Manufacturing & IoT
Factories and field sites need answers at the machine, often on edge hardware with poor connectivity.
The challenge
Section titled “The challenge”- Technicians search thick manuals for the right procedure.
- Past fault reports that match today’s symptoms are hard to find.
- Edge devices have little memory and unreliable networks.
Why SrvDB fits
Section titled “Why SrvDB fits”- Manual and fault-report search on the device itself.
- Small storage: SQ8 stores vectors 4× smaller, PQ up to 32× smaller.
- Linux aarch64 wheels for ARM edge hardware; works with no connectivity.
Five projects, five levels
Section titled “Five projects, five levels”Each project has its own page: the problem, how SrvDB powers it, what changes, architecture, use cases, core code and limits.
| Level | Project | What it does |
|---|---|---|
| 1 · Beginner | Maintenance Assistant | Technicians describe a symptom and get the right manual section and past fixes. |
| 2 · Intermediate | Defect Matcher | Matches new defects to past ones, from text and images. |
| 3 · Advanced | Sensor Anomaly Detector | Flags sensor windows far from normal operation. |
| 4 · Expert | Plant Knowledge Agent | An agent with shift memory across lines, manuals and quality records. |
| 5 · Frontier | Predictive Maintenance at the Edge | Finds machines whose behaviour resembles past pre-failure signatures. |