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FlowiseAI

Low-code LLM app builder with visual drag-and-drop interface.

Last updated: Jun 29, 2025

Pricing

Updated: Jul 2, 2025
Starting Price
Free
Pricing Model
freemium
Free Plan
Yes
Free Trial
No

About FlowiseAI

FlowiseAI is an open-source low-code tool that allows users to build custom Large Language Model (LLM) applications by dragging and dropping components. It leverages LangchainJS, providing a visual interface to construct complex AI workflows. Users can connect various LLMs, tools, and vector stores to create chatbots, agents, and other AI-powered solutions without extensive coding.

Last updated: June 29, 2025

Who It's For

  • Developers looking for a low-code way to build LLM applications
  • Researchers and data scientists who want to prototype AI solutions quickly
  • Businesses aiming to integrate custom AI functionalities without extensive development resources
  • Anyone interested in experimenting with Large Language Models in a visual environment

How It Works

  1. 1FlowiseAI provides a visual canvas where users drag and drop nodes representing different components like LLMs, prompt templates, chains, and tools.
  2. 2Users connect these nodes to define the flow and logic of their LLM application.
  3. 3It utilizes LangchainJS under the hood, enabling seamless integration with various LLMs and external tools.

How to Use FlowiseAI

  1. 1Install FlowiseAI locally or deploy it to a server.
  2. 2Access the web-based visual editor.
  3. 3Drag and drop components (e.g., OpenAI LLM, Chat Prompt Template, Conversational Retrieval QA Chain) onto the canvas.
  4. 4Configure the parameters of each component (e.g., API keys, prompts).
  5. 5Connect the components to define the application's workflow.
  6. 6Test the application directly within the FlowiseAI interface.
  7. 7Export the built application for deployment or integration into other projects.

Key Features

  • Visual drag-and-drop interface
  • LangchainJS integration
  • Support for various LLMs (e.g., OpenAI, Hugging Face, Azure OpenAI)
  • Component library including chains, prompt templates, tools, and vector stores
  • Open-source and self-hostable
  • Pre-built templates and examples
  • API endpoint generation for built flows

Use Cases

  • Building custom chatbots for customer support or internal knowledge bases.
  • Creating AI agents for task automation.
  • Developing prototypes for LLM-powered applications quickly.
  • Integrating LLMs with external APIs and data sources.
  • Educational purposes to understand LLM application development visually.

Pros & Cons

Advantages

  • Significant reduction in development time for LLM applications due to its visual interface.
  • Open-source and self-hostable, offering full control over data and environment.
  • Leverages LangchainJS, providing access to a wide range of LLMs and integrations.
  • User-friendly for those with limited coding experience but wanting to build powerful AI tools.

Disadvantages

  • Requires some technical understanding of LLMs and their components for effective use.
  • Performance can be dependent on the hosting environment.
  • Community support, while growing, may not be as extensive as more established developer tools.

Alternatives

  • LangChain (coding framework)
  • LlamaIndex (data framework for LLMs)
  • Voiceflow (for conversational AI design)

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Frequently Asked Questions

What is FlowiseAI?

FlowiseAI is an open-source low-code tool that allows users to build custom Large Language Model (LLM) applications by dragging and dropping components. It leverages LangchainJS, providing a visual interface to construct complex AI workflows.

How much does FlowiseAI cost?

FlowiseAI is free to use.

Is FlowiseAI free?

Yes, FlowiseAI offers a free plan you can start with.

What are the best FlowiseAI alternatives?

Popular FlowiseAI alternatives include LangChain (coding framework), LlamaIndex (data framework for LLMs), Voiceflow (for conversational AI design).

What is FlowiseAI used for?

FlowiseAI is commonly used for Building custom chatbots for customer support or internal knowledge bases., Creating AI agents for task automation., Developing prototypes for LLM-powered applications quickly..

Information Accuracy

Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.