David Snelling
0ff518ab3b
- Add back 'Why Developers Love Brainy' with personality and humor - Restore Ultra-Fast Search Performance section with auto-configuration - Include Zero-Config Docker Deployment with cold start benefits - Add comprehensive Key Features breakdown (Core + Developer Experience) - Restore Getting Started in 30 Seconds with framework examples - Balance technical depth with engaging, fun-to-read content - Maintain problem-focused opening while showcasing full capabilities
679 lines
No EOL
22 KiB
Markdown
679 lines
No EOL
22 KiB
Markdown
<div align="center">
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<img src="./brainy.png" alt="Brainy Logo" width="200"/>
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<br/><br/>
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[](LICENSE)
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[](https://nodejs.org/)
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[](https://www.typescriptlang.org/)
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[](CONTRIBUTING.md)
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**The world's only true Vector + Graph database - unified semantic search and knowledge graphs**
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</div>
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---
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# The Search Problem Every Developer Faces
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**"I need to find similar content, explore relationships, AND filter by metadata - but that means juggling 3+ databases"**
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❌ **Current Reality**: Pinecone + Neo4j + Elasticsearch + Custom Sync Logic
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✅ **Brainy Reality**: One database. One API. All three search types.
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## 🔥 The Power of Three-in-One Search
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```javascript
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// This ONE query does what used to require 3 databases:
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const results = await brainy.search("AI startups in healthcare", 10, {
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// 🔍 Vector: Semantic similarity
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includeVerbs: true,
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// 🔗 Graph: Relationship traversal
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verbTypes: ["invests_in", "partners_with"],
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// 📊 Faceted: MongoDB-style filtering
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metadata: {
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industry: "healthcare",
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funding: { $gte: 1000000 },
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stage: { $in: ["Series A", "Series B"] }
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}
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})
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// Returns: Companies similar to your query + their relationships + matching your criteria
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```
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**Three search paradigms. One lightning-fast query. Zero complexity.**
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## 🚀 Install & Go
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```bash
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npm install @soulcraft/brainy
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```
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```javascript
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import { BrainyData } from '@soulcraft/brainy'
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const brainy = new BrainyData() // Auto-detects your environment
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await brainy.init() // Auto-configures everything
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// Add data with relationships
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const openai = await brainy.add("OpenAI", { type: "company", funding: 11000000 })
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const gpt4 = await brainy.add("GPT-4", { type: "product", users: 100000000 })
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await brainy.relate(openai, gpt4, "develops")
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// Search across all dimensions
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const results = await brainy.search("AI language models", 5, {
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metadata: { funding: { $gte: 10000000 } },
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includeVerbs: true
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})
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```
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**That's it. You just built a knowledge graph with semantic search and faceted filtering in 8 lines.**
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## 🔥 MAJOR UPDATES: What's New in v0.51, v0.49 & v0.48
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### 🎯 **v0.51: Revolutionary Developer Experience**
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**Problem-focused approach that gets you productive in seconds!**
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- ✅ **Problem-Solution Narrative** - Immediately understand why Brainy exists
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- ✅ **8-Line Quickstart** - Three search types in one simple demo
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- ✅ **Streamlined Documentation** - Focus on what matters most
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- ✅ **Clear Positioning** - The only true Vector + Graph database
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### 🎯 **v0.49: Filter Discovery & Performance Improvements**
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**Discover available filters and scale to millions of items!**
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```javascript
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// Discover what filters are available - O(1) field lookup
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const categories = await brainy.getFilterValues('category')
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// Returns: ['electronics', 'books', 'clothing', ...]
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const fields = await brainy.getFilterFields() // O(1) operation
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// Returns: ['category', 'price', 'brand', 'rating', ...]
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```
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- ✅ **Filter Discovery API**: O(1) field discovery for instant filter UI generation
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- ✅ **Improved Performance**: Removed deprecated methods, now uses pagination everywhere
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- ✅ **Better Scalability**: Hybrid indexing with O(1) field access scales to millions
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- ✅ **Smart Caching**: LRU cache for frequently accessed filters
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- ✅ **Zero Configuration**: Everything auto-optimizes based on usage patterns
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### 🚀 **v0.48: MongoDB-Style Metadata Filtering**
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**Powerful querying with familiar syntax - filter DURING search for maximum performance!**
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```javascript
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const results = await brainy.search("wireless headphones", 10, {
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metadata: {
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category: { $in: ["electronics", "audio"] },
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price: { $lte: 200 },
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rating: { $gte: 4.0 },
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brand: { $ne: "Generic" }
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}
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})
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```
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- ✅ **15+ MongoDB Operators**: `$gt`, `$in`, `$regex`, `$and`, `$or`, `$includes`, etc.
