neuzhou

Agreed. I've been working on a codebase with 400+ Python files and the difference is stark. With embedding-based RAG, the agent kept pulling irrelevant code snippets that happened to share vocabulary. Switched to just letting the agent browse the directory tree and read files on demand -- it figured out the module structure in about 30 seconds and started asking for the right files by path.

The directory hierarchy is already a human-curated knowledge graph. We just forgot that because we got excited about vector math.