Hub_of_Epstein_Files_Directory

Bot Infrastructure

This directory contains configuration and documentation for automated bots that help organize, analyze, and search the Epstein files directory.

Available Bots

1. PDF Analysis Bot

Purpose: Analyzes uploaded PDF files to determine if they contain Epstein-related content.

Features:

• Automatic content analysis
• Keyword and entity detection
• Relevance scoring
• Auto-filing or trash routing
• Metadata extraction

Usage: See pdf-analysis-bot/README.md

2. Document Search Bot

Purpose: Provides intelligent search across all documents.

Features:

• Multi-engine search (Google, Bing, DuckDuckGo)
• Full-text search
• Entity-based search
• Image search capabilities
• Advanced filtering

Usage: See search-bot/README.md

3. Summarization Bot

Purpose: Generates summaries of documents and collections.

Features:

• Document summarization
• Key points extraction
• Executive summaries
• Multi-document synthesis

Usage: See summarization-bot/README.md

4. Cross-Reference Bot

Purpose: Identifies connections between documents and entities.

Features:

• Entity co-occurrence detection
• Document relationship mapping
• Citation tracking
• Network analysis

Usage: See cross-reference-bot/README.md

5. Timeline Generator Bot

Purpose: Creates chronological timelines from documents.

Features:

• Date extraction
• Event sequencing
• Timeline visualization
• Multi-source correlation

Usage: See timeline-bot/README.md

6. Entity Extraction Bot

Purpose: Identifies and catalogs people, places, and organizations.

Features:

• Named entity recognition
• Relationship mapping
• Character directory updates
• Location tracking

Usage: See entity-extraction-bot/README.md

7. Fact-Checking Bot

Purpose: Verifies claims and sources information.

Features:

• Source verification
• Cross-reference checking
• Credibility scoring
• Citation validation

Usage: See fact-checking-bot/README.md

8. Image Analysis Bot

Purpose: Analyzes and catalogs images and photographs.

Features:

• Image recognition
• Reverse image search
• Metadata extraction
• Face detection (when legally appropriate)
• Location identification

Usage: See image-analysis-bot/README.md

9. Document Indexing Bot

Purpose: Automatically indexes new documents.

Features:

• Automatic categorization
• Metadata extraction
• Index updates
• Cross-referencing

Usage: See indexing-bot/README.md

10. Source Verification Bot

Purpose: Validates document authenticity and sources.

Features:

• Source checking
• Authenticity verification
• Provenance tracking
• Quality scoring

Usage: See verification-bot/README.md

Bot Orchestration

Workflow Integration

Bots work together in automated workflows:

1. Document Upload → PDF Analysis Bot
2. If Relevant → Indexing Bot → Entity Extraction Bot
3. If Not Relevant → Moved to trash
4. After Indexing → Cross-Reference Bot + Timeline Bot
5. On Request → Search Bot, Summarization Bot, Fact-Checking Bot

Configuration

See config/orchestration.yml for workflow configuration.

Technical Architecture

Backend

• Python-based bot framework
• Azure AI Services integration
• GitHub Actions for automation
• Azure Cognitive Search

APIs Used

• Azure Document Intelligence
• Azure Cognitive Search
• Azure OpenAI Service
• Google Search API
• Bing Search API
• DuckDuckGo API

Data Storage

• Azure Blob Storage for documents
• GitHub repository for metadata
• Azure SQL for indexing
• Redis for caching

Security & Privacy

Data Protection

• Encrypted storage
• Secure API access
• Privacy-compliant processing
• Access logging

Content Filtering

• Automatic redaction of sensitive info
• Privacy law compliance
• Victim identity protection

Getting Started

Prerequisites

• Azure subscription (for AI services)
• GitHub account
• API keys for search engines
• Python 3.9+

Setup

1. Clone the repository
2. Configure Azure services
3. Set up API keys
4. Install dependencies
5. Run configuration script

See SETUP.md for detailed instructions.

Bot Development

Creating a New Bot

1. Follow bot template structure
2. Implement required interfaces
3. Add configuration
4. Write tests
5. Document usage

See DEVELOPMENT.md for guidelines.

Testing Bots

# Test individual bot
python -m pytest bots/bot-name/tests/

# Test all bots
python -m pytest bots/

# Integration tests
python -m pytest tests/integration/

Configuration Files

Bot Configs

• config/pdf-analysis.yml - PDF analysis settings
• config/search.yml - Search engine configuration
• config/ai-services.yml - Azure AI settings
• config/orchestration.yml - Workflow configuration

Secrets Management

• Use GitHub Secrets for sensitive data
• Azure Key Vault for API keys
• Environment variables for configuration

Monitoring & Logs

Bot Activity

• Activity logs in logs/
• Error reporting
• Performance metrics
• Usage statistics

Dashboards

• Bot performance dashboard
• Processing queue status
• Error rate monitoring
• Resource utilization

Usage Examples

Analyzing a PDF

# Upload via web interface
# Or trigger via GitHub Actions
# Or use CLI
python bots/pdf-analysis-bot/analyze.py --file path/to/document.pdf

Searching Documents

# Web interface search
# Or API call
curl -X POST https://api.example.com/search -d '{"query": "flight logs"}'

Generating Timeline

# Automatic generation
python bots/timeline-bot/generate.py --source docs/ --output timeline.html

Support

Documentation

• Individual bot READMEs
• API documentation
• Configuration guides
• Troubleshooting guides

Issues

Report bot issues on GitHub Issues with:

• Bot name
• Error messages
• Steps to reproduce
• Expected vs actual behavior

Future Enhancements

• Machine learning model improvements
• Additional language support
• Enhanced OCR capabilities
• Real-time processing
• Collaborative features
• Mobile app integration

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This bot infrastructure is continuously improved based on usage and feedback.

Last Updated: December 2024