Install Dependencies: To ensure everything runs smoothly, install all dependencies of all modules by running npm install.
  4. Run FlowiseAI: You’re now ready to start FlowiseAI. Execute the command npx flowise start to enter the world of LLM development.
  5. Docker Container: If you’re interested in containerization, you can also set up a Docker container with docker-compose up -d.


FlowiseAI is not just a tool; it’s a gateway to creative and innovative language model development. Its open-source nature, ease of use, Docker support, and vibrant community make it a one-stop solution for developers and language enthusiasts. With FlowiseAI, you can turn your language-related visions into reality and contribute to the ever-evolving field of language processing and model development. Don’t hesitate; dive into the world of FlowiseAI and discover the endless possibilities it offers for custom LLM development.