This comprehensive update enhances user experience with several key improvements: ## Enhanced Streaming & Thinking Display - Implement real-time streaming with gray thinking tokens that collapse after completion - Fix thinking token redisplay bug with proper content filtering - Add clear "AI Response:" headers to separate thinking from responses - Enable streaming by default for better user engagement - Keep thinking visible for exploration, collapse only for suggested questions ## Natural Conversation Responses - Convert clunky JSON exploration responses to natural, conversational format - Improve exploration prompts for friendly, colleague-style interactions - Update summary generation with better context handling - Eliminate double response display issues ## Model Reference Updates - Remove all llama3.2 references in favor of qwen3 models - Fix non-existent qwen3:3b references, replace with proper model names - Update model rankings to prioritize working qwen models across all components - Ensure consistent model recommendations in docs and examples ## Cross-Platform Icon Integration - Add desktop icon setup to Linux installer with .desktop entry - Add Windows shortcuts for desktop and Start Menu integration - Improve installer user experience with visual branding ## Configuration & Navigation Fixes - Fix "0" option in configuration menu to properly go back - Improve configuration menu user-friendliness - Update troubleshooting guides with correct model suggestions These changes significantly improve the beginner experience while maintaining technical accuracy and system reliability.
462 lines
9.9 KiB
Markdown
462 lines
9.9 KiB
Markdown
# 🛠️ Troubleshooting Guide - Common Issues & Solutions
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*Having problems? You're not alone! Here are solutions to the most common issues beginners encounter.*
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---
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## 🚀 Installation & Setup Issues
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### ❌ "Command not found: ollama"
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**Problem:** The system can't find Ollama
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**Solution:**
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```bash
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# Install Ollama
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curl -fsSL https://ollama.ai/install.sh | sh
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# Or on Mac: brew install ollama
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# Start Ollama
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ollama serve
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```
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**Alternative:** Use the system without Ollama - it will automatically fall back to other embedding methods.
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### ❌ "Permission denied" when running scripts
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**Problem:** Script files aren't executable
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**Solution:**
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```bash
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chmod +x rag-mini.py rag-tui.py install_mini_rag.sh
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# Or run with python directly:
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python3 rag-mini.py --help
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```
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### ❌ "Module not found" or import errors
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**Problem:** Python dependencies not installed
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**Solution:**
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```bash
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# Install dependencies
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pip3 install -r requirements.txt
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# If that fails, try:
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pip3 install --user -r requirements.txt
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```
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### ❌ Installation script fails
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**Problem:** `./install_mini_rag.sh` doesn't work
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**Solution:**
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```bash
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# Make it executable first
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chmod +x install_mini_rag.sh
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# Then run
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./install_mini_rag.sh
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# Or install manually:
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pip3 install -r requirements.txt
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python3 -c "import mini_rag; print('✅ Installation successful')"
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```
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---
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## 🔍 Search & Results Issues
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### ❌ "No results found" for everything
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**Problem:** Search isn't finding anything
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**Diagnosis & Solutions:**
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1. **Check if project is indexed:**
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```bash
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./rag-mini status /path/to/project
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# If not indexed:
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./rag-mini index /path/to/project
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```
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2. **Lower similarity threshold:**
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- Edit config file, change `similarity_threshold: 0.05`
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- Or try: `./rag-mini search /path/to/project "query" --threshold 0.05`
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3. **Try broader search terms:**
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- Instead of: "getUserById"
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- Try: "user function" or "get user"
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4. **Enable query expansion:**
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- Edit config: `expand_queries: true`
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- Or use TUI which enables it automatically
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### ❌ Search results are irrelevant/weird
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**Problem:** Getting results that don't match your search
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**Solutions:**
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1. **Increase similarity threshold:**
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```yaml
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search:
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similarity_threshold: 0.3 # Higher = more picky
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```
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2. **Use more specific terms:**
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- Instead of: "function"
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- Try: "login function" or "authentication method"
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3. **Check BM25 setting:**
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```yaml
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search:
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enable_bm25: true # Helps find exact word matches
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```
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### ❌ Search is too slow
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**Problem:** Takes too long to get results
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**Solutions:**
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1. **Disable query expansion:**
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```yaml
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search:
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expand_queries: false
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```
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2. **Reduce result limit:**
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```yaml
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search:
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default_top_k: 5 # Instead of 10
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```
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3. **Use faster embedding method:**
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```yaml
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embedding:
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preferred_method: hash # Fastest but lower quality
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```
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4. **Smaller batch size:**
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```yaml
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embedding:
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batch_size: 16 # Instead of 32
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```
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---
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## 🤖 AI/LLM Issues
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### ❌ "LLM synthesis unavailable"