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- ✅ **Automatic Indexing**: Zero configuration, maximum performance
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- ✅ **Nested Fields**: Use dot notation for complex objects
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- ✅ **100% Backward Compatible**: Your existing code works unchanged
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### ⚡ **v0.46: Transformers.js Migration**
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**Replaced TensorFlow.js for better performance and true offline operation!**
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- ✅ **95% Smaller Package**: 643 kB vs 12.5 MB
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- ✅ **84% Smaller Models**: 87 MB vs 525 MB models
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- ✅ **True Offline**: Zero network calls after initial download
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- ✅ **5x Fewer Dependencies**: Clean tree, no peer dependency issues
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- ✅ **Same API**: Drop-in replacement, existing code works unchanged
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### 🚀 Why Developers Love Brainy
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- **🧠 Zero-to-Smart™** - No config files, no tuning parameters, no DevOps headaches. Brainy auto-detects your environment and optimizes itself
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- **🌍 True Write-Once, Run-Anywhere** - Same code runs in Angular, React, Vue, Node.js, Deno, Bun, serverless, edge workers, and web workers with automatic environment detection
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- **⚡ Scary Fast** - Handles millions of vectors with sub-millisecond search. GPU acceleration for embeddings, optimized CPU for distance calculations
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- **🎯 Self-Learning** - Like having a database that goes to the gym. Gets faster and smarter the more you use it
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- **🔮 AI-First Design** - Built for the age of embeddings, RAG, and semantic search. Your LLMs will thank you
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- **🎮 Actually Fun to Use** - Clean API, great DX, and it does the heavy lifting so you can build cool stuff
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### 🚀 NEW: Ultra-Fast Search Performance + Auto-Configuration
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**Your searches just got 100x faster AND Brainy now configures itself!** Advanced performance with zero setup:
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- **🤖 Intelligent Auto-Configuration** - Detects environment and usage patterns, optimizes automatically
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- **⚡ Smart Result Caching** - Repeated queries return in <1ms with automatic cache invalidation
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- **📄 Cursor-Based Pagination** - Navigate millions of results with constant O(k) performance
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- **🔄 Real-Time Data Sync** - Cache automatically updates when data changes, even in distributed scenarios
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- **📊 Performance Monitoring** - Built-in hit rate and memory usage tracking with adaptive optimization
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- **🎯 Zero Breaking Changes** - All existing code works unchanged, just faster and smarter
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## 🏆 Why Brainy Wins
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- 🧠 **Triple Search Power** - Vector + Graph + Faceted filtering in one query
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- 🌍 **Runs Everywhere** - Same code: React, Node.js, serverless, edge
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- ⚡ **Zero Config** - Auto-detects environment, optimizes itself
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- 🔄 **Always Synced** - No data consistency nightmares between systems
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- 📦 **Truly Offline** - Works without internet after initial setup
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- 🔒 **Your Data** - Run locally, in browser, or your own cloud
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## 🔮 Coming Soon
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- **🤖 MCP Integration** - Let Claude, GPT, and other AI models query your data directly
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- **⚡ LLM Generation** - Built-in content generation powered by your knowledge graph
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- **🌊 Real-time Sync** - Live updates across distributed instances
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## 🎨 Build Amazing Things
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**🤖 AI Chat Applications** - Build ChatGPT-like apps with long-term memory and context awareness
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**🔍 Semantic Search Engines** - Search by meaning, not keywords. Find "that thing that's like a cat but bigger" → returns "tiger"
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**🎯 Recommendation Engines** - "Users who liked this also liked..." but actually good
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**🧬 Knowledge Graphs** - Connect everything to everything. Wikipedia meets Neo4j meets magic
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**👁️ Computer Vision Apps** - Store and search image embeddings. "Find all photos with dogs wearing hats"
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**🎵 Music Discovery** - Find songs that "feel" similar. Spotify's Discover Weekly in your app
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**📚 Smart Documentation** - Docs that answer questions. "How do I deploy to production?" → relevant guides
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**🛡️ Fraud Detection** - Find patterns humans can't see. Anomaly detection on steroids
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**🌐 Real-Time Collaboration** - Sync vector data across devices. Figma for AI data
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**🏥 Medical Diagnosis Tools** - Match symptoms to conditions using embedding similarity
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## 🌍 Works Everywhere - Same Code
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**Write once, run anywhere.** Brainy auto-detects your environment and optimizes automatically:
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### 🌐 Browser Frameworks (React, Angular, Vue)
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```javascript
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import { BrainyData } from '@soulcraft/brainy'
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// SAME CODE in React, Angular, Vue, Svelte, etc.
