Dify
No-code AI agent and knowledge base platform. Sits in the same layer as n8n but with a different center of gravity: where n8n is workflow-automation-first with AI agents bolted on, Dify is AI-agents-and-RAG-first with workflow automation as the supporting cast. Open-source core; SaaS tier; self-hostable.
What you build with it
- AI applications with retrieval over org knowledge (the canonical use case)
- Chat assistants wired to a knowledge base
- Agent workflows with tool use, conditional logic, and structured output
- Knowledge base APIs that other systems (n8n, custom apps, MCP servers) can call
Knowledge base creation (per the source)
Dify’s knowledge base is its load-bearing primitive. Configuration surface:
| Knob | Options |
|---|---|
| Data source | Website sync, Notion, text files, PDF upload |
| Chunking | Delimiter, chunk length, overlap, pre-processing rules |
| Embedding model | Selectable; swappable post-creation |
| Retrieval mode | Vector (semantic) / full-text (keyword) / hybrid |
| Reranking | Optional, with model selection |
This is the no-code RAG control panel — every knob you’d otherwise wire by hand in LangChain or LlamaIndex.
Position vs n8n
| n8n | Dify | |
|---|---|---|
| Center of gravity | Workflow automation | AI agents + knowledge bases |
| Native AI agent node | Yes (recently first-class) | Core abstraction |
| Knowledge base / RAG | Via add-ons | First-class, configurable |
| Best for | Multi-step business workflows | AI apps over org knowledge |
The two are complements more than competitors. A common architecture: Dify hosts the knowledge base + agent, n8n handles the surrounding business workflows + integrations, and they talk over HTTP.
Caveats
- Fewer customization knobs than LangChain / LlamaIndex — the trade-off for no-code speed
- Self-hosting requires real ops (Docker Compose, Postgres, vector DB)
- The RAG-default framing puts Dify on the opposite side of the wiki’s RAG-skepticism thread — useful for teaching, but not necessarily the right pattern for every use case (see CAG for the alternative)
Sources
- How to Create and Customize a Knowledge Base for LLMs in Dify — knowledge base configuration walkthrough
See Also
- n8n — sibling no-code platform with different center of gravity
- RAG vs Wiki
- CAG — the alternative pattern for bounded datasets
- AI Automation Workflows — the broader no-code AI stack
- MCP — natural way to expose a Dify knowledge base to other agents