Fixed critical documentation error: - Corrected 24 nouns → 31 nouns in noun-verb-taxonomy.md (3 locations) - Updated combination count from 960 → 1,240 Added "What Can You Build?" section to README with real-world use cases: - Intelligent documentation systems - AI agents with perfect memory - Rich interactive experiences - Next-gen search & discovery - Enterprise knowledge management - Creative tools & content platforms 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
729 lines
22 KiB
Markdown
729 lines
22 KiB
Markdown
# Brainy
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<p align="center">
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<img src="https://raw.githubusercontent.com/soulcraftlabs/brainy/main/brainy.png" alt="Brainy Logo" width="200">
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</p>
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[](https://www.npmjs.com/package/@soulcraft/brainy)
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[](https://www.npmjs.com/package/@soulcraft/brainy)
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[](LICENSE)
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[](https://www.typescriptlang.org/)
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**🧠 Brainy - The Knowledge Operating System**
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**The world's first Knowledge Operating System** where every piece of knowledge - files, concepts, entities, ideas - exists as living information that understands itself, evolves over time, and connects to everything related.
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**Why Brainy Changes Everything**: Traditional systems trap knowledge in files or database rows. Brainy liberates it. Your characters exist across stories. Your concepts span projects. Your APIs remember their evolution. Every piece of knowledge - whether it's code, prose, or pure ideas - lives, breathes, and connects in a unified intelligence layer where everything understands its meaning, remembers its history, and relates to everything else.
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Built on revolutionary **Triple Intelligence™** that unifies vector similarity, graph relationships, and document filtering in one magical API. **Framework-first design.** Zero configuration. O(log n) performance, <10ms search latency. **Production-ready for billion-scale deployments.**
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---
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## 🎉 NEW in v4.0.0 - Enterprise-Scale Cost Optimization
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**Major Release: Production cost optimization and enterprise-scale features**
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### 💰 **Up to 96% Storage Cost Savings**
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Automatic cloud storage lifecycle management for **AWS S3**, **Google Cloud Storage**, and **Azure Blob Storage**:
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- **GCS Autoclass**: Fully automatic tier optimization (94% savings!)
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- **AWS Intelligent-Tiering**: Smart archival with instant retrieval
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- **Azure Lifecycle Policies**: Automatic tier transitions
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- **Cost Impact**: $138,000/year → $5,940/year @ 500TB scale
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### ⚡ **Performance at Billion-Scale**
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- **1000x faster batch deletions** (533 entities/sec vs 0.5/sec)
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- **60-80% FileSystem compression** with gzip
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- **OPFS quota monitoring** for browser storage
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- **Enhanced CLI** with 47 commands including 9 storage management tools
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### 🛡️ **Zero Breaking Changes**
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**100% backward compatible.** No migration required. All new features are opt-in.
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**[📖 Read the full v4.0.0 Changelog →](CHANGELOG.md)** | **[Migration Guide →](docs/MIGRATION-V3-TO-V4.md)**
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---
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## 🎯 What Makes Brainy Revolutionary?
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### 🧠 **Triple Intelligence™ - The Impossible Made Possible**
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**The world's first to unify three database paradigms in ONE API:**
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- **Vector Search** 🔍 Semantic similarity like Pinecone/Weaviate
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- **Graph Relationships** 🕸️ Navigate connections like Neo4j/ArangoDB
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- **Document Filtering** 📊 MongoDB-style queries with O(log n) performance
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**Others make you choose.** Vector OR graph OR document. **Brainy does ALL THREE together.** This is what enables The Knowledge Operating System.
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### 🚀 **Zero Configuration - Just Works™**
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```javascript
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import { Brainy } from '@soulcraft/brainy'
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const brain = new Brainy()
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await brain.init()
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// That's it! Auto-detects storage, optimizes memory, configures everything.
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```
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No configuration files. No environment variables. No complex setup. **It just works.**
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### ⚡ **Production Performance at Any Scale**
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- **<10ms search** across millions of entities
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- **87% memory reduction** @ billion scale (384GB → 50GB)
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- **10x faster queries** with type-aware indexing
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- **99% storage cost savings** with intelligent archival
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- **Container-aware** memory allocation (Docker/K8s)
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### 🎯 **31 Noun Types × 40 Verb Types = Infinite Expressiveness**
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Model **ANY domain** with 1,240 base type combinations + unlimited metadata:
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- Healthcare: Patient → diagnoses → Condition
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- Finance: Account → transfers → Transaction
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- Manufacturing: Product → assembles → Component
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- Education: Student → completes → Course
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- **Your domain**: Your types + Your relationships = Your knowledge graph
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[→ See the Mathematical Proof](docs/architecture/noun-verb-taxonomy.md)
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---
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## 💡 What Can You Build?