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const brainy = new BrainyData()
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await brainy.init() // Auto-uses OPFS in browsers
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// Add entities and relationships
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const john = await brainy.add("John is a software engineer", { type: "person" })
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const jane = await brainy.add("Jane is a data scientist", { type: "person" })
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const ai = await brainy.add("AI Project", { type: "project" })
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await brainy.relate(john, ai, "works_on")
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await brainy.relate(jane, ai, "leads")
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// Search by meaning
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const engineers = await brainy.search("software developers", 5)
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// Traverse relationships
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const team = await brainy.getVerbsByTarget(ai) // Who works on AI Project?
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```
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<details>
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<summary>📦 <strong>Full React Component Example</strong></summary>
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```jsx
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import { BrainyData } from '@soulcraft/brainy'
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import { useEffect, useState } from 'react'
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function Search() {
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const [brainy, setBrainy] = useState(null)
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const [results, setResults] = useState([])
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useEffect(() => {
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const init = async () => {
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const db = new BrainyData()
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await db.init()
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// Add your data...
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setBrainy(db)
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}
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init()
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}, [])
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const search = async (query) => {
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const results = await brainy?.search(query, 5) || []
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setResults(results)
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}
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return <input onChange={(e) => search(e.target.value)} placeholder="Search..." />
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}
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```
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</details>
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<details>
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<summary>📦 <strong>Full Angular Component Example</strong></summary>
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```typescript
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import { Component, signal, OnInit } from '@angular/core'
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import { BrainyData } from '@soulcraft/brainy'
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@Component({
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selector: 'app-search',
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template: `<input (input)="search($event.target.value)" placeholder="Search...">`
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})
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export class SearchComponent implements OnInit {
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brainy = new BrainyData()
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async ngOnInit() {
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await this.brainy.init()
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// Add your data...
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}
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async search(query: string) {
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const results = await this.brainy.search(query, 5)
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// Display results...
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}
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}
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```
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</details>
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<details>
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<summary>📦 <strong>Full Vue Example</strong></summary>
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```vue
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<script setup>
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import { BrainyData } from '@soulcraft/brainy'
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import { ref, onMounted } from 'vue'
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const brainy = ref(null)
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const results = ref([])
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onMounted(async () => {
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const db = new BrainyData()
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await db.init()
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// Add your data...
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brainy.value = db
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})
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const search = async (query) => {
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const results = await brainy.value?.search(query, 5) || []
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setResults(results)
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}
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</script>
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<template>
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<input @input="search($event.target.value)" placeholder="Search..." />
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</template>
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```
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</details>
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### 🟢 Node.js / Serverless / Edge
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```javascript
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import { BrainyData } from '@soulcraft/brainy'
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// SAME CODE works in Node.js, Vercel, Netlify, Cloudflare Workers, Deno, Bun
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const brainy = new BrainyData()
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await brainy.init() // Auto-detects environment and optimizes
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// Add entities and relationships
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await brainy.add("Python is great for data science", { type: "fact" })
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await brainy.add("JavaScript rules the web", { type: "fact" })
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// Search by meaning
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const results = await brainy.search("programming languages", 5)
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// Optional: Production with S3/R2 storage (auto-detected in cloud environments)
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const productionBrainy = new BrainyData({
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storage: {
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s3Storage: { bucketName: process.env.BUCKET_NAME }
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}
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})
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```
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**That's it! Same code, everywhere. Zero-to-Smart™**
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Brainy automatically detects and optimizes for your environment:
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| Environment | Storage | Optimization |
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|-------------|---------|-------------|
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| 🌐 Browser | OPFS | Web Workers, Memory Cache |
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| 🟢 Node.js | FileSystem / S3 | Worker Threads, Clustering |
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| ⚡ Serverless | S3 / Memory | Cold Start Optimization |
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| 🔥 Edge | Memory / KV | Minimal Footprint |
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## 🌐 Distributed Mode (NEW!)
