Terraphim AI Examples & Integration Guide

Comprehensive collection of examples, tutorials, and integration patterns for Terraphim AI across all platforms and use cases.

🎯 Quick Navigation

🔬 For Beginners

Getting Started - 5-minute quick start guide
Basic Search Examples - Simple search patterns
First AI Chat - Conversational AI basics

👨‍💻 For Developers

Code Integration - IDE and build system integration
API Examples - REST API and SDK usage
Web Development - Frontend integration examples

🔬 For Advanced Users

Multi-Source Search - Complex search strategies
Custom Scoring - Domain-specific optimization
Automation Workflows - Advanced automation patterns

🏢 For Enterprise

Team Integration - Jira, Confluence, SharePoint
Security Setup - Enterprise security configuration
Performance Tuning - Large-scale optimization

🔬 Getting Started

Quick Start Tutorial

Learn: Step-by-step coding environment with 6-stage development pipeline Time: 15 minutes Skills: Basic CLI usage, AI interaction, workflow automation

First Search

Learn: Lovable-style prototyping with intelligent model selection Time: 10 minutes
Skills: Model selection, cost optimization, prompt routing

Basic AI Chat

Learn: Multi-perspective analysis with 6 concurrent AI viewpoints Time: 20 minutes Skills: Parallel processing, synthesis, AI orchestration

👨‍💻 Code Integration

Claude Code Integration

Purpose: Direct IDE integration with Claude Code Features:

Real-time document search in IDE
Context-aware code suggestions
Automatic documentation lookup
Knowledge graph exploration in editor

Setup:

# Install Claude Code extension
npm install -g @terraphim/claude-code-hook

# Configure Terraphim integration
terraphim-agent config set ide.claude.enabled true

Cursor Integration

Purpose: Advanced codebase evaluation and analysis Features:

Comprehensive codebase analysis
Security vulnerability scanning
Performance optimization suggestions
Technical debt assessment

Usage:

# Run codebase evaluation
terraphim-agent evaluate --path ~/my-project --depth 3 --security-scan

# Generate improvement report
terraphim-agent evaluate --path ~/my-project --report detailed

Package Manager Integration

Purpose: Package management and development workflow automation Features:

Multi-registry package management
Dependency analysis and updates
Build tool integration
Development environment setup

Setup:

# Initialize in project directory
terraphim-pm init

# Add dependencies
terraphim-pm add react typescript

# Automated workflow
terraphim-pm build --test && terraphim-pm publish

🌐 Web Development

Autocomplete Engine

Purpose: Real-time search autocomplete for web applications Features:

Sub-millisecond search responses
Fuzzy matching and typo tolerance
Multi-language support (JavaScript, TypeScript, Python)
Knowledge graph integration

JavaScript Example:

import { TerraphimAutocomplete } from '@terraphim/autocomplete';

const engine = new TerraphimAutocomplete({
  dataPath: './data',
  scorer: 'tfidf'
});

const results = await engine.search('your query');
console.log(results);

React Integration

Purpose: React components for AI-powered search Features:

Search input component with autocomplete
Results display with highlighting
Knowledge graph visualization
Real-time search suggestions

React Example:

import { TerraphimSearch, TerraphimKnowledgeGraph } from '@terraphim/autocomplete/react';

function App() {
  return (
    <div>
      <TerraphimSearch 
        onSearch={handleSearch}
        placeholder="Search your knowledge..."
      />
      <TerraphimKnowledgeGraph query="your-query" />
    </div>
  );
}

🔍 Advanced Search

Multi-Source Integration

Purpose: Search across multiple data sources simultaneously Features:

Parallel search execution
Result aggregation and ranking
Source-specific optimization
Conflict resolution between sources

Configuration:

# Setup multiple sources
terraphim-agent add-source local --path ~/Documents
terraphim-agent add-source github --owner "username" --repo "repository"
terraphim-agent add-source confluence --url "https://company.atlassian.net"

# Search across all sources
terraphim-agent search --source local,github,confluence "query"

Custom Scoring

Purpose: Domain-specific search relevance optimization Available Scorers:

