# Production-Grade GraphRAG Data Pipeline: End-to-End Construction from PDF Parsing to Knowledge Graph

This article presents a production-grade hybrid knowledge base data pipeline that combines Neo4j for structured knowledge graphs with MinerU, LitServe, and GraphRAG for unstructured multimodal PDF parsing, addressing three key limitations of traditional RAG: difficulty integrating structured data, parsing complex PDFs, and coordinating hybrid retrieval. It is the second installment in an 8-week series, upgrading from an MVP to a v0.5 Knowledge Graph Edition that enables unified retrieval across structured and unstructured enterprise data for intelligent customer service scenarios.