- Moved API design docs to docs/api-design/ - Moved planning docs to docs/planning/ - Root now only contains standard repo files (README, LICENSE, etc.) - Keeps CLAUDE.md and PLAN.md uncommitted for privacy Clean root directory for better project organization.
9.1 KiB
9.1 KiB
🧠 Brainy 2.0 Final Complete API
Clean, Powerful, Complete - All features, beautifully organized.
📚 CORE DATA
Nouns (Vectors with Metadata)
// 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)
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
search(query, k?) // Simple vector search
find(query) // TRIPLE INTELLIGENCE 🧠
findSimilar(id, k?) // Find similar to noun
Neural API
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
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
tripleIntelligence.analyze(query) // Combined V+G+F analysis
tripleIntelligence.explain(results) // Explain search results
tripleIntelligence.optimize(query) // Query optimization
Verb Scoring
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
embed(text) // Generate embedding
embedBatch(texts[]) // Batch embeddings
similarity(a, b) // Calculate similarity
distance(a, b, metric?) // Calculate distance
📥 IMPORT/EXPORT
Neural Import
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
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
sync.enable(config) // Enable real-time sync
sync.disable() // Disable sync
sync.now() // Manual sync
sync.status() // Sync status
Remote Operations
remote.connect(url, options?) // Connect to remote
remote.disconnect() // Disconnect
remote.search(query) // Search remote
remote.sync() // Sync with remote
Conduits (Brainy-to-Brainy)
conduit.establish(url) // Create conduit
conduit.send(data) // Send via conduit
conduit.receive(callback) // Receive data
conduit.close() // Close conduit
Synapses (External Platforms)
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
size() // Total count
stats() // Full statistics
stats.byService(service) // Per-service stats
stats.byType(type) // Per-type stats
health() // Health check
Performance
cache.stats() // Cache statistics
cache.clear() // Clear cache
cache.optimize() // Optimize cache
index.rebuild() // Rebuild index
index.optimize() // Optimize index
Monitoring
monitor.enable() // Enable monitoring
monitor.metrics() // Get metrics
monitor.alerts() // Get alerts
monitor.logs(options?) // Get logs
⚙️ CONFIGURATION
Operational Modes
setReadOnly(bool) // Read-only mode
setWriteOnly(bool) // Write-only mode
setFrozen(bool) // Freeze all changes
getMode() // Current mode
Augmentations
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
clear(options?) // Clear all
clearNouns() // Clear nouns
clearVerbs() // Clear verbs
generateRandomGraph(nodes, edges) // Generate test data
Field Management
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
// 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
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
- Auto-embedding -
addNoun()accepts text directly - Unified
find()- One method for all complex queries - Neural API - Powerful AI operations built-in
- Augmentation System - Extensible architecture
- Clean naming - Specific noun/verb terminology
- No duplicates - One method per operation