ira/.note/current_focus.md

Current Focus: Report Generation Module Implementation (Phase 2)

Latest Update (2025-02-27)

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.

Recent Progress

1. Report Generation Module Phase 1 Implementation:

   • Created a SQLite database manager with tables for documents and metadata
   • Implemented a document scraper with Jina Reader API integration and fallback mechanisms
   • Developed the basic report generator structure
   • Added URL retention, metadata storage, and content deduplication
   • Created comprehensive test scripts to verify functionality
   • Successfully tested document scraping, storage, and retrieval

2. Configuration Enhancements:

   • Implemented module-specific model assignments in the configuration
   • Added support for different LLM providers and endpoints
   • Added configuration for Jina AI's reranker
   • Added support for OpenRouter and Groq as LLM providers
   • Configured the system to use Groq's Llama 3.1 and 3.3 models for testing

3. LLM Interface Updates:

   • Enhanced the LLMInterface to support different models for different modules
   • Implemented dynamic model switching based on the module and function
   • Added support for Groq and OpenRouter providers
   • Optimized prompt templates for different LLM models

4. Search Execution Updates:

   • Fixed issues with the Serper API integration
   • Updated the search handler interface for better error handling
   • Implemented parallel search execution using thread pools
   • Enhanced the result collector to properly process and deduplicate results

5. Jina Reranker Integration:

   • Successfully integrated the Jina AI Reranker API to improve search result relevance
   • Fixed issues with API request and response format compatibility
   • Updated the reranker to handle different response structures
   • Improved error handling for a more robust integration

Current Tasks

1. Report Generation Module Implementation (Phase 2):

   • Implementing document prioritization based on relevance scores
   • Developing chunking strategies for long documents
   • Creating token budget management system
   • Designing document selection algorithm

2. Integration with Search Execution:

   • Connecting the report generation module to the search execution pipeline
   • Implementing automatic processing of search results
   • Creating end-to-end test cases for the integrated pipeline

3. UI Enhancement:

   • Adding report generation options to the UI
   • Implementing progress indicators for document scraping and report generation
   • Creating visualization components for search results

Next Steps

1. Complete Phase 2 of Report Generation Module:

   • Implement relevance-based document prioritization
   • Develop section-based and fixed-size chunking strategies
   • Create token budget management system
   • Design and implement document selection algorithm

2. Begin Phase 3 of Report Generation Module:

   • Integrate with Groq's Llama 3.3 70B Versatile model for report synthesis
   • Implement map-reduce approach for processing documents
   • Create report templates for different query types
   • Add citation generation and reference management

3. Comprehensive Testing:

   • Create end-to-end tests for the complete pipeline
   • Test with various document types and sizes
   • Evaluate performance and optimize as needed

Technical Notes

• Using Jina Reader API for web scraping with BeautifulSoup as fallback
• Implemented SQLite database for document storage with proper schema
• Using asynchronous processing for improved performance in web scraping
• Managing API keys securely through environment variables and configuration files
• Planning to use Groq's Llama 3.3 70B Versatile model for report synthesis