# 🧠 Brainy 2.0 Final Complete API > **Clean, Powerful, Complete** - All features, beautifully organized. ## 📚 CORE DATA ### Nouns (Vectors with Metadata) ```typescript // Single Operations addNoun(textOrVector, metadata?) // Add noun (auto-embeds text!) getNoun(id) // Get one noun updateNoun(id, textOrVector?, metadata?) // Update noun deleteNoun(id) // Delete noun hasNoun(id) // Check if exists // Metadata Operations getNounMetadata(id) // Get metadata only updateNounMetadata(id, metadata) // Update metadata only getNounWithVerbs(id) // Get noun with relationships // Batch Operations addNouns(items[]) // Add multiple nouns getNouns(idsOrOptions) // Get multiple nouns (unified) deleteNouns(ids[]) // Delete multiple nouns ``` ### Verbs (Relationships) ```typescript addVerb(source, target, type, metadata?) // Create relationship getVerb(id) // Get verb deleteVerb(id) // Delete verb getVerbsBySource(sourceId) // Outgoing relationships getVerbsByTarget(targetId) // Incoming relationships getVerbsByType(type) // By relationship type ``` ## 🔍 SEARCH & INTELLIGENCE ### Core Search ```typescript search(query, k?) // Simple vector search find(query) // TRIPLE INTELLIGENCE 🧠 findSimilar(id, k?) // Find similar to noun ``` ### Neural API ```typescript neural.search(query) // Neural-enhanced search neural.cluster(options?) // Automatic clustering neural.extract(text) // Entity extraction neural.summarize(ids[]) // Summarize nouns neural.analyze(id) // Deep analysis neural.compare(id1, id2) // Semantic comparison neural.topics() // Topic modeling neural.patterns() // Pattern detection ``` ### Clustering ```typescript clusters.create(options?) // Create clusters clusters.get(id) // Get cluster clusters.list() // List all clusters clusters.addToCluster(clusterId, nounId) // Add to cluster clusters.optimize() // Re-optimize clusters clusters.suggest(nounId) // Suggest best cluster ``` ## 🧠 INTELLIGENCE FEATURES ### Triple Intelligence ```typescript tripleIntelligence.analyze(query) // Combined V+G+F analysis tripleIntelligence.explain(results) // Explain search results tripleIntelligence.optimize(query) // Query optimization ``` ### Verb Scoring ```typescript verbScoring.train(feedback) // Train scoring model verbScoring.getScore(verb) // Get verb score verbScoring.export() // Export training data verbScoring.import(data) // Import training data verbScoring.stats() // Get statistics ``` ### Embeddings ```typescript embed(text) // Generate embedding embedBatch(texts[]) // Batch embeddings similarity(a, b) // Calculate similarity distance(a, b, metric?) // Calculate distance ``` ## 📥 IMPORT/EXPORT ### Neural Import ```typescript neuralImport(data, options?) // Smart data import neuralImport.csv(file, options?) // Import CSV with AI neuralImport.json(data, options?) // Import JSON with AI neuralImport.text(text, options?) // Import text with NLP neuralImport.url(url, options?) // Import from URL neuralImport.batch(items[], options?) // Batch neural import ``` ### Data Management ```typescript import(data, format) // Standard import export(format) // Export data importSparse(data) // Import sparse format backup() // Create backup restore(backup) // Restore backup ``` ## 🔄 SYNC & DISTRIBUTION ### Real-time Sync ```typescript sync.enable(config) // Enable real-time sync sync.disable() // Disable sync sync.now() // Manual sync sync.status() // Sync status ``` ### Remote Operations ```typescript remote.connect(url, options?) // Connect to remote remote.disconnect() // Disconnect remote.search(query) // Search remote remote.sync() // Sync with remote ``` ### Conduits (Brainy-to-Brainy) ```typescript conduit.establish(url) // Create conduit conduit.send(data) // Send via conduit conduit.receive(callback) // Receive data conduit.close() // Close conduit ``` ### Synapses (External Platforms) ```typescript synapse.notion.connect(config) // Connect to Notion synapse.slack.connect(config) // Connect to Slack synapse.salesforce.connect(config) // Connect to Salesforce synapse.custom(platform, config) // Custom platform ``` ## 📊 ANALYTICS & MONITORING ### Statistics ```typescript size() // Total count stats() // Full statistics stats.byService(service) // Per-service stats stats.byType(type) // Per-type stats health() // Health check ``` ### Performance ```typescript cache.stats() // Cache statistics cache.clear() // Clear cache cache.optimize() // Optimize cache index.rebuild() // Rebuild index index.optimize() // Optimize index ``` ### Monitoring ```typescript monitor.enable() // Enable monitoring monitor.metrics() // Get metrics monitor.alerts() // Get alerts monitor.logs(options?) // Get logs ``` ## ⚙️ CONFIGURATION ### Operational Modes ```typescript setReadOnly(bool) // Read-only mode setWriteOnly(bool) // Write-only mode setFrozen(bool) // Freeze all changes getMode() // Current mode ``` ### Augmentations ```typescript augmentations.register(augmentation) // Add augmentation augmentations.list() // List all augmentations.get(name) // Get by name augmentations.enable(name) // Enable augmentations.disable(name) // Disable ``` ## 🔧 UTILITIES ### Data Operations ```typescript clear(options?) // Clear all clearNouns() // Clear nouns clearVerbs() // Clear verbs generateRandomGraph(nodes, edges) // Generate test data ``` ### Field Management ```typescript fields.list() // List indexed fields fields.values(field) // Get unique values fields.add(field) // Add field to index fields.remove(field) // Remove from index ``` ## 🚀 LIFECYCLE ```typescript // Creation & Initialization new BrainyData(config?) // Create instance init() // Initialize (REQUIRED!) warmup() // Warmup caches // Cleanup shutdown() // Graceful shutdown cleanup() // Clean resources // Static Methods BrainyData.preloadModel() // Preload ML model BrainyData.version // Get version ``` ## 📐 PROPERTIES ```typescript dimensions // Vector dimensions (readonly) initialized // Is initialized (readonly) mode // Current mode (readonly) ``` --- ## 🎯 Key Features Preserved ✅ **Neural Import** - Smart AI-powered data import ✅ **Clustering** - Automatic and manual clustering ✅ **Triple Intelligence** - Vector + Graph + Field combined ✅ **Verb Scoring** - Intelligent relationship scoring ✅ **Synapses** - External platform connectors ✅ **Conduits** - Brainy-to-Brainy sync ✅ **Neural API** - Advanced AI operations ✅ **Real-time Sync** - Live data synchronization ✅ **Monitoring** - Performance and health tracking ## 🚀 What's New in 2.0 1. **Auto-embedding** - `addNoun()` accepts text directly 2. **Unified `find()`** - One method for all complex queries 3. **Neural API** - Powerful AI operations built-in 4. **Augmentation System** - Extensible architecture 5. **Clean naming** - Specific noun/verb terminology 6. **No duplicates** - One method per operation