SaharZargarzadeh/graphRAG-retrievers-agents
🚀 Hands-on exploration of GraphRAG with Neo4j — building and comparing retrievers (Vector, Vector+Cypher, Text2Cypher) and wrapping them as conversational agent tools (Schema, Hybrid, Text2Cypher). Includes my custom router and evaluation workflow.
No commits in the last 6 months.
Stars
1
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 22, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/SaharZargarzadeh/graphRAG-retrievers-agents"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
MysterionRise/adaptive-knowledge-graph
AI-powered adaptive learning platform combining Knowledge Graphs, Local LLMs, and Bayesian skill...
JessEnterprise/graphRAG-retrievers-agents
🚀 Explore GraphRAG by building customized retrievers and agents using Neo4j for advanced...
ma3u/neo4j-agentframework
🚀 Hybrid RAG: Local Neo4j + BitNet.cpp RAG System and Azure SaaS deployment. Fast vector search,...
shenrui-li-ds/athenius-docs
Document RAG combining semantic search with entity graph extraction for complex multi-hop...
ravindersirohi/LangGraph-RAG-Embedding
LangGraph example to create multiple nodes with edges to implement RAG/Embedding and interact with LLM.