Pyyan / Compare / Neo4j vs LlamaIndex
Neo4j vs LlamaIndex
2 of 5RAG & Knowledge Graphs · verified 13 Aug 2026
Neo4jNeo4jcurrent
LlamaIndexLlamaIndexcurrent| Specification | Neo4j | LlamaIndex |
|---|---|---|
| Summary | The graph database most knowledge graphs are stored in. | The strongest option for document-centric retrieval. |
| Kind | Database | Framework |
| Graph | Yes, native | Yes, property graph index |
| Language | Cypher | Python, TypeScript |
| Licence | GPL-3.0 / commercial | MIT |
| GitHub stars | ~14k | ~45k |
| Category | RAG & Knowledge Graphs | RAG & Knowledge Graphs |
| Official | Neo4j ↗ | LlamaIndex ↗ |
Highlighted rows are where these differ.
Neo4j
- Native vector index alongside graph traversal
- GraphRAG and Graphiti both commonly sit on it
Best for the storage layer under a knowledge graph.
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.