Industries
Wherever data is sensitive, connectivity is limited or a server is overkill, an embedded vector database lets AI work next to the data. Each industry below has five projects at five levels, and every project has its own page: the problem, how SrvDB powers it, what changes, the architecture, use cases, core code and honest limits.
| Level | Difficulty | Typical project |
|---|---|---|
| 1 | Beginner | Search and question-answering over your own documents |
| 2 | Intermediate | Assistants and matchers that act on similarity |
| 3 | Advanced | Analysers over large or specialised data (traffic, signals, images) |
| 4 | Expert | Agents with memory across several databases |
| 5 | Frontier | Air-gapped, edge and research-grade systems |
SrvDB keeps data on your machines; it does not by itself make a system compliant with any regulation. Runnable reference implementations are coming soon. Want one for your industry first? Ask in GitHub Discussions.