Flowise

Flowise is a low-code visual builder for creating LLM applications through a drag-and-drop interface. It lets non-developers and rapid prototypers build chatbots, RAG pipelines, and agent workflows by connecting pre-built nodes without writing code.

Key use cases include:

• No-code chatbot creation — build customer support bots and Q&A assistants visually
• Visual RAG pipeline design — connect document loaders, vector stores, and LLMs in a canvas
• Rapid prototyping — quickly test LLM application ideas before coding them properly
• Agent workflows — create tool-using agents with visual flow control
• API generation — every flow automatically gets an API endpoint for integration
• Team enablement — allow non-technical team members to build and iterate on AI workflows

Flowise is used by teams who want to prototype quickly or enable non-developers to build LLM applications. Built on top of LangChain, it exposes the full power of the framework through a visual interface.

Self-hostable with Docker, or available as Flowise Cloud for managed hosting.

1. Install and run Flowise:

   # npm
   npm install -g flowise
   npx flowise start
   
   # Docker
   docker run -d -p 3000:3000 flowiseai/flowise

2. Open http://localhost:3000 in your browser.
3. Create a new chatflow by dragging nodes onto the canvas:
   • Add a Chat Model node (OpenAI, Anthropic, etc.) and configure your API key
   • Add a Document Loader and Vector Store for RAG
   • Connect the nodes and click Save
4. Your flow automatically gets an API endpoint you can call from any application.

Pricing: Flowise is free and open source (Apache 2.0). Flowise Cloud starts at $35/month for hosted deployment. Self-hosting is free — you only pay for LLM API calls.