Graphrag

Everyone wants their LLM to be an expert in their thing — their product, their policies, their field. The default playbook is to fine-tune a model on it. That’s expensive, opaque, frozen the day you finish, and it still makes things up. There’s a cheaper, more honest move: don’t teach the model your domain. Hand it a wiki. The idea Take your pile of documents. Have a model read all of it and write the wiki you wish existed — every concept as its own page, every relationship as a link between pages, the whole thing backed by a database the model can search and traverse. ...

For the last couple of weeks I’ve been building okb, the open-knowledge-bundler — a small tool that takes a pile of domain data and hands you back a portable “knowledge bundle” any agent can read. Under the hood it builds a DuckDB knowledge graph, exports it as a cat-readable open knowledge format bundle packaged as a Claude-compatible “skill,” and ships a chat agent that answers questions about it. The whole thing runs fully local, on a single AMD chip on my desk. No API keys, no cloud, no embedding server. ...