Add intelligent context window management for optimal RAG performance:
## Core Features
- Dynamic context sizing based on model capabilities
- User-friendly configuration menu with Development/Production/Advanced presets
- Automatic validation against model limits (qwen3:0.6b/1.7b = 32K, qwen3:4b = 131K)
- Educational content explaining context window importance for RAG
## Technical Implementation
- Enhanced LLMConfig with context_window and auto_context parameters
- Intelligent _get_optimal_context_size() method with model-specific limits
- Consistent context application across synthesizer and explorer
- YAML configuration output with helpful context explanations
## User Experience Improvements
- Clear context window display in configuration status
- Guided selection: Development (8K), Production (16K), Advanced (32K)
- Memory usage estimates and performance guidance
- Validation prevents invalid context/model combinations
## Educational Value
- Explains why default 2048 tokens fails for RAG
- Shows relationship between context size and conversation length
- Guides users toward optimal settings for their use case
- Highlights advanced capabilities (15+ results, 4000+ character chunks)
This addresses the critical issue where Ollama's default context severely
limits RAG performance, providing users with proper configuration tools
and understanding of this crucial parameter.
