Grepai Storage Qdrant

This configures Qdrant as your vector database backend for GrepAI instead of the default GOB or PostgreSQL storage. You'd want this for large codebases over 50K files where search speed matters, since Qdrant keeps vectors in memory and delivers sub-50ms searches even on hundreds of thousands of files. Setup is straightforward with Docker on port 6334, though you'll need to re-index when migrating from other backends. The tradeoff is higher memory usage (about 6GB per million vectors) and needing to run another service, but if you're already dealing with scale issues or have Qdrant infrastructure, the performance jump is significant.