Dify vs LangChain
Dify is generally suitable when teams want a platform and visual workflow experience; LangChain is commonly chosen when developers need code-level orchestration flexibility.
| Criterion | Dify | LangChain |
|---|---|---|
| ease of use | Generally easier for non-specialists | More developer-oriented |
| target user | Builders, teams, educators | Developers and AI engineers |
| visual workflow support | Strong visual workflows | Usually code-first |
| developer flexibility | Configurable with platform boundaries | High code-level flexibility |
| RAG features | Knowledge bases and retrieval workflows | Composable retrieval primitives |
| agentic workflow support | Platform workflow and agent concepts | Agent and graph patterns through ecosystem |
| integrations | Platform integrations | Large framework integration ecosystem |
| self-hosting | Available; verify deployment details | Framework can run in your stack |
| production readiness | Often suitable for team apps after validation | Depends on application engineering |
| learning curve | Moderate | Moderate to high |
| best use cases | AI app platform, workflow prototypes, internal assistants | Custom RAG, agent systems, developer products |