Pyyan / Compare / Cognee vs GraphRAG
Cognee vs GraphRAG
2 of 5RAG & Knowledge Graphs · verified 13 Aug 2026
CogneeCogneecurrent
GraphRAGMicrosoftcurrent| Specification | Cognee | GraphRAG |
|---|---|---|
| Summary | Graph and vector together, with a pipeline that improves itself. | Build a knowledge graph first, then query it. |
| Kind | Framework | Library |
| Graph | Yes, core | Yes, core |
| Language | Python | Python |
| Licence | Apache 2.0 | MIT |
| GitHub stars | ~7k | ~25k |
| Category | RAG & Knowledge Graphs | RAG & Knowledge Graphs |
| Official | Cognee ↗ | Microsoft ↗ |
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.
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.