·By AI Resource Hub Team
AI Workflow Orchestration: Dify, LangFlow, Flowise, and More
Compare low-code AI workflow builders to design, deploy, and manage complex AI pipelines without writing everything from scratch.
Why Orchestrate AI Workflows?
Building AI applications involves chaining prompts, tools, APIs, and logic. Workflow orchestration platforms make this visual and maintainable.
Dify
- Type: Open-source with cloud option.
- Strengths: Full-featured — RAG, agents, workflows, prompt management.
- Best for: Teams wanting an all-in-one platform.
- Pricing: Free self-hosted, cloud from $59/month.
LangFlow
- Type: Open-source, Python-based.
- Strengths: Visual builder for LangChain pipelines.
- Best for: Developers already using LangChain.
- Pricing: Free self-hosted.
Flowise
- Type: Open-source, Node.js-based.
- Strengths: Drag-and-drop LLM flow builder.
- Best for: Quick prototyping of chatbots and RAG.
- Pricing: Free self-hosted.
n8n + AI Nodes
- Type: Open-source workflow automation.
- Strengths: Connect AI to 300+ integrations.
- Best for: Business automation with AI steps.
- Pricing: Free self-hosted, cloud from €20/month.
Comparison
| Feature | Dify | LangFlow | Flowise | n8n |
|---------|------|----------|---------|-----|
| Visual editor | ✓ | ✓ | ✓ | ✓ |
| RAG built-in | ✓ | ✓ | ✓ | ✗ |
| Agent support | ✓ | ✓ | ✓ | ✓ |
| API deployment | ✓ | ✓ | ✓ | ✓ |
| Self-hosted | ✓ | ✓ | ✓ | ✓ |
When to Use Code Instead
- Complex business logic that's hard to express visually.
- Performance-critical paths where overhead matters.
- Custom model training or fine-tuning pipelines.
ToolsWorkflow