Flowise AI
Open-source drag-and-drop LLM app and chatbot builder
- Open Source
- Web, Self-hosted
- AI Tools for ChatbotAI Chatbot BuildersWriting
- Open source
- Free forever

What is Flowise AI?
Key features
Drag-and-drop workflow builder
visually design LLM applications by connecting components
Multiple LLM support
integrate various language models including OpenAI, Anthropic, Hugging Face and others
Data integration
connect knowledge bases, documents and databases to augment model responses
Chatbot deployment
create and deploy conversational interfaces without backend development
Self-hosting option
run on your own infrastructure for data privacy and control
Open-source codebase
access and modify the source code to extend functionality
Pros & cons
Advantages
- No coding required for basic chatbot and application creation
- Open-source means no vendor lock-in and full transparency
- Self-hosted option provides control over data and infrastructure costs
- Active community and ongoing development
Limitations
- Requires technical knowledge for self-hosting and advanced customisation
- Learning curve for complex workflows and integrations
- Smaller ecosystem compared to commercial alternatives with dedicated support teams
Use cases
Creating customer support chatbots that reference internal documentation
Building internal knowledge assistants for employee onboarding and training
Developing question-answering systems for specific business processes
Prototyping LLM applications before committing to commercial solutions
Creating conversational interfaces for document analysis and research
Ready to try Flowise AI?
Pricing
Get started with Flowise AI
Click through to Flowise AI and start using it now.
- Open source
- Free forever