Knowledge Graph Documentation

Overview

The DocuMCP Knowledge Graph is an intelligent semantic network that captures relationships between projects, technologies, deployments, user preferences, and documentation patterns. It enables smart recommendations, deployment tracking, preference learning, and context-aware documentation generation.

Architecture

Core Components

• Graph Database: In-memory graph with persistent storage
• Node Types: Projects, technologies, configurations, deployments, users
• Edge Types: Relationships, dependencies, recommendations, usage patterns
• Intelligence Layer: Pattern recognition, recommendation engine, drift detection

Node Types

Project Nodes

interface ProjectNode {
  id: string;
  type: "project";
  properties: {
    name: string;
    path: string;
    primaryLanguage: string;
    framework?: string;
    lastAnalyzed: string;
    structure: {
      totalFiles: number;
      languages: Record<string, number>;
      hasTests: boolean;
      hasCI: boolean;
      hasDocs: boolean;
    };
  };
}

Technology Nodes

interface TechnologyNode {
  id: string;
  type: "technology";
  properties: {
    name: string;
    category: "language" | "framework" | "tool" | "platform";
    version?: string;
    ecosystem: string;
    popularity: number;
    stability: number;
  };
}

Configuration Nodes

interface ConfigurationNode {
  id: string;
  type: "configuration";
  properties: {
    ssg: string;
    settings: Record<string, any>;
    optimizations: string[];
    lastUsed: string;
    successRate: number;
  };
}

User Nodes

interface UserNode {
  id: string;
  type: "user";
  properties: {
    userId: string;
    preferences: {
      preferredSSGs: string[];
      expertise: "beginner" | "intermediate" | "advanced";
      technologies: string[];
    };
    activity: {
      totalDeployments: number;
      successfulDeployments: number;
      lastActive: string;
    };
  };
}

Edge Types

Project Relationships

• depends_on: Project dependencies and technology usage
• similar_to: Projects with similar characteristics
• derived_from: Project templates and forks

Deployment Tracking

• deployed_with: Project deployed using specific SSG/configuration
• succeeded_at: Successful deployment timestamp and metrics
• failed_at: Failed deployment with error analysis

User Patterns

• prefers: User SSG and technology preferences
• succeeded_with: User's successful deployment patterns
• learned_from: Preference updates based on experience

Recommendation Flows

• recommends: SSG recommendations with confidence scores
• optimizes_for: Configuration optimizations for specific scenarios
• suggests: Next-step suggestions based on current state

Knowledge Graph Integration

Initialization

import { initializeKnowledgeGraph, getKnowledgeGraph } from "./kg-integration";

// Initialize with storage directory
await initializeKnowledgeGraph("/path/to/storage");

// Get graph instance
const kg = await getKnowledgeGraph();

Project Management

Creating Projects

import { createOrUpdateProject } from "./kg-integration";

const project = await createOrUpdateProject({
  id: "my-project-123",
  timestamp: new Date().toISOString(),
  path: "/path/to/project",
  projectName: "My Documentation Site",
  structure: {
    totalFiles: 150,
    languages: {
      typescript: 80,
      javascript: 45,
      markdown: 25,
    },
    hasTests: true,
    hasCI: true,
    hasDocs: true,
  },
});

Querying Projects

// Find project by ID
const project = await kg.findNode({
  type: "project",
  properties: { id: "my-project-123" },
});

// Find similar projects
const similarProjects = await kg.findNodes({
  type: "project",
  properties: {
    "structure.primaryLanguage": "typescript",
  },
});

Deployment Tracking

Recording Deployments

import { trackDeployment } from "./kg-integration";

// Successful deployment
await trackDeployment("project-123", "docusaurus", true, {
  buildTime: 45000,
  branch: "main",
  customDomain: "docs.example.com",
});

// Failed deployment
await trackDeployment("project-123", "hugo", false, {
  errorMessage: "Build failed: missing dependencies",
  failureStage: "build",
  buildTime: 15000,
});

Querying Deployment History

// Get all deployments for a project
const deployments = await kg.findEdges({
  source: "project:my-project-123",
  type: "deployed_with",
});

// Get successful deployments only
const successfulDeployments = deployments.filter(
  (edge) => edge.properties.success === true,
);

Recommendation Engine

SSG Recommendations

import { getDeploymentRecommendations } from "./kg-integration";

const recommendations = await getDeploymentRecommendations("project-123");

// Returns sorted by confidence
recommendations.forEach((rec) => {
  console.log(`${rec.ssg}: ${rec.confidence}% confidence`);
  console.log(`Reason: ${rec.reason}`);
});

