Flowise
Open-source, drag-and-drop LangChain UI. Build AI chatbots and agents visually without writing code.
What is Flowise?
Visual LangChain Builder for Everyone
Flowise is an open-source, drag-and-drop interface for building LangChain-powered AI applications. It takes the power of LangChain's agent and chain framework and exposes it through a visual canvas, making it possible to build sophisticated RAG systems, chatbots, and AI agents without writing a single line of code.
From Canvas to Production
Each workflow built in Flowise is instantly deployable as an API endpoint or embeddable chat widget. This means you can go from prototype to production-ready AI application in a single session, with no additional infrastructure work required beyond the initial Flowise deployment.
- Visual canvas built on React Flow for intuitive workflow building
- All major LangChain components available as drag-and-drop nodes
- Instant API and embed widget generation for any workflow
- Self-hostable with Docker for full data control
Key Features
Build LangChain workflows visually by connecting nodes on an intuitive React Flow-based canvas.
Every workflow automatically becomes an API endpoint ready to integrate into any application.
Generate embeddable chat widgets from any chatbot workflow and add them to any website.
Built-in support for loading PDFs, websites, Notion pages, and other sources into your RAG pipelines.
Deploy on your own infrastructure using Docker for complete control over your data and usage.
Who Uses Flowise?
Build and deploy chatbots trained on your own documents without writing LangChain code.
Create systems that answer questions from company documentation, wikis, or any text collection.
Use the visual editor to prototype LangChain architectures before implementing them in code.
Business analysts and non-developers can deploy functional AI tools without engineering support.
Pros & Cons
โ Pros
- Makes LangChain accessible without requiring Python knowledge
- Instant API generation significantly accelerates deployment
- Open-source and self-hostable for privacy and cost control
- Active community with regular new node additions
- Great for rapid prototyping of RAG and agent architectures
โ Cons
- Limited flexibility compared to writing LangChain code directly
- Complex workflows can become hard to maintain in the visual editor
- Debugging errors requires understanding the underlying LangChain concepts
- Performance optimizations are harder to implement than in code
Flowise Pricing
Open Source (Self-hosted)
- All nodes
- Unlimited workflows
- API generation
- Community support
Cloud Starter
- Hosted deployment
- 10K API calls/month
- No infrastructure management
Enterprise
- SLA
- Dedicated support
- Custom deployment
Flowise earns a 4.2/5 rating from our editorial team. It's completely free to use with no hidden costs, making it one of the most accessible tools in the Writing & Content space. Standout strengths include makes langchain accessible without requiring python knowledge and instant api generation significantly accelerates deployment.
Get Started with Flowise โ