Orquestación de flujos de IA: Dify, LangFlow, Flowise y más

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.