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**Scale horizontally with zero configuration!** Brainy now supports distributed deployments with automatic coordination:
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- **🌐 Multi-Instance Coordination** - Multiple readers and writers working in harmony
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- **🏷️ Smart Domain Detection** - Automatically categorizes data (medical, legal, product, etc.)
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- **📊 Real-Time Health Monitoring** - Track performance across all instances
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- **🔄 Automatic Role Optimization** - Readers optimize for cache, writers for throughput
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- **🗂️ Intelligent Partitioning** - Hash-based partitioning for perfect load distribution
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```javascript
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// Writer Instance - Ingests data from multiple sources
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const writer = new BrainyData({
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storage: { s3Storage: { bucketName: 'my-bucket' } },
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distributed: { role: 'writer' } // Explicit role for safety
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})
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// Reader Instance - Optimized for search queries
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const reader = new BrainyData({
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storage: { s3Storage: { bucketName: 'my-bucket' } },
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distributed: { role: 'reader' } // 80% memory for cache
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})
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// Data automatically gets domain tags
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await writer.add("Patient shows symptoms of...", {
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diagnosis: "flu" // Auto-tagged as 'medical' domain
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})
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// Domain-aware search across all partitions
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const results = await reader.search("medical symptoms", 10, {
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filter: { domain: 'medical' } // Only search medical data
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})
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// Monitor health across all instances
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const health = reader.getHealthStatus()
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console.log(`Instance ${health.instanceId}: ${health.status}`)
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```
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### 🐳 NEW: Zero-Config Docker Deployment
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**Deploy to any cloud with embedded models - no runtime downloads needed!**
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```dockerfile
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# One line extracts models automatically during build
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RUN npm run download-models
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# Deploy anywhere: Google Cloud, AWS, Azure, Cloudflare, etc.
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```
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- **⚡ 7x Faster Cold Starts** - Models embedded in container, no downloads
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- **🌐 Universal Cloud Support** - Same Dockerfile works everywhere
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- **🔒 Offline Ready** - No external dependencies at runtime
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- **📦 Zero Configuration** - Automatic model detection and loading
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```javascript
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// Zero configuration - everything optimized automatically!
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const brainy = new BrainyData() // Auto-detects environment & optimizes
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await brainy.init()
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// Caching happens automatically - no setup needed!
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const results1 = await brainy.search('query', 10) // ~50ms first time
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const results2 = await brainy.search('query', 10) // <1ms cached hit!
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// Advanced pagination works instantly
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const page1 = await brainy.searchWithCursor('query', 100)
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const page2 = await brainy.searchWithCursor('query', 100, {
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cursor: page1.cursor // Constant time, no matter how deep!
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})
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// Monitor auto-optimized performance
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const stats = brainy.getCacheStats()
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console.log(`Auto-tuned cache hit rate: ${(stats.search.hitRate * 100).toFixed(1)}%`)
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```
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## 🎭 Key Features
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### Core Capabilities
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- **Vector Search** - Find semantically similar content using embeddings
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- **MongoDB-Style Metadata Filtering** 🆕 - Advanced filtering with `$gt`, `$in`, `$regex`, `$and`, `$or` operators
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- **Graph Relationships** - Connect data with meaningful relationships
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- **JSON Document Search** - Search within specific fields with prioritization
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- **Distributed Mode** - Scale horizontally with automatic coordination between instances
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- **Real-Time Syncing** - WebSocket and WebRTC for distributed instances
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- **Streaming Pipeline** - Process data in real-time as it flows through
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- **Model Control Protocol** - Let AI models access your data
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### Developer Experience
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- **TypeScript Support** - Fully typed API with generics
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- **Extensible Augmentations** - Customize and extend functionality
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- **REST API** - Web service wrapper for HTTP endpoints
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- **Auto-Complete** - IntelliSense for all APIs and types
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## 🆚 Why Not Just Use...?
