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vendor/ruvector/docs/integration/PSYCHO-SYMBOLIC-INTEGRATION.md
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# 🧠 Psycho-Symbolic Integration for Ruvector
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## Overview
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The Ruvector ecosystem now includes **psycho-symbolic-reasoner**, adding ultra-fast symbolic AI reasoning capabilities to complement vector databases and synthetic data generation.
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## 🎯 What is Psycho-Symbolic Reasoning?
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Psycho-symbolic reasoning combines:
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- **Symbolic AI**: Fast, deterministic logical reasoning (0.3ms queries)
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- **Psychological Modeling**: Human-centric factors (sentiment, preferences, affect)
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- **Graph Intelligence**: Knowledge representation and traversal
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### Performance Comparison
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| System | Simple Query | Complex Reasoning | Memory |
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|--------|--------------|-------------------|--------|
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| **Psycho-Symbolic** | **0.3ms** | **2.1ms** | **8MB** |
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| GPT-4 Reasoning | 150ms | 800ms | 2GB+ |
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| Traditional Reasoners | 5-25ms | 50-200ms | 64-512MB |
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**100-500x faster** than neural approaches!
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## 🚀 Quick Start
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### Installation
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```bash
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# Install psycho-symbolic-reasoner
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npm install psycho-symbolic-reasoner
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# Install integration package
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npm install psycho-symbolic-integration
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```
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### Basic Usage
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```typescript
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import { quickStart } from 'psycho-symbolic-integration';
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// Initialize integrated system
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const system = await quickStart(process.env.GEMINI_API_KEY);
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// Analyze text for sentiment and preferences
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const analysis = await system.analyzeText(
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"I prefer quick, easy activities for stress relief"
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);
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console.log(analysis.sentiment); // { score: 0.7, emotion: 'calm' }
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console.log(analysis.preferences); // Extracted preferences
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// Generate data with psychological guidance
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const result = await system.generateIntelligently('structured', {
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count: 100,
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schema: { activity: 'string', duration: 'number' }
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}, {
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targetSentiment: { score: 0.7, emotion: 'happy' },
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userPreferences: ['I like quick results'],
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qualityThreshold: 0.9
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});
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```
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## 🔗 Integration with Ruvector Ecosystem
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### 1. With Agentic-Synth
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**Psychologically-guided synthetic data generation**:
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```typescript
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import { AgenticSynth } from '@ruvector/agentic-synth';
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import { PsychoSymbolicReasoner } from 'psycho-symbolic-reasoner';
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import { AgenticSynthAdapter } from 'psycho-symbolic-integration/adapters';
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const reasoner = new PsychoSymbolicReasoner();
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const synth = new AgenticSynth();
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const adapter = new AgenticSynthAdapter(reasoner, synth);
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// Generate data guided by preferences
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const result = await adapter.generateWithPsychoGuidance('structured', {
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count: 100,
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schema: productSchema
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}, {
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userPreferences: ['I prefer eco-friendly products', 'Quality over price'],
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targetSentiment: { score: 0.8, emotion: 'satisfied' }
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});
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console.log(`Preference alignment: ${result.psychoMetrics.preferenceAlignment}`);
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console.log(`Sentiment match: ${result.psychoMetrics.sentimentMatch}`);
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```
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### 2. With Ruvector Vector Database
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**Hybrid symbolic + vector queries**:
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```typescript
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import { Ruvector } from 'ruvector';
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import { RuvectorAdapter } from 'psycho-symbolic-integration/adapters';
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const reasoner = new PsychoSymbolicReasoner();
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const vectorAdapter = new RuvectorAdapter(reasoner, {
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dbPath: './data/vectors.db',
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dimensions: 768
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});
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await vectorAdapter.initialize();
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// Load knowledge graph
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await vectorAdapter.storeKnowledgeGraph({
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nodes: [ /* entities */ ],
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edges: [ /* relationships */ ]
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});
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// Hybrid query: 60% symbolic logic, 40% vector similarity
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const results = await vectorAdapter.hybridQuery(
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'Find stress management techniques',
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{ symbolicWeight: 0.6, vectorWeight: 0.4 }
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);
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// Results combine logical reasoning with semantic search
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results.forEach(r => {
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console.log(`${r.nodes[0].id}: ${r.reasoning.combinedScore}`);
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console.log(` Symbolic: ${r.reasoning.symbolicMatch}`);
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console.log(` Semantic: ${r.reasoning.semanticMatch}`);
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});
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```
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### 3. Complete Integration
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**All three systems working together**:
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```typescript
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import { IntegratedPsychoSymbolicSystem } from 'psycho-symbolic-integration';
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const system = new IntegratedPsychoSymbolicSystem({
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reasoner: {
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enableGraphReasoning: true,
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enableAffectExtraction: true,
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enablePlanning: true
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},
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synth: {
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provider: 'gemini',
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apiKey: process.env.GEMINI_API_KEY,
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cache: { enabled: true }
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},
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vector: {