BM25: Best for technical documents and code
TFIDF: Excellent for general knowledge discovery
Jaccard: Perfect for exact matches and deduplication

Custom Implementation:

// Custom scorer example
use terraphim_service::score::{Scorer, Document};

pub struct CustomScorer {
    domain_weights: HashMap<String, f64>,
}

impl Scorer for CustomScorer {
    fn score(&self, query: &str, doc: &Document) -> f64 {
        // Custom scoring logic
        let base_score = self.base_scorer.score(query, doc);
        let domain_boost = self.domain_weights
            .get(doc.domain)
            .unwrap_or(1.0);
        base_score * domain_boost
    }
}

🤖 Automation Workflows

Advanced Orchestration

Purpose: Complex AI workflow management and optimization Features:

Multi-stage processing pipelines
Quality evaluation and optimization
Cost management and monitoring
Error handling and recovery

Workflow Example:

# advanced-workflow.yaml
name: "Research Analysis Pipeline"
stages:
  - name: "document-collection"
    type: "search"
    sources: ["local", "github"]
    
  - name: "ai-analysis"
    type: "chat"
    model: "claude-3-sonnet"
    prompt: "Analyze these documents for key themes"
    
  - name: "quality-evaluation"
    type: "score"
    scorer: "custom-domain"
    
  - name: "report-generation"
    type: "template"
    template: "research-analysis"

Batch Processing

Purpose: Large-scale document processing and analysis Features:

Parallel document indexing
Bulk search operations
Automated report generation
Performance monitoring

Usage:

# Batch process documents
terraphim-agent batch-process --input ./documents --output ./results --format json

# Parallel searches from file
terraphim-agent batch-search --input ./queries.txt --parallel 4

🏢 Enterprise Integration

Jira Integration

Purpose: Search across Jira tickets and project documentation Features:

Real-time Jira ticket search
Project and component context
Issue tracking and status updates
Integration with Confluence

Setup:

# Configure Jira connection
terraphim-agent add-source jira \
  --url "https://company.atlassian.net" \
  --username "[email protected]" \
  --project "PROJECTKEY"

# Search Jira tickets
terraphim-agent search --source jira "bug in authentication module"

SharePoint Integration

Purpose: Enterprise document repository integration Features:

SharePoint document indexing
Permission-aware search
Version history tracking
Integration with Microsoft 365

Configuration:

[sources.sharepoint]
url = "https://company.sharepoint.com"
tenant_id = "your-tenant-id"
client_id = "your-client-id"
scopes = ["Sites.Read.All", "User.Read.All"]

[search.sharepoint]
include_document_libraries = true
include_sites = true
max_results = 50

🔧 Security Setup

Enterprise Security

Purpose: Security configuration for enterprise environments Features:

Advanced authentication methods
Data encryption at rest
Access control and audit logging
Integration with enterprise security systems

Authentication Setup:

# OAuth2 integration
terraphim-agent config set auth.provider "oauth2"
terraphim-agent config set auth.client_id "your-client-id"
terraphim-agent config set auth.client_secret "your-client-secret"

# SAML integration
terraphim-agent config set auth.provider "saml"
terraphim-agent config set auth.idp_url "https://company.idp.com"

Access Control

Purpose: Fine-grained access control for data and features Features:

Role-based permissions
Team-based access control
Feature-level restrictions
Audit logging and compliance reporting

Configuration:

[access_control]
enabled = true
default_role = "reader"

[roles.admin]
permissions = ["read", "write", "delete", "admin"]

[roles.analyst]
permissions = ["read", "write"]
restrictions = ["sensitive_data"]

[roles.reader]
permissions = ["read"]
restrictions = ["api_keys", "configuration"]

📊 Performance Tuning

Large-Scale Optimization

Purpose: Performance optimization for enterprise deployments Metrics:

Search latency and throughput
Memory usage optimization
Concurrent user capacity
Cache hit rates and optimization

Optimization Strategies:

# Memory optimization
terraphim-agent config set performance.cache_size "4GB"
terraphim-agent config set performance.max_concurrent_queries "8"

# Search optimization
terraphim-agent config set search.indexing_threads "4"
terraphim-agent config set search.batch_size "100"