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**Problem:** AI explanations aren't working
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**Solutions:**
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1. **Check Ollama is running:**
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```bash
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# In one terminal:
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ollama serve
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# In another:
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ollama list # Should show installed models
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```
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2. **Install a model:**
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```bash
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ollama pull qwen2.5:3b # Good balance of speed and quality
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# Or: ollama pull qwen3:4b # Larger but better quality
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```
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3. **Test connection:**
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```bash
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curl http://localhost:11434/api/tags
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# Should return JSON with model list
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```
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### ❌ AI gives weird/wrong answers
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**Problem:** LLM responses don't make sense
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**Solutions:**
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1. **Lower temperature:**
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```yaml
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llm:
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synthesis_temperature: 0.1 # More factual, less creative
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```
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2. **Try different model:**
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```bash
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ollama pull qwen3:1.7b # Recommended: excellent quality (default priority)
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ollama pull qwen3:0.6b # Surprisingly good for CPU-only
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ollama pull qwen3:4b # Highest quality, slower
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```
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3. **Use synthesis mode instead of exploration:**
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```bash
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./rag-mini search /path "query" --synthesize
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# Instead of: ./rag-mini explore /path
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```
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---
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## 💾 Memory & Performance Issues
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### ❌ "Out of memory" or computer freezes during indexing
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**Problem:** System runs out of RAM
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**Solutions:**
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1. **Reduce batch size:**
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```yaml
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embedding:
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batch_size: 8 # Much smaller batches
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```
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2. **Lower streaming threshold:**
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```yaml
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streaming:
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threshold_bytes: 512000 # 512KB instead of 1MB
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```
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3. **Index smaller projects first:**
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```bash
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# Exclude large directories
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./rag-mini index /path/to/project --exclude "node_modules/**,dist/**"
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```
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4. **Use hash embeddings:**
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```yaml
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embedding:
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preferred_method: hash # Much less memory
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```
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### ❌ Indexing is extremely slow
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**Problem:** Taking forever to index project
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**Solutions:**
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1. **Exclude unnecessary files:**
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```yaml
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files:
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exclude_patterns:
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- "node_modules/**"
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- ".git/**"
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- "*.log"
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- "build/**"
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- "*.min.js" # Minified files
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```
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2. **Increase minimum file size:**
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```yaml
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files:
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min_file_size: 200 # Skip tiny files
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```
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3. **Use simpler chunking:**
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```yaml
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chunking:
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strategy: fixed # Faster than semantic
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```
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4. **More workers (if you have good CPU):**
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```bash
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./rag-mini index /path/to/project --workers 8
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```
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---
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## ⚙️ Configuration Issues
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### ❌ "Invalid configuration" errors
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**Problem:** Config file has errors
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**Solutions:**
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1. **Check YAML syntax:**
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```bash
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python3 -c "import yaml; yaml.safe_load(open('config.yaml'))"
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```
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2. **Copy from working example:**
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```bash
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cp examples/config.yaml .mini-rag/config.yaml
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```
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3. **Reset to defaults:**
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```bash
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rm .mini-rag/config.yaml
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# System will recreate with defaults
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```
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### ❌ Changes to config aren't taking effect
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**Problem:** Modified settings don't work
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**Solutions:**
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1. **Restart TUI/CLI:**
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- Configuration is loaded at startup
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- Exit and restart the interface
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2. **Check config location:**
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```bash
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# Project-specific config:
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/path/to/project/.mini-rag/config.yaml
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# Global config:
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~/.mini-rag/config.yaml
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```
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3. **Force re-index after config changes:**
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```bash
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./rag-mini index /path/to/project --force
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```
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---
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## 🖥️ Interface Issues
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### ❌ TUI looks broken/garbled
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**Problem:** Text interface isn't displaying correctly
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**Solutions:**
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1. **Try different terminal:**
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```bash
