I Built an AI Knowledge Base in a Weekend. FLXBL Did the Heavy Lifting.

TL;DR: I took FLXBL's new FILE fields, VECTOR fields, and vector search for a spin by building an AI-powered personal knowledge base called BrainLinks . Upload a PDF, and AI extracts concepts, links them to your existing knowledge, and lets you search semantically across everything you've ever saved. The interesting part? Combining vector similarity with graph traversal—a query pattern that's native in a graph database but requires duct tape and prayer in a relational one. The project is open source, so you can try it yourself. GitHub: github.com/flxbl-dev/brainlinks The Idea: Obsidian Meets Semantic Search I've been using Obsidian for years. The graph view—where you see your notes connected through backlinks—is one of those features that makes you think differently about your knowledge. You notice clusters. You spot gaps. You discover connections you didn't know existed. But Obsidian's graph is manual. You create the links. You decide which concepts connect. And the search? It's keywo