Adding graph retrieval to my medical LLM Wiki, and it actually works this time
Background: What I was already using When studying for the board examination, I set up a RAG (Retrieval Augmented Generation) pipeline for myself. Using semantic search to look at similarity, I turned hundreds of physical medicine and rehabilitation (PM&R) textbooks and my own notes into something I could search and query. I use it for reading in Obsidian, while also letting Claude find what I need via MCP. Its weakest point right now is connecting knowledge across different documents. So a few days ago, when I saw someone share a newly published paper, SAG (SQL-Retrieval Augmented Generation), claiming that adding SQL and graph concepts on top of semantic search makes cross-document search easier—with effects similar to GraphRAG but easier to build and maintain—my eyes lit up. ...