86 lines
3.9 KiB
Markdown
86 lines
3.9 KiB
Markdown
# Current Focus: Report Generation Module Implementation (Phase 2)
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## Latest Update (2025-02-27)
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We have successfully implemented Phase 1 of the Report Generation module, which includes document scraping and SQLite storage. The next focus is on Phase 2: Document Prioritization and Chunking, followed by integration with the search execution pipeline.
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### Recent Progress
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1. **Report Generation Module Phase 1 Implementation**:
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- Created a SQLite database manager with tables for documents and metadata
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- Implemented a document scraper with Jina Reader API integration and fallback mechanisms
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- Developed the basic report generator structure
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- Added URL retention, metadata storage, and content deduplication
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- Created comprehensive test scripts to verify functionality
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- Successfully tested document scraping, storage, and retrieval
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2. **Configuration Enhancements**:
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- Implemented module-specific model assignments in the configuration
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- Added support for different LLM providers and endpoints
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- Added configuration for Jina AI's reranker
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- Added support for OpenRouter and Groq as LLM providers
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- Configured the system to use Groq's Llama 3.1 and 3.3 models for testing
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3. **LLM Interface Updates**:
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- Enhanced the LLMInterface to support different models for different modules
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- Implemented dynamic model switching based on the module and function
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- Added support for Groq and OpenRouter providers
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- Optimized prompt templates for different LLM models
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4. **Search Execution Updates**:
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- Fixed issues with the Serper API integration
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- Updated the search handler interface for better error handling
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- Implemented parallel search execution using thread pools
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- Enhanced the result collector to properly process and deduplicate results
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5. **Jina Reranker Integration**:
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- Successfully integrated the Jina AI Reranker API to improve search result relevance
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- Fixed issues with API request and response format compatibility
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- Updated the reranker to handle different response structures
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- Improved error handling for a more robust integration
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### Current Tasks
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1. **Report Generation Module Implementation (Phase 2)**:
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- Implementing document prioritization based on relevance scores
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- Developing chunking strategies for long documents
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- Creating token budget management system
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- Designing document selection algorithm
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2. **Integration with Search Execution**:
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- Connecting the report generation module to the search execution pipeline
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- Implementing automatic processing of search results
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- Creating end-to-end test cases for the integrated pipeline
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3. **UI Enhancement**:
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- Adding report generation options to the UI
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- Implementing progress indicators for document scraping and report generation
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- Creating visualization components for search results
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### Next Steps
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1. **Complete Phase 2 of Report Generation Module**:
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- Implement relevance-based document prioritization
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- Develop section-based and fixed-size chunking strategies
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- Create token budget management system
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- Design and implement document selection algorithm
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2. **Begin Phase 3 of Report Generation Module**:
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- Integrate with Groq's Llama 3.3 70B Versatile model for report synthesis
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- Implement map-reduce approach for processing documents
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- Create report templates for different query types
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- Add citation generation and reference management
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3. **Comprehensive Testing**:
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- Create end-to-end tests for the complete pipeline
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- Test with various document types and sizes
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- Evaluate performance and optimize as needed
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### Technical Notes
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- Using Jina Reader API for web scraping with BeautifulSoup as fallback
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- Implemented SQLite database for document storage with proper schema
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- Using asynchronous processing for improved performance in web scraping
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- Managing API keys securely through environment variables and configuration files
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- Planning to use Groq's Llama 3.3 70B Versatile model for report synthesis
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