Flowise
by FlowiseAI
Open-source low-code tool for building customized LLM flows
Overview
Flowise is a drag-and-drop platform for building LLM applications. Integrates with LangChain and LlamaIndex, offering visual interface for AI development.
Key Statistics
Overall Rating
3.8/5
GitHub Stars
30,000
Last Updated
2025-10
Version
2.1.4
Features
Visual AI workflows
Visual AI workflows capabilities
Drag-and-drop builder
Drag-and-drop builder capabilities
RAG applications
RAG applications capabilities
Getting Started
Installation
npm install -g flowise
Quick Start
Install and run Flowise server
Code Example
npx flowise start
Pros & Cons
Advantages
Very low barrier to entry with drag-and-drop
Integrates well with LangChain and LlamaIndex
Good for rapid prototyping
Active development and updates
Open source under Apache 2.0
Limitations
Less suitable for production-grade applications
Limited customization compared to code-first approaches
Performance overhead from visual layer
Smaller community than LangChain
Documentation could be more comprehensive
Self-hosting requires infrastructure management
Technical Details
Primary Language
TypeScript
Supported Languages
License
Apache-2.0
Enterprise Ready
Yes
Community Size
Large
Pricing
Open Source + Cloud
Free open source. Hosting costs for deployment infrastructure
Performance Metrics
easeOfUse
5/5
scalability
3/5
documentation
4/5
community
4/5
performance
3/5
Common Use Cases
RAG applications for document Q&A
Chatbots and conversational interfaces
Rapid prototyping of AI applications
API-based AI services
Knowledge base assistants
Visual workflow design for non-developers