modbender index1 Doctor
Environment diagnostic skill for index1. Runs health checks and provides fix recommendations.
Usage
Type /doctor or ask the agent to diagnose index1.
What it checks
The skill runs three commands sequentially and analyzes results:
1. Environment Check
index1 doctor
Checks:
- Python version (>= 3.10 required)
- SQLite version (>= 3.43.0 for full features)
- sqlite-vec extension
- ONNX embedding (built-in, bge-small-en-v1.5)
- Ollama connectivity (optional, for multilingual/CJK)
- Embedding model availability
- CJK/Chinese support (jieba)
2. Index Status
index1 status
Shows:
- Document count and chunk count
- Collections list
- Last index time
- Database size
3. Ollama Models
ollama list
Shows installed models. Recommended embedding models:
nomic-embed-text— Standard, 270MBbge-m3— Best for CJK content, 1.2GB
Interpreting Results
| Check | Pass | Fail Fix |
|---|---|---|
| Python | >= 3.10 | Install Python 3.11+ |
| SQLite | >= 3.43.0 | Auto-degrades, no action needed |
| sqlite-vec | Loaded | pip install index1 (bundled) |
| Ollama | Connected | curl -fsSL https://ollama.com/install.sh | sh |
| Model | Available | ollama pull nomic-embed-text |
| CJK | jieba loaded | pip install index1[chinese] |
| Index | Has documents | index1 index ./src ./docs |
When to use
- First-time setup verification
- After upgrading index1
- When search returns unexpected results
- When vector search stops working
- Before reporting issues