Open-Source AI · LLM / RAG framework

LlamaIndex vs Ragas

LlamaIndex vs Ragas compared for 2026 — features, license, ease of use, performance and which one to choose. The data framework for RAG vs Measure whether your RAG is any good.

Updated regularly · curated by OpenSourceAI.tech

Choose LlamaIndex for developers building data-heavy RAG apps. Choose Ragas for anyone tuning a RAG pipeline blind.

LlamaIndex vs Ragas at a glance

SpecLlamaIndexRagas
CategoryLLM / RAG frameworkLLM / RAG framework
TypeData / RAG frameworkRAG evaluation
LicenseMITApache-2.0
Runs locallyCloud-optionalYes
Primary languagePythonPython
Ease of useIntermediateIntermediate
Best fordevelopers building data-heavy RAG appsanyone tuning a RAG pipeline blind
GitHub stars50.9k—

How LlamaIndex and Ragas score

🤝 Too close to call — LlamaIndex and Ragas land within a hair (4.3 vs 4.5 / 5). Pick on fit, not on score.
CriterionLlamaIndexRagas
Popularity4.5n/a
Maintenance5.0n/a
Ease of use3.53.5
Privacy3.55.0
License freedom5.05.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

LlamaIndex

Data / RAG framework · MIT

LlamaIndex is a data framework focused on connecting LLMs to your data, with best-in-class ingestion, indexing and retrieval for RAG applications.

  • Best-in-class ingestion and indexing for RAG
  • Many data connectors and retrievers
  • Focused, RAG-first design
See the LlamaIndex page →

Ragas

RAG evaluation · Apache-2.0

Ragas scores RAG pipelines on faithfulness, answer relevance and context precision, turning "it feels better" into numbers.

  • Objective RAG quality metrics
  • Catches hallucinations quantitatively
  • Integrates with LangChain and LlamaIndex
Visit Ragas →

Key differences

LlamaIndex is data / RAG framework, while Ragas is rAG evaluation. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. They also differ in how they run (Cloud-optional vs Yes). In short, LlamaIndex fits developers building data-heavy RAG apps, and Ragas fits anyone tuning a RAG pipeline blind.

Which should you choose?

Choose LlamaIndex for developers building data-heavy RAG apps. Choose Ragas for anyone tuning a RAG pipeline blind.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is LlamaIndex or Ragas easier to use?

Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.

Are LlamaIndex and Ragas free?

LlamaIndex is free and open source (MIT), and Ragas is free and open source (Apache-2.0). Neither charges for the core software.

Can I run LlamaIndex and Ragas locally?

LlamaIndex: cloud-optional · Ragas: yes. Both can be used without sending your data to a third-party cloud where their setup allows.

LlamaIndex vs Ragas — which should I pick in 2026?

Choose LlamaIndex for developers building data-heavy RAG apps. Choose Ragas for anyone tuning a RAG pipeline blind.

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