Technology Compatibility

// Find compatible technologies
const compatibleSSGs = await kg.findEdges({
  source: "technology:react",
  type: "compatible_with",
});

const recommendations = compatibleSSGs
  .filter((edge) => edge.target.startsWith("ssg:"))
  .sort((a, b) => b.confidence - a.confidence);

User Preference Learning

Preference Management

import { getUserPreferenceManager } from "./user-preferences";

const manager = await getUserPreferenceManager("user-123");

// Track SSG usage
await manager.trackSSGUsage({
  ssg: "docusaurus",
  success: true,
  timestamp: new Date().toISOString(),
  projectType: "javascript-library",
});

// Get personalized recommendations
const personalizedRecs = await manager.getSSGRecommendations();

Learning Patterns

// Update preferences based on deployment success
await manager.updatePreferences({
  preferredSSGs: ["docusaurus", "hugo"],
  expertise: "intermediate",
  technologies: ["react", "typescript", "node"],
});

// Get usage statistics
const stats = await manager.getUsageStatistics();
console.log(`Total deployments: ${stats.totalDeployments}`);
console.log(`Success rate: ${stats.successRate}%`);

Code Integration (Phase 1.2)

Code File Entities

import { createCodeFileEntities } from "./kg-code-integration";

// Create code file nodes with AST analysis
const codeFiles = await createCodeFileEntities(
  "project-123",
  "/path/to/repository",
);

// Each code file includes:
// - Functions and classes (via AST parsing)
// - Dependencies and imports
// - Complexity metrics
// - Change detection (content hash)

Documentation Linking

import {
  createDocumentationEntities,
  linkCodeToDocs,
} from "./kg-code-integration";

// Create documentation section nodes
const docSections = await createDocumentationEntities(
  "project-123",
  extractedContent,
);

// Link code files to documentation
const relationships = await linkCodeToDocs(codeFiles, docSections);

// Detect outdated documentation
const outdatedLinks = relationships.filter(
  (edge) => edge.type === "outdated_for",
);

Query Patterns

Basic Queries

Node Queries

// Find all projects using React
const reactProjects = await kg.findNodes({
  type: "project",
  properties: {
    "structure.technologies": { contains: "react" },
  },
});

// Find high-success configurations
const reliableConfigs = await kg.findNodes({
  type: "configuration",
  properties: {
    successRate: { gte: 0.9 },
  },
});

Edge Queries

// Find all deployment relationships
const deployments = await kg.findEdges({
  type: "deployed_with",
});

// Find user preferences
const userPrefs = await kg.findEdges({
  source: "user:developer-123",
  type: "prefers",
});

Complex Queries

Multi-hop Traversal

// Find recommended SSGs for similar projects
const recommendations = await kg.query(`
  MATCH (p1:project {id: 'my-project'})
  MATCH (p2:project)-[:similar_to]-(p1)
  MATCH (p2)-[:deployed_with]->(config:configuration)
  WHERE config.successRate > 0.8
  RETURN config.ssg, AVG(config.successRate) as avgSuccess
  ORDER BY avgSuccess DESC
`);

Aggregation Queries

// Get deployment statistics by SSG
const ssgStats = await kg.aggregate({
  groupBy: "ssg",
  metrics: ["successRate", "buildTime", "userSatisfaction"],
  filters: {
    timestamp: { gte: "2024-01-01" },
  },
});

Pattern Detection

Success Patterns

// Identify high-success patterns
const successPatterns = await kg.findPatterns({
  nodeType: "project",
  edgeType: "deployed_with",
  threshold: 0.9,
  minOccurrences: 5,
});

// Example pattern: TypeScript + Docusaurus = 95% success rate

Failure Analysis

// Analyze failure patterns
const failurePatterns = await kg.findPatterns({
  nodeType: "project",
  edgeType: "failed_at",
  groupBy: ["technology", "ssg", "errorType"],
});

Memory Management

Storage and Persistence

// Configure storage directory
const storage = new KnowledgeGraphStorage({
  directory: "/path/to/kg-storage",
  format: "jsonl", // or "sqlite", "json"
  compression: true,
  backupInterval: "daily",
});

// Initialize with storage
await initializeKnowledgeGraph(storage);

Memory Cleanup

import { memoryCleanup } from "./memory-management";

// Clean old memories (default: 30 days)
await memoryCleanup({
  daysToKeep: 30,
  dryRun: false, // Set true to preview
});

Memory Export/Import

import { memoryExport, memoryImportAdvanced } from "./memory-management";

