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LlamaIndex vs LangGraph
LlamaIndex vs LangGraph: compare pricing, use cases, AI models, integrations, privacy, governance and best fit by context.
LlamaIndex vs LangGraph : buying comparison
This comparison helps choose between LlamaIndex and LangGraph by pricing, use case, models, integration, privacy and governance.
Budget: LlamaIndex · $0+ credits. Rating: LangGraph · 4.6/5.
| Criteria | LlamaIndex | LangGraph |
|---|---|---|
| Price | $0+ credits | Open source / platform |
| Best for | RAG, document agents, parsing, indexing and data workflows for LLM applications | Building reliable stateful agents, multi-agent graphs and long-running workflows |
| Models | Indexes, retrieval, agents, workflows, LlamaParse, extraction, document understanding and LlamaCloud | State graphs, durable execution, streaming workflows, human-in-the-loop and agent orchestration |
| Privacy | Open-source framework for local use; cloud parsing/indexing data handling depends on LlamaCloud configuration | MIT open-source framework for local use; hosted platform and enterprise controls depend on LangSmith plan |
| Rating | 4.5/5 | 4.6/5 |
Frequently asked questions
LlamaIndex or LangGraph: which one should you choose?
Choose LlamaIndex 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 LlamaIndex and LangGraph 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.