Pyyan / Compare / GraphRAG vs LlamaIndex
GraphRAG vs LlamaIndex
2 of 5RAG & Knowledge Graphs · verified 13 Aug 2026
GraphRAGMicrosoftcurrent
LlamaIndexLlamaIndexcurrent| Specification | GraphRAG | LlamaIndex |
|---|---|---|
| Summary | Build a knowledge graph first, then query it. | The strongest option for document-centric retrieval. |
| Kind | Library | Framework |
| Graph | Yes, core | Yes, property graph index |
| Language | Python | Python, TypeScript |
| Licence | MIT | MIT |
| GitHub stars | ~25k | ~45k |
| Category | RAG & Knowledge Graphs | RAG & Knowledge Graphs |
| Official | Microsoft ↗ | LlamaIndex ↗ |
Highlighted rows are where these differ.
GraphRAG
- Extracts entities and relationships, then summarises communities
- Answers “what are the themes here” which vector search cannot
- Expensive to index
Best for questions no single chunk can answer.
LlamaIndex
- Deep document handling and many indexing strategies
- The common advice is LlamaIndex for retrieval, LangGraph for orchestration
Best for PDFs, knowledge bases, structured data.