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**Brainy unlocks entirely new categories of applications.** Here's what developers are building:
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### 📚 **Intelligent Documentation Systems**
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- **Living knowledge bases** where docs understand each other and evolve
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- **Smart wikis** that auto-link related concepts and detect outdated information
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- **Research assistants** that remember every paper you've read and find connections
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### 🤖 **AI Agents with Perfect Memory**
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- **Conversational AI** that remembers context across months, not just messages
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- **Code assistants** that understand your entire codebase as a knowledge graph
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- **Personal assistants** with unlimited memory that never forgets important details
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### 🎮 **Rich Interactive Experiences**
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- **Game worlds** where NPCs remember every interaction and relationships evolve
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- **Story engines** where characters persist across multiple narratives
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- **Educational platforms** that build personalized knowledge graphs as you learn
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### 🔍 **Next-Gen Search & Discovery**
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- **Semantic code search** across millions of repositories
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- **Smart file explorers** that understand code relationships, not just folders
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- **Research platforms** that find papers by meaning, not keywords
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### 🏢 **Enterprise Knowledge Management**
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- **Corporate memory systems** where institutional knowledge never gets lost
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- **Customer intelligence** platforms that understand every interaction
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- **Product catalogs** with semantic search and relationship-based recommendations
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### 🎨 **Creative Tools & Content Platforms**
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- **Writing assistants** that track characters, plotlines, and themes across stories
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- **Content management** where every asset knows its relationships and history
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- **Media libraries** with intelligent tagging and similarity-based discovery
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**The Pattern**: If your app needs to **remember**, **understand**, or **connect** information, Brainy makes it trivial.
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---
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## ⚡ Quick Start - Zero Configuration
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```bash
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npm install @soulcraft/brainy
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```
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### 🎯 **Your First Knowledge Graph in 30 Seconds**
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```javascript
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import { Brainy, NounType } from '@soulcraft/brainy'
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// Just this - auto-detects everything!
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const brain = new Brainy()
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await brain.init()
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// Add entities with automatic embedding
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const jsId = await brain.add({
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data: "JavaScript is a programming language",
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nounType: NounType.Concept,
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metadata: {
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type: "language",
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year: 1995,
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paradigm: "multi-paradigm"
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}
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})
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const nodeId = await brain.add({
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data: "Node.js runtime environment",
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nounType: NounType.Concept,
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metadata: {
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type: "runtime",
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year: 2009,
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platform: "server-side"
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}
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})
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// Create relationships between entities
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await brain.relate({
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from: nodeId,
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to: jsId,
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type: "executes",
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metadata: {
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since: 2009,
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performance: "high"
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}
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})
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// Natural language search with graph relationships
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const results = await brain.find({
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query: "programming languages used by server runtimes"
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})
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// Triple Intelligence: vector + metadata + relationships
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const filtered = await brain.find({
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query: "JavaScript", // Vector similarity
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where: {type: "language"}, // Metadata filtering
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connected: {from: nodeId, depth: 1} // Graph relationships
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})
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```
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**That's it!** You just created a knowledge graph with semantic search, relationship traversal, and metadata filtering. **No configuration. No complexity. Just works.**
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---
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## 🌟 Core Features
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### 🧠 **Natural Language Understanding**
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```javascript
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// Ask questions naturally - Brainy understands
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await brain.find("Show me recent React components with tests")
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await brain.find("Popular JavaScript libraries similar to Vue")
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await brain.find("Documentation about authentication from last month")
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// Structured queries with Triple Intelligence
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await brain.find({
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like: "React", // Vector similarity
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where: { // Document filtering
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type: "library",
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year: {greaterThan: 2020}
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},
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connected: {to: "JavaScript", depth: 2} // Graph relationships
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})
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```
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### 🌐 **Virtual Filesystem - Intelligent File Management**
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Build file explorers, IDEs, and knowledge systems that **never crash**:
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```javascript
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const vfs = brain.vfs()
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await vfs.init()
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// ✅ Safe file operations
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await vfs.writeFile('/projects/app/index.js', 'console.log("Hello")')
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await vfs.mkdir('/docs')
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// ✅ NEVER crashes: Tree-aware directory listing
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const children = await vfs.getDirectChildren('/projects')
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// ✅ Build file explorers safely
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const tree = await vfs.getTreeStructure('/projects', {
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maxDepth: 3, // Prevent deep recursion
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sort: 'name'
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})
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// ✅ Semantic file search
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const reactFiles = await vfs.search('React components with hooks')
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```
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**Prevents infinite recursion** that crashes traditional file systems. Tree-aware operations ensure your file explorer never hangs.