# Network optimization
terraphim-agent config set network.connection_pool_size "16"
terraphim-agent config set network.timeout_seconds "45"

Monitoring Setup

Purpose: Production monitoring and observability Features:

Performance metrics collection
Error rate monitoring
Usage analytics
Health check endpoints

Configuration:

# Enable monitoring
terraphim-agent config set monitoring.enabled true
terraphim-agent config set monitoring.metrics_endpoint "https://monitoring.company.com"

# Health checks
terraphim-agent health-check --detailed

# Performance metrics
terraphim-agent metrics --export prometheus --format json

🔗 API Reference

REST API Examples

Purpose: HTTP API integration examples Endpoints:

/api/v1/search - Semantic search
/api/v1/chat - AI conversation
/api/v1/knowledge-graph - Graph operations
/api/v1/documents - Document management

JavaScript Example:

// Advanced API usage
const response = await fetch('http://localhost:8090/api/v1/search', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    query: 'your search query',
    sources: ['local', 'github'],
    scorer: 'tfidf',
    max_results: 20
  })
});

const results = await response.json();
console.log('Search results:', results);

WebSocket Integration

Purpose: Real-time search and chat updates Features:

Live search results streaming
Real-time AI chat responses
Progress notifications
Connection management

WebSocket Example:

const ws = new WebSocket('ws://localhost:8090/ws');

ws.onmessage = function(event) {
  const data = JSON.parse(event.data);
  switch(data.type) {
    case 'search_results':
      console.log('Live search results:', data.results);
      break;
    case 'chat_response':
      console.log('AI response:', data.response);
      break;
  }
}

🛠️ Debugging & Troubleshooting

Common Issues

Purpose: Debug and resolve common integration issues

Connection Issues:

# Test API connectivity
curl -I http://localhost:8090/health

# Check WebSocket connection
wscat -c ws://localhost:8090/ws

# Debug authentication
terraphim-agent auth test --verbose

Performance Issues:

# Profile search performance
terraphim-agent search --profile "test query" --debug

# Monitor resource usage
terraphim-agent monitor --resources --duration 60

# Cache analysis
terraphim-agent cache stats --verbose

🚀 Advanced Tutorials

Custom Workflow Creation

Purpose: Create custom automated workflows Tutorial Path:

Basic Workflow - Learn fundamentals
Multi-Source Search - Add complexity
AI Integration - Add intelligence
Advanced Orchestration - Production workflows

Domain-Specific Solutions

Purpose: Industry-specific configurations and examples Available Domains:

Software Development: Code analysis, documentation search
Research: Literature review, concept discovery
Legal: Case law search, precedent analysis
Healthcare: Medical literature, clinical decision support
Finance: Regulation analysis, market research

Performance Optimization

Purpose: Optimize Terraphim for specific use cases Topics:

Large dataset handling
High-query throughput
Low-latency requirements
Memory-constrained environments

📚 Learning Resources

Video Tutorials

Getting Started: Complete installation and setup walkthrough
Advanced Features: Deep dive into AI capabilities
Integration Examples: Real-world integration scenarios
Performance Tuning: Optimization techniques and best practices

Community Examples

User Submissions: Community-contributed examples and workflows
Use Cases: Real-world deployment scenarios
Troubleshooting: Community solutions and workarounds
Feature Requests: Discussion and voting on new features

🎯 Choose Your Path

🔗 Getting Help

Documentation

Full Documentation - Complete guides and API reference
API Reference - Detailed API documentation
Architecture Guide - System design and components

Community Support

Discord: Join our Community for real-time help
GitHub Discussions: Start a Discussion for detailed questions
Issues: Report an Issue for bug reports and feature requests

Professional Support

Enterprise Support: Contact [email protected] for business-critical issues
Documentation Issues: Report documentation problems at [email protected]
Security Issues: Report security vulnerabilities at [email protected]

🚀 Start building with Terraphim AI today!

Whether you're a beginner looking to explore AI-powered search, a developer integrating advanced capabilities, or an enterprise deploying at scale, these examples provide the foundation for your success.

Last Updated: December 20, 2025 Version: Terraphim AI v1.3.0 Part of: Terraphim AI Documentation Suite