How Local Knowledge Graphs Finally Fixed Obsidian's AI Search

Current AI plugins for Obsidian rely on shallow vector similarity, which fails to understand logical connections between notes. The breakthrough is hybrid local RAG—combining vector search with knowledge graph reasoning—that runs entirely on your machine and finally delivers genuine contextual understanding instead of glorified keyword matching. This shift from simple retrieval to intelligent reasoning without cloud dependency fundamentally changes how knowledge workers interact with their notes.