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**[📖 VFS Quick Start →](docs/vfs/QUICK_START.md)** | **[🎯 Common Patterns →](docs/vfs/COMMON_PATTERNS.md)**
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### 🚀 **Import Anything - CSV, Excel, PDF, URLs**
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```javascript
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// Import CSV with auto-detection
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await brain.import('customers.csv')
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// ✨ Auto-detects: encoding, delimiter, types, creates entities!
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// Import Excel workbooks with multi-sheet support
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await brain.import('sales-data.xlsx', {
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excelSheets: ['Q1', 'Q2']
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})
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// Import PDF documents with table extraction
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await brain.import('research-paper.pdf', {
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pdfExtractTables: true
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})
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// Import from URLs (auto-fetched)
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await brain.import('https://api.example.com/data.json')
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```
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**[📖 Complete Import Guide →](docs/guides/import-anything.md)**
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### 🧠 **Neural API - Advanced Semantic Analysis**
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```javascript
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const neural = brain.neural
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// Automatic semantic clustering
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const clusters = await neural.clusters({
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algorithm: 'kmeans',
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maxClusters: 5,
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threshold: 0.8
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})
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// Calculate similarity between any items
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const similarity = await neural.similar('item1', 'item2')
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// Find nearest neighbors
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const neighbors = await neural.neighbors('item-id', 10)
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// Detect outliers
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const outliers = await neural.outliers(0.3)
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// Generate visualization data for D3/Cytoscape
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const vizData = await neural.visualize({
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maxNodes: 100,
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dimensions: 3,
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algorithm: 'force'
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})
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```
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---
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## 🌐 Framework Integration
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**Brainy is framework-first!** Works with **any** modern framework:
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### ⚛️ React & Next.js
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```javascript
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function SearchComponent() {
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const [brain] = useState(() => new Brainy())
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useEffect(() => { brain.init() }, [])
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const handleSearch = async (query) => {
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const results = await brain.find(query)
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setResults(results)
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}
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}
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```
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### 🟢 Vue.js & Nuxt.js
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```javascript
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export default {
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async mounted() {
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this.brain = new Brainy()
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await this.brain.init()
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},
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methods: {
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async search(query) {
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return await this.brain.find(query)
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}
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}
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}
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```
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### 🅰️ Angular
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```typescript
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@Injectable({ providedIn: 'root' })
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export class BrainyService {
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private brain = new Brainy()
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async search(query: string) {
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return await this.brain.find(query)
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}
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}
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```
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**Works with:** Svelte, Solid.js, Qwik, Fresh, and more! All bundlers (Webpack, Vite, Rollup). SSR/SSG. Edge runtimes.
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---
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## 💾 Storage - From Development to Production
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### 🚀 **Development: Just Works**
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```javascript
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const brain = new Brainy() // Memory storage, auto-configured
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```
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### ⚡ **Production: FileSystem with Compression**
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```javascript
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const brain = new Brainy({
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storage: {
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type: 'filesystem',
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path: './brainy-data',
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compression: true // 60-80% space savings!
