LangGraph vs LlamaIndex
Detailed side-by-side comparison to help you choose the right tool
LangGraph
🔴DeveloperAI agent framework
LangGraph is LangChain's open-source framework for building stateful, durable, multi-agent workflows in Python and JavaScript with graph-based control flow.
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FreeLlamaIndex
🔴DeveloperAI agent framework
LlamaIndex is an open-source Python and TypeScript framework for building RAG, document workflows, and AI agents — with LlamaCloud for managed parsing, extraction, and indexing.
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FreeFeature Comparison
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LangGraph - Pros & Cons
Pros
- ✓Open-source library is MIT-licensed and runs anywhere without platform lock-in
- ✓Native checkpointing makes durable, resumable, human-in-the-loop agents straightforward
- ✓First-class multi-agent patterns: supervisor, hierarchical, sequential, parallel branches
- ✓Tight integration with LangSmith for production observability, evaluations, and replays
- ✓Active maintenance from the LangChain team with frequent releases and strong community
Cons
- ✗More verbose than LangChain for simple agents — explicit state schemas and edge functions add overhead
- ✗LangSmith trace pricing ($2.50/1k base traces) is a real cost at production scale
- ✗LCU + deployment-minute billing makes pricing harder to predict than seat-only competitors
- ✗Steeper learning curve than role-based frameworks like CrewAI for newcomers
- ✗Best documented in Python; JavaScript SDK exists but lags in features
LlamaIndex - Pros & Cons
Pros
- ✓Best-in-class retrieval strategies: hybrid, parent-child, summary indexes, knowledge graphs
- ✓LlamaParse is the strongest PDF/document parser for enterprise RAG today
- ✓Open-source library is MIT-licensed and runs anywhere
- ✓Workflows agent layer is a clean alternative to LangGraph for stateful task graphs
- ✓10,000 free LlamaCloud credits make evaluation painless
Cons
- ✗LlamaCloud paid pricing is credit-based and harder to model than seat pricing
- ✗Workflows ecosystem is younger than LangGraph's; fewer multi-agent examples in the wild
- ✗Library API has churned over major releases — older tutorials are often out of date
- ✗Visual builder UX is not part of the product; teams that want no-code go elsewhere
- ✗Pure agent orchestration with complex branching is still cleaner in LangGraph
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