Flowise AI
Last Updated on: Dec 19, 2025
Flowise AI
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AI Workflow Management
No-Code & Low-Code
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What is Flowise AI?
Flowise AI is an open-source, visual tool that allows users to build, deploy, and manage AI workflows and chatbots powered by large language models without needing to code. It provides a drag-and-drop interface where users can visually connect LangChain components, APIs, data sources, and models to create complex AI systems easily. With Flowise AI, developers, analysts, and businesses can build chatbots, RAG pipelines, or automation systems through an intuitive UI rather than scripting everything manually. Its no-code design accelerates prototyping and deployment, enabling faster experimentation with LLM-powered workflows.
Who can use Flowise AI & how?
  • Developers: Engineers looking to rapidly prototype LangChain-based AI applications visually.
  • Business Analysts: Users exploring AI insights or data analysis through conversational workflows.
  • Startups: Early-stage ventures needing to test AI-powered ideas quickly.
  • Enterprise AI Teams: Organisations creating RAG pipelines, internal assistants, and automation tools.
  • Educators: Instructors teaching AI system design and LLM workflows using an accessible platform.

How to Use It?
  • Install Flowise: Run it locally or on a cloud server.
  • Build Workflow: Drag and drop components like prompts, retrievers, memory, and LLMs into the canvas.
  • Configure Data Sources: Link files, APIs, or databases to feed information into the model.
  • Connect to an LLM:Choose and integrate your preferred large language model.
  • Test and Iterate: Simulate chats, debug flows, and refine responses using the built-in interface.
  • Deploy: Host the workflow via API endpoints or embed it into applications and websites.
What's so unique or special about Flowise AI?
  • No-Code Visual Builder: Simplifies AI pipeline creation through an easy-to-use drag-and-drop interface.
  • LangChain Compatibility: Fully integrated with LangChain for building powerful workflows visually.
  • Fast Prototyping: Speeds up experimentation with LLMs and data connections.
  • Supports RAG and Agent Systems: Ideal for document Q&A bots and knowledge retrieval pipelines.
  • Self-Hosted Flexibility: Users can host their own instance for full control and data privacy.
Things We Like
  • Very easy for non-programmers to create AI workflows.
  • Supports custom data integration and RAG systems.
  • Flexible open-source design.
  • Fast prototyping and deployment cycle.
  • Good compatibility with LangChain and modern LLMs.
Things We Don't Like
  • May lack deep customization compared to full coding frameworks.
  • Complex workflows can become visually cluttered.
  • Requires manual hosting for full control.
  • Limited analytics for advanced monitoring or optimization.
Photos & Videos
Screenshot 1
Pricing
Freemium

Free

Free

2 Flows & Assistants
100 Predictions / month
5MB Storage
Evaluations & Metrics
Custom Embedded Chatbot Branding
Community Support

Starter

$ 35.00

Everything in Free
Unlimited Flows & Assistants
10,000 Predictions / month
1GB Storage
Community Support

Pro

$ 65.00

Everything in Starter
50,000 Predictions / month
10GB Storage
Unlimited Workspaces
5 Users
+ $15/user/month
Admin Roles & Permissions
Priority Support
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Popular Mention

FAQs


No — it is designed for no-code AI workflow creation.

Yes — you can self-host it locally or on your preferred cloud platform.

Yes — it is built on top of LangChain and supports its full ecosystem.

Yes — you can upload documents or connect data sources for retrieval.

Yes — it’s open source and free, though enterprise deployment may incur costs.

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