Terraphim AI documentation

Knowledge Graph Bug Reporting Enhancement

Overview

The Terraphim Knowledge Graph system has been significantly enhanced with comprehensive bug reporting and issue tracking terminology, providing advanced semantic understanding capabilities for structured technical documentation.

Enhancement Scope

New Knowledge Graph Files

bug-reporting.md

Core bug reporting concepts with comprehensive synonym coverage:

  • Steps to Reproduce - Reproduction procedures and testing methodologies
  • Expected Behaviour - Intended system behavior and requirements
  • Actual Behaviour - Observed problems and system malfunctions
  • Impact Analysis - Business and operational impact assessment
  • Bug Classification - Issue categorization and severity terminology
  • Quality Assurance - QA processes and testing procedures

issue-tracking.md

Domain-specific terminology for technical systems:

  • Payroll System Issues - Salary calculation and compensation problems
  • Data Consistency Problems - Synchronization and integrity issues
  • HR System Integration - Human resources system connectivity
  • System Integration Failures - Cross-system communication problems
  • Performance Degradation - System slowdown and bottleneck terminology
  • User Experience Issues - UI/UX problem descriptions

Implementation Details

Synonym Syntax Examples

The knowledge graph files use the synonyms:: syntax to define comprehensive concept relationships:

## Steps to Reproduce

The steps to reproduce section documents the exact sequence of actions needed to recreate the issue.

synonyms:: steps to reproduce, reproduction steps, repro steps, recreate issue, how to reproduce, reproduce bug, reproduce the issue, reproduction guide, step-by-step instructions

## Payroll System Issues

Payroll system problems affect employee compensation and HR processes requiring careful tracking and resolution.

synonyms:: payroll system, payroll processing, salary calculation, wage calculation, compensation system, payroll errors, payroll bugs, payroll discrepancies, employee pay issues, salary issues, wage problems

Knowledge Graph Integration

The enhanced knowledge graph integrates seamlessly with the existing Terraphim system:

{
  "name": "Terraphim Engineer",
  "relevance_function": "terraphim-graph",
  "kg": {
    "knowledge_graph_local": {
      "input_type": "markdown",
      "path": "docs/src/kg"
    }
  }
}

MCP Integration Testing

Comprehensive Test Suite

The enhancement includes extensive MCP (Model Context Protocol) integration testing:

test_bug_report_extraction.rs

  • Comprehensive Bug Report Testing: 2,615 paragraphs extracted from complex structured content
  • Short Content Analysis: 165 paragraphs extracted from minimal scenarios
  • Edge Case Validation: Mixed terminology and overlapping terms
  • Connectivity Analysis: Semantic relationship validation across bug report sections

test_kg_term_verification.rs

  • Autocomplete Validation: Domain-specific term availability testing
  • Performance Metrics: Term recognition across different knowledge areas
  • Role Integration: Terraphim Engineer role functionality validation

Performance Metrics

| Test Scenario | Result | Content Type | |---------------|--------|--------------| | Comprehensive Bug Report | 2,615 paragraphs | Complex structured documentation | | Short Content Scenarios | 165 paragraphs | Minimal content with key terms | | System Documentation | 830 paragraphs | Technical documentation |

Term Recognition Results

| Domain Area | Suggestions | Coverage | |-------------|-------------|-----------| | Payroll Systems | 3 suggestions | Provider, service, middleware | | Data Consistency | 9 suggestions | Analysis, network, connectivity | | Quality Assurance | 9 suggestions | Testing, validation, processing |

Functional Improvements

Enhanced Document Analysis

The knowledge graph enhancement provides significant improvements:

  1. Semantic Understanding: Process structured bug reports using semantic understanding rather than keyword matching
  2. Domain Coverage: Comprehensive terminology for technical documentation and issue tracking
  3. Extraction Performance: Robust paragraph extraction across different content types and sizes
  4. Term Recognition: Effective autocomplete functionality with expanded terminology

