Why Vector RAG Answers Only Half of a Legal Question: Building a GraphRAG Agent That Follows the Law's Cross-References, in 5 Steps

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TL;DR Statutes don't repeat themselves, they point: the penalty for violating Section 26 sits sixty sections away and shares no vocabulary with it, so vector search finds half the answer. This post builds the other half in five steps: section-level chunks, a 190-node knowledge graph of the law, dense + sparse embeddings in Qdrant, a 2-hop graph walk, and an MCP server a plain-Python agent can call. Code: github.com/aekanun2020/pdpa-graphrag-mcp From the 96 sections of Thailand’s PDPA to a 190-node knowledge graph, hybrid search, and an MCP server any agent can call — all running locally in Doc

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