Intelligent Document Analysis Using Multi-Agent Systems
The Document Comparison project represents a breakthrough in automated document analysis, utilizing a multi-agent LLM system to intelligently compare documents of any length while maintaining accuracy and preventing hallucinations.
The user interface is designed for simplicity and efficiency, allowing users to: • Upload multiple documents in various formats • Preview document contents before processing • Set comparison parameters and preferences • Track upload and processing status in real-time
The core innovation lies in the multi-agent approach to document comparison: • Documents are strategically segmented for parallel processing • Multiple LLM agents work collaboratively on different sections • Cross-validation between agents ensures accuracy • Dynamic workload distribution based on document complexity • Real-time coordination and consensus building between agents
The final output provides a comprehensive yet clear comparison: • Hierarchical organization of similarities and differences • Direct text references with context • Confidence scores for each comparison point • Interactive navigation through comparison results • Exportable reports in multiple formats
The project overcame several key challenges in document comparison:
Traditional LLM-based comparison tools struggle with longer documents due to context window limitations. My solution implements a sophisticated segmentation and reconstruction approach that maintains coherence while handling documents of any length.
The multi-agent system includes built-in verification mechanisms where agents cross-check each other's findings. This dramatically reduces the risk of hallucinated content or incorrect references in the comparison output.
The system architecture is designed to scale horizontally, allowing for: • Parallel processing of multiple document pairs • Dynamic allocation of computational resources • Efficient handling of large document volumes • Real-time processing status updates
This project demonstrates the potential of collaborative AI systems in handling complex document analysis tasks, providing a robust solution for detailed document comparison regardless of length or complexity.