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}
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})
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```
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### ☁️ **Production: Cloud Storage** (NEW in v4.0.0)
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Choose your cloud provider - all support **automatic cost optimization:**
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#### **AWS S3 / Cloudflare R2 / DigitalOcean Spaces**
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```javascript
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const brain = new Brainy({
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storage: {
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type: 's3',
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s3Storage: {
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bucketName: 'my-knowledge-base',
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region: 'us-east-1',
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accessKeyId: process.env.AWS_ACCESS_KEY_ID,
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secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY
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}
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}
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})
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// Enable Intelligent-Tiering for automatic 96% cost savings
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await brain.storage.enableIntelligentTiering('entities/', 'brainy-auto-tier')
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```
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#### **Google Cloud Storage**
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```javascript
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const brain = new Brainy({
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storage: {
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type: 'gcs',
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gcsStorage: {
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bucketName: 'my-knowledge-base',
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keyFilename: '/path/to/service-account.json'
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}
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}
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})
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// Enable Autoclass for automatic 94% cost savings
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await brain.storage.enableAutoclass({ terminalStorageClass: 'ARCHIVE' })
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```
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#### **Azure Blob Storage**
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```javascript
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const brain = new Brainy({
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storage: {
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type: 'azure',
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azureStorage: {
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containerName: 'knowledge-base',
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connectionString: process.env.AZURE_STORAGE_CONNECTION_STRING
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}
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}
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})
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// Batch tier changes for 99% cost savings
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await brain.storage.setBlobTierBatch(
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oldBlobs.map(name => ({ blobName: name, tier: 'Archive' }))
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)
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```
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### 💰 **Cost Optimization Impact**
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| Scale | Before | After (Archive) | Savings/Year |
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|-------|--------|-----------------|--------------|
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| 5TB | $1,380/year | $59/year | **$1,321 (96%)** |
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| 50TB | $13,800/year | $594/year | **$13,206 (96%)** |
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| 500TB | $138,000/year | $5,940/year | **$132,060 (96%)** |
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**[📖 AWS S3 Cost Guide →](docs/operations/cost-optimization-aws-s3.md)** | **[GCS →](docs/operations/cost-optimization-gcs.md)** | **[Azure →](docs/operations/cost-optimization-azure.md)** | **[R2 →](docs/operations/cost-optimization-cloudflare-r2.md)**
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---
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## 🚀 Production Scale Features (NEW in v4.0.0)
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### 🎯 **Type-Aware HNSW - 87% Memory Reduction**
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**Billion-scale deployments made affordable:**
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- **Memory @ 1B entities**: 384GB → 50GB (-87%)
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- **Single-type queries**: 10x faster (search 100M instead of 1B)
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- **Multi-type queries**: 5-8x faster
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- **Optimized rebuilds**: 31x faster with type filtering
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```javascript
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const brain = new Brainy({
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hnsw: {
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typeAware: true // Enable type-aware indexing
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}
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})
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```
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### ⚡ **Production-Ready Storage**
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**NEW v4.0.0 enterprise features:**
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- **🗑️ Batch Operations**: Delete thousands of entities with retry logic
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- **📦 Gzip Compression**: 60-80% space savings (FileSystem)
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- **💽 OPFS Quota Monitoring**: Real-time quota tracking (Browser)
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- **🔄 Metadata/Vector Separation**: Billion-entity scalability
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- **🛡️ Enterprise Reliability**: Backpressure, circuit breakers, retries
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```javascript
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// Batch delete with retry logic
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await brain.storage.batchDelete(keys, {
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maxRetries: 3,
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continueOnError: true
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})
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// Get storage status
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const status = await brain.storage.getStorageStatus()
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console.log(`Used: ${status.used}, Quota: ${status.quota}`)
