Flowise
Build AI Agents, Visually
What is it?
What it is
Flowise is a low-code tool for building LLM flows and AI agents visually. Drag-and-drop interface on top of LangChain with support for RAG, chatbots, and tool-using agents.
Why it exists
Not everyone wants to write LangChain code. Flowise makes RAG and agent prototyping accessible via a visual builder.
Who should use it
Developers and product teams prototyping AI features, building internal chatbots, or demoing RAG pipelines quickly.
Who should avoid it
Teams needing deeply custom agent logic that exceeds visual node capabilities.
How it works
A quick walkthrough in plain English
How Flowise builds an AI chatbot
Step 1 of 4
You drag and connect nodes
Pick an LLM, add a document loader, wire them together visually.
Features
Advantages
- Fast prototyping of LLM apps
- No code required for basic flows
- Self-hostable
- Active open-source community
Disadvantages
- Complex flows become hard to manage visually
- Dependent on LangChain ecosystem
- Less control than writing code directly
Installation
docker
docker run -d -p 3000:3000 flowiseai/flowise
native
npm install -g flowise npx flowise start
FAQ
Flowise vs LangChain?
Flowise is a visual UI for LangChain. Use LangChain directly for custom code; Flowise for rapid prototyping.
Can I use local models?
Yes. Configure Ollama or other local endpoints as LLM providers.
Is Flowise free?
Self-hosted is open source (Apache 2.0). Flowise Cloud has paid plans.
Featured in Videos
YouTube tutorials and walkthroughs for Flowise
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