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# Instead of basic terminal, try:
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# - iTerm2 (Mac)
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# - Windows Terminal (Windows)
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# - GNOME Terminal (Linux)
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```
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2. **Use CLI directly:**
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```bash
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./rag-mini --help # Skip TUI entirely
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```
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3. **Check terminal size:**
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```bash
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# Make terminal window larger (TUI needs space)
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# At least 80x24 characters
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```
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### ❌ "Keyboard interrupt" or TUI crashes
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**Problem:** Interface stops responding
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**Solutions:**
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1. **Use Ctrl+C to exit cleanly:**
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- Don't force-quit if possible
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2. **Check for conflicting processes:**
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```bash
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ps aux | grep rag-tui
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# Kill any stuck processes
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```
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3. **Use CLI as fallback:**
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```bash
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./rag-mini search /path/to/project "your query"
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```
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---
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## 📁 File & Path Issues
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### ❌ "Project not found" or "Permission denied"
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**Problem:** Can't access project directory
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**Solutions:**
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1. **Check path exists:**
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```bash
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ls -la /path/to/project
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```
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2. **Check permissions:**
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```bash
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# Make sure you can read the directory
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chmod -R +r /path/to/project
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```
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3. **Use absolute paths:**
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```bash
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# Instead of: ./rag-mini index ../my-project
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# Use: ./rag-mini index /full/path/to/my-project
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```
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### ❌ "No files found to index"
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**Problem:** System doesn't see any files
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**Solutions:**
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1. **Check include patterns:**
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```yaml
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files:
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include_patterns:
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- "**/*.py" # Only Python files
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- "**/*.js" # Add JavaScript
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- "**/*.md" # Add Markdown
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```
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2. **Check exclude patterns:**
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```yaml
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files:
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exclude_patterns: [] # Remove all exclusions temporarily
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```
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3. **Lower minimum file size:**
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```yaml
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files:
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min_file_size: 10 # Instead of 50
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```
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---
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## 🔍 Quick Diagnostic Commands
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**Check system status:**
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```bash
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./rag-mini status /path/to/project
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```
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**Test embeddings:**
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```bash
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python3 -c "from mini_rag.ollama_embeddings import OllamaEmbedder; e=OllamaEmbedder(); print(e.get_embedding_info())"
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```
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**Verify installation:**
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```bash
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python3 -c "import mini_rag; print('✅ RAG system installed')"
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```
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**Test Ollama connection:**
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```bash
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curl -s http://localhost:11434/api/tags | python3 -m json.tool
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```
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**Check disk space:**
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```bash
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df -h .mini-rag/ # Make sure you have space for index
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```
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---
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## 🆘 When All Else Fails
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1. **Start fresh:**
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```bash
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rm -rf .mini-rag/
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./rag-mini index /path/to/project
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```
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2. **Use minimal config:**
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```yaml
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# Simplest possible config:
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chunking:
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strategy: fixed
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embedding:
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preferred_method: auto
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search:
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expand_queries: false
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```
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3. **Try a tiny test project:**
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```bash
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mkdir test-project
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echo "def hello(): print('world')" > test-project/test.py
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./rag-mini index test-project
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./rag-mini search test-project "hello function"
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```
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4. **Get help:**
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- Check the main README.md
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- Look at examples/ directory
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- Try the basic_usage.py example
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---
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## 💡 Prevention Tips
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**For beginners:**
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- Start with default settings
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- Use the TUI interface first
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- Test with small projects initially
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- Keep Ollama running in background
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**For better results:**
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- Be specific in search queries
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- Use the glossary to understand terms
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- Experiment with config settings on test projects first
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- Use synthesis mode for quick answers, exploration for learning
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**Remember:** This is a learning tool! Don't be afraid to experiment and try different settings. The worst thing that can happen is you delete the `.mini-rag` directory and start over. 🚀 |