Open-Source AI · LLM / RAG framework

GraphRAG vs Ragas

GraphRAG vs Ragas compared for 2026 — features, license, ease of use, performance and which one to choose. RAG that builds a knowledge graph first vs Measure whether your RAG is any good.

Updated regularly · curated by OpenSourceAI.tech

Choose GraphRAG for complex question-answering over big document sets. Choose Ragas for anyone tuning a RAG pipeline blind.

GraphRAG vs Ragas at a glance

Spec	GraphRAG	Ragas
Category	LLM / RAG framework	LLM / RAG framework
Type	RAG pipeline	RAG evaluation
License	MIT	Apache-2.0
Runs locally	Partial	Yes
Primary language	Python	Python
Ease of use	Advanced	Intermediate
Best for	complex question-answering over big document sets	anyone tuning a RAG pipeline blind
GitHub stars	34.5k	—

How GraphRAG and Ragas score

🏆 Overall edge: Ragas — 4.5 vs 4.0 / 5

Criterion	GraphRAG	Ragas
Popularity	4.0	n/a
Maintenance	5.0	n/a
Ease of use	2.5	3.5
Privacy	3.5	5.0
License freedom	5.0	5.0

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

GraphRAG

RAG pipeline · MIT

GraphRAG from Microsoft Research extracts entities and relations into a knowledge graph before retrieval, dramatically improving answers to global, multi-hop questions over large corpora.

Answers global questions plain RAG misses
Structured, explainable retrieval via graph communities
From Microsoft Research with active development

See the GraphRAG 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

GraphRAG is rAG pipeline, while Ragas is rAG evaluation. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. GraphRAG leans more advanced-friendly, whereas Ragas is more suited to intermediate users. They also differ in how they run (Partial vs Yes). In short, GraphRAG fits complex question-answering over big document sets, and Ragas fits anyone tuning a RAG pipeline blind.

Which should you choose?

Choose GraphRAG for complex question-answering over big document sets. 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 GraphRAG or Ragas easier to use?

Ragas is generally the easier of the two to get started with, while GraphRAG rewards more setup with more control.

Are GraphRAG and Ragas free?

GraphRAG 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 GraphRAG and Ragas locally?

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

GraphRAG vs Ragas — which should I pick in 2026?

Choose GraphRAG for complex question-answering over big document sets. Choose Ragas for anyone tuning a RAG pipeline blind.

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