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```
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### 📊 **Adaptive Memory Management**
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**Auto-scales from 2GB to 128GB+ based on resources:**
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- Container-aware (Docker/K8s cgroups v1/v2)
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- Environment-smart (25% dev, 40% container, 50% production)
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- Model memory accounting (150MB Q8, 250MB FP32)
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- Built-in cache monitoring with recommendations
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```javascript
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// Get cache statistics and recommendations
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const stats = brain.getCacheStats()
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console.log(`Hit rate: ${stats.hitRate * 100}%`)
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// Actionable tuning recommendations included
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```
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**[📖 Capacity Planning Guide →](docs/operations/capacity-planning.md)**
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---
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## 🏢 Enterprise Features - No Paywalls
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Brainy includes **enterprise-grade capabilities at no extra cost**:
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- ✅ **Scales to billions of entities** with 18ms search latency @ 1B scale
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- ✅ **Distributed architecture** with sharding and replication
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- ✅ **Read/write separation** for horizontal scaling
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- ✅ **Connection pooling** and request deduplication
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- ✅ **Built-in monitoring** with metrics and health checks
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- ✅ **Production ready** with circuit breakers and backpressure
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**No premium tiers. No feature gates. Everyone gets the same powerful system.**
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---
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## 📊 Benchmarks
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| Operation | Performance | Memory |
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|----------------------------------|-------------|----------|
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| Initialize | 450ms | 24MB |
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| Add Item | 12ms | +0.1MB |
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| Vector Search (1k items) | 3ms | - |
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| Metadata Filter (10k items) | 0.8ms | - |
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| Natural Language Query | 15ms | - |
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| Bulk Import (1000 items) | 2.3s | +8MB |
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| **Production Scale (10M items)** | **5.8ms** | **12GB** |
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| **Billion Scale (1B items)** | **18ms** | **50GB** |
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---
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## 🎯 Use Cases
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|
||
### Knowledge Management
|
||
```javascript
|
||
// Create knowledge graph with relationships
|
||
const apiGuide = await brain.add("REST API Guide", {
|
||
nounType: NounType.Document,
|
||
category: "documentation"
|
||
})
|
||
|
||
const author = await brain.add("Jane Developer", {
|
||
nounType: NounType.Person,
|
||
role: "tech-lead"
|
||
})
|
||
|
||
await brain.relate(author, apiGuide, "authored")
|
||
|
||
// Query naturally
|
||
const docs = await brain.find(
|
||
"documentation authored by tech leads for active projects"
|
||
)
|
||
```
|
||
|
||
### AI Memory Layer
|
||
```javascript
|
||
// Store conversation context with relationships
|
||
const userId = await brain.add("User 123", {
|
||
nounType: NounType.User,
|
||
tier: "premium"
|
||
})
|
||
|
||
const messageId = await brain.add(userMessage, {
|
||
nounType: NounType.Message,
|
||
timestamp: Date.now()
|
||
})
|
||
|
||
await brain.relate(userId, messageId, "sent")
|
||
|
||
// Retrieve context
|
||
const context = await brain.find({
|
||
where: {type: "message"},
|
||
connected: {from: userId, type: "sent"},
|
||
like: "previous product issues"
|
||
})
|
||
```
|
||
|
||
### Semantic Search
|
||
```javascript
|
||
// Find similar content
|
||
const similar = await brain.search(existingContent, {
|
||
limit: 5,
|
||
threshold: 0.8
|
||
})
|
||
```
|
||
|
||
---
|
||
|
||
## 🛠️ CLI
|
||
|
||
```bash
|
||
npm install -g brainy
|
||
|
||
# Add data
|
||
brainy add "JavaScript is awesome" --metadata '{"type":"opinion"}'
|
||
|
||
# Search
|
||
brainy search "programming"
|
||
|
||
# Natural language find
|
||
brainy find "awesome programming languages"
|
||
|
||
# Interactive mode
|
||
brainy chat
|
||
```
|
||
|
||
---
|
||
|
||
## 📖 Documentation
|
||
|
||
### Getting Started
|
||
- [Getting Started Guide](docs/guides/getting-started.md)
|
||
- [v4.0.0 Migration Guide](docs/MIGRATION-V3-TO-V4.md) **← NEW**
|
||
- [AWS S3 Cost Guide](docs/operations/cost-optimization-aws-s3.md) | [GCS](docs/operations/cost-optimization-gcs.md) | [Azure](docs/operations/cost-optimization-azure.md) | [R2](docs/operations/cost-optimization-cloudflare-r2.md) **← NEW**
|
||
|
||
### Framework Integration
|
||
- [Framework Integration Guide](docs/guides/framework-integration.md)
|
||
- [Next.js Integration](docs/guides/nextjs-integration.md)
|
||
- [Vue.js Integration](docs/guides/vue-integration.md)
|
||
|
||
### Virtual Filesystem
|
||
- [VFS Core Documentation](docs/vfs/VFS_CORE.md)
|
||
- [Semantic VFS Guide](docs/vfs/SEMANTIC_VFS.md)
|
||
- [Neural Extraction API](docs/vfs/NEURAL_EXTRACTION.md)
|
||
|
||
### Core Documentation
|
||
- [API Reference](docs/api/README.md)
|
||
- [Architecture Overview](docs/architecture/overview.md)
|
||
- [Data Storage Architecture](docs/architecture/data-storage-architecture.md)
|
||
- [Natural Language Guide](docs/guides/natural-language.md)
|
||
- [Triple Intelligence](docs/architecture/triple-intelligence.md)
|
||
- [Noun-Verb Taxonomy](docs/architecture/noun-verb-taxonomy.md)
|
||
|
||
### Operations & Production
|
||
- [Capacity Planning](docs/operations/capacity-planning.md)
|
||
- [Cloud Deployment Guide](docs/deployment/CLOUD_DEPLOYMENT_GUIDE.md) **← NEW**
|
||
- [AWS S3 Cost Guide](docs/operations/cost-optimization-aws-s3.md) | [GCS](docs/operations/cost-optimization-gcs.md) | [Azure](docs/operations/cost-optimization-azure.md) | [R2](docs/operations/cost-optimization-cloudflare-r2.md) **← NEW**
|
||
|
||
---
|
||
|
||
## 💖 Support Brainy
|
||
|
||
Brainy is **free and open source** - no paywalls, no premium tiers, no feature gates. If Brainy helps your project, consider supporting development:
|
||
|
||
- ⭐ **Star us on [GitHub](https://github.com/soulcraftlabs/brainy)**
|
||
- 💝 **Sponsor via [GitHub Sponsors](https://github.com/sponsors/soulcraftlabs)**
|
||
- 🐛 **Report issues** and contribute code
|
||
- 📣 **Share** with your team and community
|
||
|
||
Your support keeps Brainy free for everyone and enables continued development of enterprise features at no cost.