// Export knowledge graph
await memoryExport({
  format: "json",
  outputPath: "/backup/kg-export.json",
  filter: {
    nodeTypes: ["project", "configuration"],
    dateRange: { since: "2024-01-01" },
  },
});

// Import knowledge graph
await memoryImportAdvanced({
  inputPath: "/backup/kg-export.json",
  options: {
    mergeStrategy: "update",
    validateSchema: true,
    conflictResolution: "newer-wins",
  },
});

Analytics and Insights

Memory Insights

import { memoryInsights } from "./memory-management";

const insights = await memoryInsights({
  projectId: "my-project",
  timeRange: {
    from: "2024-01-01",
    to: "2024-12-31",
  },
});

console.log(`Deployment success rate: ${insights.deploymentSuccessRate}`);
console.log(`Most successful SSG: ${insights.mostSuccessfulSSG}`);
console.log(`Optimization opportunities: ${insights.optimizations.length}`);

Temporal Analysis

import { memoryTemporalAnalysis } from "./memory-management";

const trends = await memoryTemporalAnalysis({
  analysisType: "patterns",
  query: {
    nodeType: "project",
    edgeType: "deployed_with",
    timeWindow: "monthly",
  },
});

// Analyze deployment trends over time
trends.patterns.forEach((pattern) => {
  console.log(`${pattern.month}: ${pattern.successRate}% success`);
});

Intelligent Analysis

import { memoryIntelligentAnalysis } from "./memory-management";

const analysis = await memoryIntelligentAnalysis({
  projectPath: "/path/to/project",
  baseAnalysis: repositoryAnalysis,
});

console.log(`Predicted success rate: ${analysis.predictions.successRate}`);
console.log(`Recommendations: ${analysis.recommendations.length}`);
console.log(`Risk factors: ${analysis.riskFactors.length}`);

Visualization

Network Visualization

import { memoryVisualization } from "./memory-management";

// Generate network diagram
const networkViz = await memoryVisualization({
  visualizationType: "network",
  options: {
    layout: "force-directed",
    nodeSize: "degree",
    colorBy: "nodeType",
    filterEdges: ["deployed_with", "recommends"],
  },
});

// Export as SVG or interactive HTML
await networkViz.export("/output/knowledge-graph.svg");

Timeline Dashboard

// Generate deployment timeline
const timeline = await memoryVisualization({
  visualizationType: "timeline",
  options: {
    timeRange: "last-6-months",
    groupBy: "project",
    metrics: ["success-rate", "build-time"],
    interactive: true,
  },
});

Best Practices

Performance Optimization

• Use indexed queries for frequent lookups
• Implement query result caching for repeated patterns
• Periodically clean up outdated relationships
• Use batch operations for bulk updates

Data Quality

• Validate node properties before insertion
• Implement schema versioning for compatibility
• Use unique constraints to prevent duplicates
• Regular integrity checks and repair

Security and Privacy

• Encrypt sensitive preference data
• Implement access controls for user data
• Audit log for data access and modifications
• GDPR compliance for user preference management

Monitoring and Maintenance

• Monitor query performance and optimization
• Track knowledge graph growth and memory usage
• Automated backup and disaster recovery
• Version control for schema changes

Troubleshooting

Common Issues

Memory Growth

• Implement periodic cleanup of old deployment records
• Archive historical data beyond retention period
• Monitor node/edge count growth patterns

Query Performance

• Add indexes for frequently queried properties
• Optimize complex traversal queries
• Use query result caching for expensive operations

Data Consistency

• Validate relationships before creation
• Implement transaction-like operations for atomic updates
• Regular consistency checks and repair tools

Debug Tools

Graph Inspector

import { graphInspector } from "./debug-tools";

const stats = await graphInspector.getStatistics();
console.log(`Nodes: ${stats.nodeCount}, Edges: ${stats.edgeCount}`);
console.log(`Storage size: ${stats.storageSize}MB`);

const orphanedNodes = await graphInspector.findOrphanedNodes();
console.log(`Orphaned nodes: ${orphanedNodes.length}`);

Query Profiler

const profiler = await graphInspector.profileQuery(complexQuery);
console.log(`Execution time: ${profiler.executionTime}ms`);
console.log(`Nodes traversed: ${profiler.nodesTraversed}`);
console.log(`Optimization suggestions: ${profiler.suggestions}`);

Related Documentation

• Memory System - Overall memory architecture and patterns
• User Preferences - Preference learning and management
• Deployment Tracking - Deployment outcome analysis
• Repository Analysis - Project analysis and indexing