LlamaIndex vs 
GraphRAG
LlamaIndex vs GraphRAG compared for 2026 — features, license, ease of use, performance and which one to choose. The data framework for RAG vs RAG that builds a knowledge graph first.
Updated regularly · curated by OpenSourceAI.tech
LlamaIndex vs GraphRAG at a glance
| Spec | LlamaIndex | GraphRAG |
|---|---|---|
| Category | LLM / RAG framework | LLM / RAG framework |
| Type | Data / RAG framework | RAG pipeline |
| License | MIT | MIT |
| Runs locally | Cloud-optional | Partial |
| Primary language | Python | Python |
| Ease of use | Intermediate | Advanced |
| Best for | developers building data-heavy RAG apps | complex question-answering over big document sets |
| GitHub stars | 50.9k | 34.5k |
Feature comparison
| Feature | LlamaIndex | GraphRAG |
|---|---|---|
| Python | ✓ | ✓ |
| JavaScript / TS | ✓ | ✗ |
| Agents | ✓ | ✗ |
| RAG | ✓ | ✓ |
| Streaming | ✓ | ✗ |
| Many integrations | ✓ | ✗ |
How LlamaIndex and GraphRAG score
| Criterion | LlamaIndex | GraphRAG |
|---|---|---|
| Popularity | 4.5 | 4.0 |
| Maintenance | 5.0 | 5.0 |
| Ease of use | 3.5 | 2.5 |
| Privacy | 3.5 | 3.5 |
| 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
LlamaIndex
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
GraphRAG
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
Key differences
LlamaIndex is data / RAG framework, while GraphRAG is rAG pipeline. LlamaIndex leans more intermediate-friendly, whereas GraphRAG is more suited to advanced users. They also differ in how they run (Cloud-optional vs Partial). In short, LlamaIndex fits developers building data-heavy RAG apps, and GraphRAG fits complex question-answering over big document sets.
Which should you choose?
Choose LlamaIndex for developers building data-heavy RAG apps. Choose GraphRAG for complex question-answering over big document sets.
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 GraphRAG easier to use?
LlamaIndex is generally the easier of the two to get started with, while GraphRAG rewards more setup with more control.
Are LlamaIndex and GraphRAG free?
LlamaIndex is free and open source (MIT), and GraphRAG is free and open source (MIT). Neither charges for the core software.
Can I run LlamaIndex and GraphRAG locally?
LlamaIndex: cloud-optional · GraphRAG: partial. Both can be used without sending your data to a third-party cloud where their setup allows.
LlamaIndex vs GraphRAG — which should I pick in 2026?
Choose LlamaIndex for developers building data-heavy RAG apps. Choose GraphRAG for complex question-answering over big document sets.
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