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Model Comparison

Dify vs Flowise vs n8n for AI

Three ways to build AI apps without writing a full backend — low-code platform, visual chain builder, or automation canvas. When to pick each.

Models:DifyFlowisen8nUpdated Jun 2026

Verdict

Customer-facing AI app: Dify. RAG experiment this afternoon: Flowise. AI inside business automations: n8n.

DifyFlowisen8nLow CodeRAGAutomationComparison
Edited by The AIKnowHub team · Editorial team

At a glance

Dify

Winner

Best for

Full AI apps, team workspaces, RAG + agents + publishable API

Not for

Quick throwaway chain experiments

Flowise

Strong

Best for

Visual RAG/chain prototyping, learning LangChain concepts

Not for

Multi-tenant production apps with auth and billing

n8n

Solid

Best for

AI steps inside CRM/email/ops automations, self-hosted scale

Not for

Polished chat UI out of the box

DimensionDifyFlowisen8n

Primary shape

AI application platformVisual chain builderGeneral automation + AI nodes

Time to first RAG chatbot

ModerateBestModerate

Embeddable chat widget

BestModerateWeakest

SaaS integrations

ModerateWeakestBest

Self-hosting

YesYesYes

Production app features

Dify includes workspaces, API keys, and app packaging.

BestWeakestModerate

Agent / tool loops

n8n agent nodes excel at tool loops inside wider workflows.

StrongStrongBest

Best pick by use case

If you're doing…PickWhy
Internal docs chatbot with SSO and analyticsDifyApp packaging, API, and workspace model map to internal tools.
Prove RAG works on your PDFs before committing engineeringFlowiseDrag nodes, test retrieval, swap embed models in minutes.
New support ticket to classify, draft, post to Slackn8nAI is one node between Zendesk, LLM, and Slack.
Embed AI chat on marketing siteDifyWidget + API without building Next.js auth.
Hackathon demo of multi-tool agentFlowiseFastest canvas for chains and tool nodes.

The short version

NeedPick
Shippable AI app with API + widgetDify
Fastest RAG prototypeFlowise
AI inside business automationsn8n
Zendesk + LLM + Slack pipelinen8n
Internal team AI workspaceDify

All three are in the open-source directory. See also n8n vs Zapier vs Make for pure automation picks.

Dify — ship an AI product

Dify is a full AI application platform: workflows, RAG, agents, API keys, embeddable chat, team workspaces.

Pick Dify when: the deliverable is an AI app — internal tool, customer chatbot, embedded widget — not a one-off chain experiment.

Skip when: you only need to test whether RAG works on a folder of PDFs. Flowise is faster for that.

Flowise — prototype on a canvas

Flowise is a visual builder for LLM chains. Drag nodes for loaders, splitters, retrievers, models, and tools.

Pick Flowise when: you need to prove retrieval quality, swap embedding models, or demo a chain to stakeholders before writing code.

Skip when: you need user management, billing, or a polished embed. Graduate to Dify or custom code.

n8n — AI as automation glue

n8n is general-purpose automation with strong AI agent nodes. The LLM step is one node in a wider flow.

Pick n8n when: AI classifies a ticket, enriches a lead, or summarizes a webhook — but the real work is posting to Slack, updating a CRM, or triggering email.

Skip when: the chat UI is the product. n8n has no embeddable widget story.

Migration path

  1. Flowise — prove RAG on your docs (afternoon)
  2. Dify — package as an app with API and access control (week)
  3. n8n — wire the app output into ops automations (ongoing)
  4. LangGraph / custom code — when visual limits hit (month 3+)

Related workflows

Frequently asked questions

Conceptually yes. Export your prompt, retrieval settings, and chunk strategy. Rebuild the flow in Dify when you need auth, API keys, and team access.

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