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dbPath: './data/vectors.db',
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dimensions: 768
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}
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});
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await system.initialize();
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// Now you can:
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// 1. Analyze sentiment and preferences (0.4ms)
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// 2. Generate psychologically-guided data (2-5s)
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// 3. Perform hybrid reasoning queries (10-50ms)
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// 4. Plan data strategies with GOAP (2ms)
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const plan = await system.planDataGeneration(
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'Generate 1000 wellness activities',
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{ targetQuality: 0.9, maxDuration: 30 }
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);
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```
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## 📊 Key Capabilities
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### 1. Sentiment Analysis (0.4ms)
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```typescript
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const sentiment = await system.reasoner.extractSentiment(
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"I'm feeling overwhelmed with work deadlines"
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);
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// { score: -0.6, primaryEmotion: 'stressed', confidence: 0.87 }
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```
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### 2. Preference Extraction (0.6ms)
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```typescript
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const prefs = await system.reasoner.extractPreferences(
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"I prefer quiet environments for deep thinking"
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);
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// [ { type: 'likes', subject: 'environments', object: 'quiet', strength: 0.9 } ]
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```
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### 3. Graph Reasoning (1.2ms)
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```typescript
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const results = await system.reasoner.queryGraph({
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pattern: 'find activities that help with stress',
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maxResults: 5
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});
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```
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### 4. Goal-Oriented Planning (2ms)
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```typescript
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const plan = await system.reasoner.plan({
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goal: 'reduce user stress',
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currentState: { stressLevel: 0.8 },
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availableActions: ['meditate', 'exercise', 'rest']
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});
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```
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## 🎯 Use Cases
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### Healthcare & Wellness
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- **Patient analysis**: Extract sentiment and preferences from patient feedback
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- **Treatment planning**: Goal-oriented planning for personalized care
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- **Data generation**: Create realistic patient scenarios for training
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### Customer Analytics
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- **Feedback analysis**: Instant sentiment extraction from reviews
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- **Preference modeling**: Build user preference profiles
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- **Synthetic data**: Generate customer scenarios for testing
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### AI Training
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- **Quality data**: Psychologically-validated training datasets
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- **Preference alignment**: Ensure AI matches user expectations
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- **Sentiment control**: Generate data with specific emotional tones
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### Business Intelligence
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- **Fast rules**: Execute thousands of business rules per second
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- **Recommendations**: Instant, explainable recommendations
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- **Decision support**: Real-time what-if analysis
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## 🔬 Technical Details
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### Architecture
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```
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┌────────────────────────────────────────────────┐
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│ IntegratedPsychoSymbolicSystem │
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├─────────────┬────────────────┬─────────────────┤
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│ Psycho- │ Agentic- │ Ruvector │
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│ Symbolic │ Synth │ (Optional) │
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│ Reasoner │ Adapter │ Adapter │
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├─────────────┼────────────────┼─────────────────┤
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│ │ │ │
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│ WASM/Rust │ Preference │ Vector search │
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│ 0.3ms │ guidance │ Embeddings │
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│ Symbolic │ Sentiment │ Hybrid queries │
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│ Graph │ validation │ Semantic cache │
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│ Planning │ Quality score │ │
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└─────────────┴────────────────┴─────────────────┘
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```
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### Why It's Fast
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1. **WebAssembly**: Near-native performance (Rust compiled to WASM)
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2. **Zero-Copy**: Direct memory access between JS and WASM
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3. **Lock-Free**: Wait-free algorithms for concurrent access
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4. **Intelligent Caching**: Multi-level cache hierarchy
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5. **SIMD**: Vectorized operations for batch processing
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### Memory Efficiency
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- **Compact**: ~8MB memory footprint
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- **Efficient**: Bit-packed data structures
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- **Pooling**: Reusable allocation pools
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- **Lazy**: On-demand module initialization
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## 📚 Documentation
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- **Integration Guide**: [INTEGRATION-GUIDE.md](../packages/psycho-symbolic-integration/docs/INTEGRATION-GUIDE.md)
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- **API Reference**: [README.md](../packages/psycho-symbolic-integration/docs/README.md)
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- **Examples**: [examples/](../packages/psycho-symbolic-integration/examples/)
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## 🔗 Links
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- **Psycho-Symbolic Reasoner**: [npm](https://www.npmjs.com/package/psycho-symbolic-reasoner)
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- **Integration Package**: [psycho-symbolic-integration](../packages/psycho-symbolic-integration)
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- **Agentic-Synth**: [@ruvector/agentic-synth](../packages/agentic-synth)
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- **Ruvector**: [Main repo](https://github.com/ruvnet/ruvector)
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## 🎉 Getting Started
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```bash
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# Install dependencies
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npm install psycho-symbolic-reasoner @ruvector/agentic-synth psycho-symbolic-integration
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# Run the complete integration example
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cd packages/psycho-symbolic-integration
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npx tsx examples/complete-integration.ts
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```
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**Experience 100x faster reasoning with psychological intelligence!** 🚀
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