Building GraphRAG with Neo4j + LangChain
Automatically convert natural language questions to Cypher queries and generate accurate answers using relationship data from your graph database.
Building GraphRAG with Neo4j + LangChain
Automatically convert natural language questions to Cypher queries and generate accurate answers using relationship data from your graph database.
TL;DR
- Neo4j: Relationship-centric graph database
- LangChain Neo4jGraph: Connect to Neo4j and auto-extract schema in Python
Related Posts
Ops & Systems
Agent in Production — From Guardrails to Docker Deployment
Implement Input/Output Guardrails, LLM-as-Judge, Human-in-the-Loop, and deploy to production with FastAPI + Docker.
Ops & Systems
MCP + Multi-Agent — How Agents Share Tools and Collaborate
Standardize tools with MCP, build role-based multi-agent systems with CrewAI. A2A protocol and architecture selection guide.
Ops & Systems
LangGraph in Practice — Reflection Agent and Planning Patterns
Upgrade ReAct with Tool Calling, then build Reflection and Planning Agents with LangGraph.