Pyyan / Compare / R2R vs LlamaIndex
R2R vs LlamaIndex
2 of 5RAG & Knowledge Graphs · verified 13 Aug 2026
R2RSciPhicurrent
LlamaIndexLlamaIndexcurrent| Specification | R2R | LlamaIndex |
|---|---|---|
| Summary | RAG as a service you deploy yourself. | The strongest option for document-centric retrieval. |
| Kind | Platform | Framework |
| Graph | Yes | Yes, property graph index |
| Language | Python | Python, TypeScript |
| Licence | MIT | MIT |
| GitHub stars | ~7k | ~45k |
| Category | RAG & Knowledge Graphs | RAG & Knowledge Graphs |
| Official | SciPhi ↗ | LlamaIndex ↗ |
Highlighted rows are where these differ.
R2R
- Ingestion, retrieval, auth and observability included
- Graph extraction built in
Best for a working RAG API without building one.
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.