Neo4j GraphRAG
by Neo4j · freemium · Last verified 2026-03-17
Neo4j GraphRAG combines graph database capabilities with vector search to build retrieval-augmented generation systems that leverage structured relationships alongside semantic similarity. It enables developers to construct knowledge graphs that ground LLM responses in connected, structured data reducing hallucinations and improving traceability.
https://neo4j.com/labs/genai-ecosystem/ ↗B
B—Above Average
Adoption: B+Quality: AFreshness: ACitations: B+Engagement: F
Specifications
- License
- Apache 2.0
- Pricing
- freemium
- Capabilities
- graph-based retrieval, vector + graph hybrid search, knowledge graph construction, relationship-aware RAG, Cypher query integration
- Integrations
- LangChain, LlamaIndex, OpenAI, AWS Bedrock, Python
- Use Cases
- enterprise knowledge graph RAG, drug discovery knowledge bases, fraud network analysis with LLMs, document relationship extraction
- API Available
- Yes
- SDK Languages
- python, javascript, java, go
- Deployment
- cloud, self-hosted, aura-managed
- Rate Limits
- Free AuraDB tier available; paid for production scale
- Data Privacy
- SOC 2; GDPR; on-premises option for full control
- Tags
- knowledge-graph, rag, vector-search, graph-database, llm, neo4j
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
65.9Adoption
72
Quality
88
Freshness
86
Citations
78
Engagement
0