nynuz/Advanced-GraphRAG
An end-to-end GraphRAG pipeline that combines Qdrant hybrid vector search with Neo4j Knowledge Graph traversal to build a retrieval system that goes beyond simple embedding similarity.
Stars
2
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 18, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/nynuz/Advanced-GraphRAG"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
zilliztech/vector-graph-rag
Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.
gibram-io/gibram
GibRAM is an in-memory knowledge graph server designed for retrieval augmented generation (RAG /...
Qubit02/BrainTrace
BrainTrace: GraphRAG-based on-device knowledge management system for secure and efficient...
vivy1024/daml-rag-framework
🧠 DAML-RAG: Domain-Adaptive Multi-source Learning RAG Framework | GraphRAG混合检索 + 推理时学习 +...
ApexIQ/End-to-End-Graphrag-implementation
End-to-End-Graphrag-implementation