Advanced Functions

extract_paragraphs_from_automata

Extracts paragraphs starting at matched terms with context preservation:

let extract_result = service
    .call_tool(CallToolRequestParam {
        name: "extract_paragraphs_from_automata".into(),
        arguments: json!({
            "text": comprehensive_bug_report,
            "include_term": true,
            "role": "Terraphim Engineer"
        }),
    })
    .await?;

is_all_terms_connected_by_path

Validates semantic relationships across bug report sections:

let connectivity_result = service
    .call_tool(CallToolRequestParam {
        name: "is_all_terms_connected_by_path".into(),
        arguments: json!({
            "text": connectivity_text,
            "role": "Terraphim Engineer"
        }),
    })
    .await?;

Architecture Impact

Semantic Search Enhancement

The knowledge graph enhancement significantly improves semantic search capabilities:

  • Structured Information Extraction: Enhanced ability to extract structured information from technical documents
  • Domain-Specific Analysis: Improved processing of specialized content areas
  • Relationship Mapping: Better understanding of concept relationships and dependencies
  • Context Preservation: Maintains semantic context during document analysis

Scalable Knowledge Expansion

The implementation demonstrates a scalable approach to knowledge graph expansion:

  • Markdown-Based Files: Simple, maintainable format for knowledge definition
  • Systematic Synonym Coverage: Comprehensive terminology mapping for real-world usage
  • Test-Driven Validation: Comprehensive testing ensures practical utility
  • Role-Based Integration: Seamless integration with existing role configuration system

Usage Examples

Bug Report Analysis

The enhanced system can analyze structured bug reports and extract relevant information:

## Issue: Payroll System Data Inconsistency

### Steps to Reproduce
1. Navigate to payroll processing module
2. Select employee cohort
3. Execute salary calculation
4. Observe calculation discrepancies

### Expected Behavior
- Accurate wage calculations for all employees
- Data consistency across HR systems
- Proper system integration functionality

### Actual Behavior
- Incorrect salary calculations (30% of employees)
- Data synchronization failures
- System integration breakdowns

### Impact Analysis
- User experience degradation
- Operational cost increases
- Potential compliance risks

The system will recognize and extract relevant sections based on semantic understanding of the terminology.

Domain-Specific Search

Enhanced autocomplete and search functionality for specialized domains:

# Payroll-related searches
"salary calculation" → matches payroll system, wage calculation, compensation
"data inconsistency" → matches synchronization, integrity, consistency problems
"system integration" → matches connectivity, middleware, provider services

Testing and Validation

Test Execution

# Run comprehensive MCP integration tests
cargo test --test test_bug_report_extraction -- --nocapture
cargo test --test test_kg_term_verification -- --nocapture
cargo test --test test_working_advanced_functions -- --nocapture
cargo test --test test_selected_role_usage -- --nocapture

Validation Criteria

All tests validate:

  • ✅ Knowledge graph term integration
  • ✅ MCP function compatibility
  • ✅ Role-based processing
  • ✅ Semantic relationship maintenance
  • ✅ Performance characteristics

Future Enhancements

Planned Expansions

  1. Additional Domains: Healthcare, financial services, manufacturing terminology
  2. Multi-Language Support: International terminology and synonym support
  3. Dynamic Updates: Real-time knowledge graph modification capabilities
  4. Advanced Analytics: Knowledge graph usage analytics and optimization
  5. Integration APIs: External system integration for knowledge graph updates

Performance Optimization

  1. Caching Strategies: Improved response times for frequently accessed terms
  2. Parallel Processing: Concurrent analysis of multiple document sections
  3. Memory Optimization: Efficient storage and retrieval of large knowledge graphs
  4. Incremental Updates: Hot-reload capabilities for knowledge graph modifications

Conclusion

The Knowledge Graph Bug Reporting Enhancement significantly improves Terraphim's semantic understanding capabilities, providing:

  • Enhanced Document Analysis: Sophisticated processing of structured technical content
  • Domain-Specific Intelligence: Specialized knowledge for bug reporting and issue tracking
  • Scalable Architecture: Framework for expanding knowledge across additional domains
  • Comprehensive Testing: Robust validation ensuring production-ready functionality
  • Measurable Impact: Concrete performance improvements in document processing

This enhancement establishes Terraphim as a powerful platform for intelligent document analysis and semantic search across specialized technical domains.

Thesaurus MCP Integration