Pyyan / Compare / Cognee vs LlamaIndex
Cognee vs LlamaIndex
2 of 5RAG & Knowledge Graphs · verified 13 Aug 2026
CogneeCogneecurrent
LlamaIndexLlamaIndexcurrent| Specification | Cognee | LlamaIndex |
|---|---|---|
| Summary | Graph and vector together, with a pipeline that improves itself. | The strongest option for document-centric retrieval. |
| Kind | Framework | Framework |
| Graph | Yes, core | Yes, property graph index |
| Language | Python | Python, TypeScript |
| Licence | Apache 2.0 | MIT |
| GitHub stars | ~7k | ~45k |
| Category | RAG & Knowledge Graphs | RAG & Knowledge Graphs |
| Official | Cognee ↗ | LlamaIndex ↗ |
Highlighted rows are where these differ.
Cognee
- Many retrieval modes over one memory layer
- Re-weights the graph from feedback
Best for deep knowledge retrieval.
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.