|
||
|
||
---
|
||
|
||
## 📋 System Requirements
|
||
|
||
**Node.js Version:** 22 LTS (recommended)
|
||
|
||
- ✅ **Node.js 22 LTS** - Fully supported (recommended for production)
|
||
- ✅ **Node.js 20 LTS** - Compatible (maintenance mode)
|
||
- ❌ **Node.js 24** - Not supported (ONNX compatibility issues)
|
||
|
||
If using nvm: `nvm use` (we provide a `.nvmrc` file)
|
||
|
||
---
|
||
|
||
## 🧠 The Knowledge Operating System Explained
|
||
|
||
### How We Achieved The Impossible
|
||
|
||
**Triple Intelligence™** unifies three database paradigms that were previously incompatible:
|
||
|
||
1. **Vector databases** (Pinecone, Weaviate) - semantic similarity
|
||
2. **Graph databases** (Neo4j, ArangoDB) - relationships
|
||
3. **Document databases** (MongoDB, Elasticsearch) - metadata filtering
|
||
|
||
**Others make you choose. Brainy does all three together.**
|
||
|
||
### The Math of Infinite Expressiveness
|
||
|
||
```
|
||
31 Nouns × 40 Verbs × ∞ Metadata × Triple Intelligence = Universal Protocol
|
||
```
|
||
|
||
- **1,240 base combinations** from standardized types
|
||
- **∞ domain specificity** via unlimited metadata
|
||
- **∞ relationship depth** via graph traversal
|
||
- **= Model ANYTHING**: From quantum physics to social networks
|
||
|
||
### Why This Changes Everything
|
||
|
||
**Like HTTP for the web, Brainy for knowledge:**
|
||
|
||
- All augmentations compose perfectly - same noun-verb language
|
||
- All AI models share knowledge - GPT, Claude, Llama all understand
|
||
- All tools integrate seamlessly - no translation layers
|
||
- All data flows freely - perfect portability
|
||
|
||
**The Vision**: One protocol. All knowledge. Every tool. Any AI.
|
||
|
||
**Proven across industries**: Healthcare, Finance, Manufacturing, Education, Legal, Retail, Government, and beyond.
|
||
|
||
[→ See the Mathematical Proof & Full Taxonomy](docs/architecture/noun-verb-taxonomy.md)
|
||
|
||
---
|
||
|
||
## 🏢 Enterprise & Cloud
|
||
|
||
**Brain Cloud** - Managed Brainy with team sync, persistent memory, and enterprise connectors.
|
||
|
||
```bash
|
||
brainy cloud setup
|
||
```
|
||
|
||
Visit [soulcraft.com](https://soulcraft.com) for more information.
|
||
|
||
---
|
||
|
||
## 🤝 Contributing
|
||
|
||
We welcome contributions! See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.
|
||
|
||
---
|
||
|
||
## 📄 License
|
||
|
||
MIT © Brainy Contributors
|
||
|
||
---
|
||
|
||
<p align="center">
|
||
<strong>Built with ❤️ by the Brainy community</strong><br>
|
||
<em>Zero-Configuration AI Database with Triple Intelligence™</em><br>
|
||
<em>v4.0.0 - Production-Scale Storage with 99% Cost Savings</em>
|
||
</p>
|