Update current focus with progressive report generation implementation plan
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- Add more specialized templates for specific research domains
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- Add more specialized templates for specific research domains
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- Implement template customization options for users
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- Implement template customization options for users
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2. **Progressive Report Generation**:
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2. **Progressive Report Generation Implementation**:
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- Design and implement a system for generating reports progressively for very large research tasks
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- Implement progressive report generation for comprehensive detail level reports
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- Create a mechanism for updating reports as new information is processed
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- Enable support for different models with the progressive approach
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- Implement a progress tracking system for report generation
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- Create a hybrid system that uses standard map-reduce for brief/standard/detailed levels and progressive generation for comprehensive level
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- Add UI controls to monitor and control the progressive generation process
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#### Implementation Plan for Progressive Report Generation
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**Phase 1: Core Implementation (2-3 days)**
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- Create a new `ProgressiveReportSynthesizer` class extending from `ReportSynthesizer`
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- Implement chunk prioritization algorithm based on relevance scores
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- Develop the iterative refinement process with specialized prompts
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- Add state management to track report versions and processed chunks
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- Implement termination conditions (all chunks processed, diminishing returns, user intervention)
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**Phase 2: Model Flexibility (1-2 days)**
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- Modify the implementation to support different models beyond Gemini
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- Create model-specific configurations for progressive generation
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- Implement adaptive batch sizing based on model context window
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- Add fallback mechanisms for when context windows are exceeded
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**Phase 3: UI Integration (1-2 days)**
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- Add progress tracking and visualization in the UI
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- Implement controls to pause, resume, or terminate the process
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- Create a preview mode to see the current report state
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- Add options to compare different versions of the report
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**Phase 4: Testing and Optimization (2-3 days)**
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- Conduct comprehensive testing with various document collections
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- Compare report quality between progressive and standard approaches
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- Optimize token usage and processing efficiency
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- Fine-tune prompts and parameters based on testing results
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3. **Visualization Components**:
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3. **Visualization Components**:
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- Identify common data types in reports that would benefit from visualization
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- Identify common data types in reports that would benefit from visualization
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- Design and implement visualization components for these data types
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- Design and implement visualization components for these data types
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- Integrate visualization components into the report generation process
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- Integrate visualization components into the report generation process
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- Consider how visualizations can be incorporated into progressive reports
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### Technical Notes
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### Technical Notes
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