fss-mini-rag-github/docs/QUERY_EXPANSION.md
BobAi 4925f6d4e4 Add comprehensive testing suite and documentation for new features
📚 DOCUMENTATION
- docs/QUERY_EXPANSION.md: Complete beginner guide with examples and troubleshooting
- Updated config.yaml with proper LLM settings and comments
- Clear explanations of when features are enabled/disabled

🧪 NEW TESTING INFRASTRUCTURE
- test_ollama_integration.py: 6 comprehensive tests with helpful error messages
- test_smart_ranking.py: 6 tests verifying ranking quality improvements
- troubleshoot.py: Interactive tool for diagnosing setup issues
- Enhanced system validation with new features coverage

⚙️ SMART DEFAULTS
- Query expansion disabled by default (CLI speed)
- TUI enables expansion automatically (exploration mode)
- Clear user feedback about which features are active
- Graceful degradation when Ollama unavailable

🎯 BEGINNER-FRIENDLY APPROACH
- Tests explain what they're checking and why
- Clear solutions provided for common problems
- Educational output showing system status
- Offline testing with gentle mocking

Run 'python3 tests/troubleshoot.py' to verify your setup\!
2025-08-12 17:36:32 +10:00

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2.6 KiB
Markdown

# Query Expansion Guide
## What Is Query Expansion?
Query expansion automatically adds related terms to your search to find more relevant results.
**Example:**
- You search: `"authentication"`
- System expands to: `"authentication login user verification credentials security"`
- Result: 2-3x more relevant matches!
## How It Works
```mermaid
graph LR
A[User Query] --> B[LLM Expands]
B --> C[Enhanced Search]
C --> D[Better Results]
style A fill:#e1f5fe
style D fill:#e8f5e8
```
1. **Your query** goes to a small, fast LLM (like qwen3:1.7b)
2. **LLM adds related terms** that people might use when writing about the topic
3. **Both semantic and keyword search** use the expanded query
4. **You get much better results** without changing anything
## When Is It Enabled?
-**CLI commands**: Disabled by default (for speed)
-**TUI interface**: Auto-enabled (when you have time to explore)
- ⚙️ **Configurable**: Can be enabled/disabled in config.yaml
## Configuration
Edit `config.yaml`:
```yaml
# Search behavior settings
search:
expand_queries: false # Enable automatic query expansion
# LLM expansion settings
llm:
max_expansion_terms: 8 # How many terms to add
expansion_model: auto # Which model to use
ollama_host: localhost:11434 # Ollama server
```
## Performance
- **Speed**: ~100ms on most systems (depends on your hardware)
- **Caching**: Repeated queries are instant
- **Model Selection**: Automatically uses fastest available model
## Examples
**Code Search:**
```
"error handling" → "error handling exception try catch fault tolerance recovery"
```
**Documentation Search:**
```
"installation" → "installation setup install deploy configuration getting started"
```
**Any Content:**
```
"budget planning" → "budget planning financial forecast cost analysis spending plan"
```
## Troubleshooting
**Query expansion not working?**
1. Check if Ollama is running: `curl http://localhost:11434/api/tags`
2. Verify you have a model installed: `ollama list`
3. Check logs with `--verbose` flag
**Too slow?**
1. Disable in config.yaml: `expand_queries: false`
2. Or use faster model: `expansion_model: "qwen3:0.6b"`
**Poor expansions?**
1. Try different model: `expansion_model: "qwen3:1.7b"`
2. Reduce terms: `max_expansion_terms: 5`
## Technical Details
The QueryExpander class:
- Uses temperature 0.1 for consistent results
- Limits expansions to prevent very long queries
- Handles model selection automatically
- Includes smart caching to avoid repeated calls
Perfect for beginners because it "just works" - enable it when you want better results, disable when you want maximum speed.