docs: add deprecation warnings for addNoun and addVerb methods
- Add @deprecated JSDoc tags to TypeScript definitions
- Update all documentation examples to use modern add() and relate() API
- Preserve batch operations (addNouns, addVerbs) as they remain current
- Mark deprecated methods in both source and compiled definitions
Migration guide:
- addNoun(data, type, metadata) → add(data, { nounType: type, ...metadata })
- addVerb(source, target, type, metadata) → relate(source, target, type, metadata)
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21 changed files with 343 additions and 331 deletions
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@ -19,13 +19,13 @@ const brain = new BrainyData({ storage: { path: './my-data' } })
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#### **2. Data Operations (CRUD)**
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```typescript
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// ✅ CONSISTENT: Always (data, type, metadata) pattern
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await brain.addNoun(content, NounType.Person, { role: 'Engineer' })
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await brain.addNoun(content, NounType.Document, { title: 'API Guide' })
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// ✅ CONSISTENT: Always (data, metadata) pattern with nounType in metadata
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await brain.add(content, { nounType: NounType.Person, role: 'Engineer' })
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await brain.add(content, { nounType: NounType.Document, title: 'API Guide' })
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// ✅ CONSISTENT: Always (source, target, type, metadata) pattern
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await brain.addVerb(sourceId, targetId, VerbType.RelatedTo, { strength: 0.8 })
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await brain.addVerb(sourceId, targetId, VerbType.Contains, { confidence: 0.9 })
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// ✅ CONSISTENT: Always (source, target, type, metadata) pattern
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await brain.relate(sourceId, targetId, VerbType.RelatedTo, { strength: 0.8 })
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await brain.relate(sourceId, targetId, VerbType.Contains, { confidence: 0.9 })
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// ✅ CONSISTENT: Batch versions take arrays
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await brain.addNouns([...]) // Array of noun objects
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@ -58,10 +58,10 @@ await brain.related(id, limit?) // Returns simple array
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#### **Main Data Operations** (Direct on `brain`)
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```typescript
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// Core CRUD - most common operations
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brain.addNoun(content, type, metadata?)
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brain.addNouns(items[])
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brain.addVerb(source, target, type, metadata?)
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brain.addVerbs(items[])
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brain.add(content, metadata)
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brain.addNouns(items[]) // Batch operation - unchanged
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brain.relate(source, target, type, metadata?)
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brain.addVerbs(items[]) // Batch operation - unchanged
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brain.search(query, options?)
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brain.find(naturalLanguageQuery, options?) // Triple Intelligence
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@ -138,7 +138,7 @@ brain.storage.vacuum()
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const brain = new BrainyData()
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await brain.init()
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await brain.addNoun('My first document', NounType.Document)
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await brain.add('My first document', { nounType: NounType.Document })
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const results = await brain.search('document')
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const similar = await brain.similar('text1', 'text2')
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const groups = await brain.clusters()
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@ -193,9 +193,9 @@ for await (const batch of brain.neural.clusterStream({ batchSize: 50 })) {
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#### **1. Data-First Pattern**
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```typescript
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// Always: (data, type/config, optional_metadata)
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brain.addNoun(content, NounType.Document, metadata?)
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brain.addVerb(source, target, VerbType.RelatedTo, metadata?)
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// Always: (data, config/metadata, optional_params)
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brain.add(content, metadata) // nounType now in metadata
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brain.relate(source, target, VerbType.RelatedTo, metadata?)
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brain.search(query, options?)
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brain.similar(a, b, options?)
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```
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@ -270,8 +270,8 @@ try {
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import { BrainyData, NounType, VerbType } from '@soulcraft/brainy'
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const brain = new BrainyData()
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await brain.addNoun('content', NounType.Document, { title: 'My Doc' })
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// ^^^^^^^^^^^^^^^^ // IDE autocomplete!
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await brain.add('content', { nounType: NounType.Document, title: 'My Doc' })
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// ^^^^^^^^^^^^^^^^ // IDE autocomplete!
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```
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### **✅ 5. Flexible Configuration**
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@ -306,7 +306,7 @@ const brain = new BrainyData({
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* @param type - Relationship type (VerbType enum)
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* @param metadata - Optional relationship metadata
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*/
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brain.addVerb(source, target, type, metadata?)
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brain.relate(source, target, type, metadata?)
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```
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### **2. Error Context Enhancement**
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@ -12,7 +12,7 @@ const brain = new BrainyData() // Zero config!
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await brain.init()
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// Add data (text auto-embeds!)
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await brain.addNoun('The future of AI is here', 'content')
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await brain.add('The future of AI is here', { nounType: 'content' })
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// Search with Triple Intelligence
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const results = await brain.find({
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@ -295,7 +295,7 @@ Brainy uses its own clean, readable operators:
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### Basic Usage
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```typescript
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// Add data
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const id = await brain.addNoun('Quantum computing breakthrough', {
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const id = await brain.add('Quantum computing breakthrough', {
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category: 'technology',
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year: 2024,
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importance: 'high'
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@ -322,14 +322,14 @@ const articles = await brain.find({
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### Creating Knowledge Graphs
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```typescript
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// Add entities
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const ai = await brain.addNoun('Artificial Intelligence', 'concept')
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const ml = await brain.addNoun('Machine Learning', 'concept')
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const dl = await brain.addNoun('Deep Learning', 'concept')
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const ai = await brain.add('Artificial Intelligence', { nounType: 'concept' })
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const ml = await brain.add('Machine Learning', { nounType: 'concept' })
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const dl = await brain.add('Deep Learning', { nounType: 'concept' })
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// Create relationships
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await brain.addVerb(ml, ai, 'subset_of')
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await brain.addVerb(dl, ml, 'subset_of')
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await brain.addVerb(dl, ai, 'enables')
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await brain.relate(ml, ai, 'subset_of')
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await brain.relate(dl, ml, 'subset_of')
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await brain.relate(dl, ai, 'enables')
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// Traverse the graph
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const aiEcosystem = await brain.find({
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