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LangGraph vs LlamaIndex
LangGraph vs LlamaIndex: compare pricing, use cases, AI models, integrations, privacy, governance and best fit by context.
LangGraph vs LlamaIndex : buying comparison
This comparison helps choose between LangGraph and LlamaIndex by pricing, use case, models, integration, privacy and governance.
Budget: LangGraph · Open source / platform. Rating: LangGraph · 4.6/5.
| Criteria | LangGraph | LlamaIndex |
|---|---|---|
| Price | Open source / platform | $0+ credits |
| Best for | Building reliable stateful agents, multi-agent graphs and long-running workflows | RAG, document agents, parsing, indexing and data workflows for LLM applications |
| Models | State graphs, durable execution, streaming workflows, human-in-the-loop and agent orchestration | Indexes, retrieval, agents, workflows, LlamaParse, extraction, document understanding and LlamaCloud |
| Privacy | MIT open-source framework for local use; hosted platform and enterprise controls depend on LangSmith plan | Open-source framework for local use; cloud parsing/indexing data handling depends on LlamaCloud configuration |
| Rating | 4.6/5 | 4.5/5 |
Frequently asked questions
LangGraph or LlamaIndex: which one should you choose?
Choose LangGraph if entry budget is the priority. Choose LangGraph if perceived maturity and overall rating matter more. The final test should still be based on your repository.
Do LangGraph and LlamaIndex cover the same need?
Yes, they are close in category; compare limits, privacy, integration and suggestion quality.
How can teams run a fair test?
Use the same ticket, same repository and same data constraints, then measure saved time, errors, diff quality and monthly cost.