v0.3.10

[0.3.10]

Added

• Agent Analysis Feature for Natural Language Document Analytics

  • Added integrated AI-powered analytics agent that enables natural language querying of processed document data
  • Key Capabilities: Convert natural language questions to SQL queries, generate interactive visualizations and tables, explore database schema automatically
  • Secure Architecture: All Python code execution happens in isolated AWS Bedrock AgentCore sandboxes, not in Lambda functions
  • Multi-Tool Agent System: Database discovery tool for schema exploration, Athena query tool for SQL execution, secure code sandbox for data transfer, Python visualization tool for charts and tables
  • Example Use Cases: Query document processing volumes and trends, analyze confidence scores and extraction accuracy, explore document classifications and content patterns, generate custom charts and data tables
  • Sample W2 Test Data: Includes 20 synthetic W2 tax documents for testing analytics capabilities
  • Configurable Models: Supports multiple AI models including Claude 3.7 Sonnet (default), Claude 3.5 Sonnet, Nova Pro/Lite, and Haiku
  • Web UI Integration: Accessible through "Document Analytics" section with real-time progress display and query history

• Automatic Glue Table Creation for Document Sections

  • Added automatic creation of AWS Glue tables for each document section type (classification) during processing
  • Tables are created dynamically when new section types are encountered, eliminating manual table creation
  • Consistent lowercase naming convention for tables ensures compatibility with case-sensitive S3 paths
  • Tables are configured with partition projection for efficient date-based queries without manual partition management
  • Automatic schema evolution - tables update when new fields are detected in extraction results