LangChain vs LangGraph
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
LangChain RAG | LangGraph Agents | |
|---|---|---|
| Tagline | The broad LLM application framework — chains, agents, retrievers. | Stateful, graph-based agent orchestration from LangChain. |
| Category | RAG | Agents |
| Pricing | Freemium· Free open-source; LangSmith paid | Freemium· Free open-source; LangGraph Platform paid |
| Model | BYO (any major LLM) | BYO (Claude / GPT / open) |
| Editorial score | 8.3 / 10 | 8.8 / 10 |
| Use cases | general LLM appsRAGagents | stateful agentshuman-in-loopproduction |
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| Website | www.langchain.com | www.langchain.com |
Pick LangChain if
- ✅ Massive integration surface
- ✅ Familiar to most LLM engineers
- ✅ Pairs well with LangSmith for eval
- ✅ TypeScript + Python
Pick LangGraph if
- ✅ Reliable, debuggable agent graphs
- ✅ Built-in persistence + HITL
- ✅ Production-grade
- ✅ Tight LangSmith integration