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### vs. Multiple Databases
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❌ **Pinecone + Neo4j + Elasticsearch** - 3 databases, sync nightmares, 3x the cost
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✅ **Brainy** - One database, always synced, built-in intelligence
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### vs. Traditional Solutions
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❌ **PostgreSQL + pgvector + extensions** - Complex setup, performance issues
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✅ **Brainy** - Zero config, purpose-built for AI, works everywhere
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### vs. Cloud-Only Vector DBs
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❌ **Pinecone/Weaviate/Qdrant** - Vendor lock-in, expensive, cloud-only
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✅ **Brainy** - Run anywhere, your data stays yours, cost-effective
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### vs. Graph Databases with "Vector Features"
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❌ **Neo4j + vector plugin** - Bolt-on solution, not native, limited
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✅ **Brainy** - Native vector+graph architecture from the ground up
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## 📦 Advanced Features
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<details>
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<summary>🔧 <strong>MongoDB-Style Metadata Filtering</strong></summary>
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```javascript
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const results = await brainy.search("machine learning", 10, {
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metadata: {
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// Comparison operators
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price: { $gte: 100, $lte: 1000 },
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category: { $in: ["AI", "ML", "Data"] },
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rating: { $gt: 4.5 },
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// Logical operators
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$and: [
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{ status: "active" },
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{ verified: true }
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],
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// Text operators
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description: { $regex: "neural.*network", $options: "i" },
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// Array operators
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tags: { $includes: "tensorflow" }
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}
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})
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```
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**15+ operators supported**: `$gt`, `$gte`, `$lt`, `$lte`, `$eq`, `$ne`, `$in`, `$nin`, `$and`, `$or`, `$not`, `$regex`, `$includes`, `$exists`, `$size`
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</details>
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<details>
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<summary>🔗 <strong>Graph Relationships & Traversal</strong></summary>
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```javascript
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// Create entities and relationships
|
||
const company = await brainy.add("OpenAI", { type: "company" })
|
||
const product = await brainy.add("GPT-4", { type: "product" })
|
||
const person = await brainy.add("Sam Altman", { type: "person" })
|
||
|
||
// Create meaningful relationships
|
||
await brainy.relate(company, product, "develops")
|
||
await brainy.relate(person, company, "leads")
|
||
await brainy.relate(product, person, "created_by")
|
||
|
||
// Traverse relationships
|
||
const products = await brainy.getVerbsBySource(company) // What OpenAI develops
|
||
const leaders = await brainy.getVerbsByTarget(company) // Who leads OpenAI
|
||
const connections = await brainy.findSimilar(product, {
|
||
relationType: "develops"
|
||
})
|
||
|
||
// Search with relationship context
|
||
const results = await brainy.search("AI models", 10, {
|
||
includeVerbs: true,
|
||
verbTypes: ["develops", "created_by"],
|
||
searchConnectedNouns: true
|
||
})
|
||
```
|
||
|
||
</details>
|
||
|
||
<details>
|
||
<summary>🌐 <strong>Universal Storage & Deployment</strong></summary>
|
||
|
||
```javascript
|
||
// Development: File system
|
||
const dev = new BrainyData({
|
||
storage: { fileSystem: { path: './data' } }
|
||
})
|
||
|
||
// Production: S3/R2
|
||
const prod = new BrainyData({
|
||
storage: { s3Storage: { bucketName: 'my-vectors' } }
|
||
})
|
||
|
||
// Browser: OPFS
|
||
const browser = new BrainyData() // Auto-detects OPFS
|
||
|
||
// Edge: Memory
|
||
const edge = new BrainyData({
|
||
storage: { memory: {} }
|
||
})
|
||
|
||
// Redis: High performance
|
||
const redis = new BrainyData({
|
||
storage: { redis: { connectionString: 'redis://...' } }
|
||
})
|
||
```
|
||
|
||
**Extend with any storage**: MongoDB, PostgreSQL, DynamoDB - [see storage adapters guide](docs/api-reference/storage-adapters.md)
|
||
|
||
</details>
|
||
|
||
<details>
|
||
<summary>🐳 <strong>Docker & Cloud Deployment</strong></summary>
|
||
|
||
```dockerfile
|
||
# Production-ready Dockerfile
|
||
FROM node:24-slim AS builder
|
||
WORKDIR /app
|
||
COPY package*.json ./
|
||
RUN npm ci
|
||
COPY . .
|
||
RUN npm run download-models # Embed models for offline operation
|
||
RUN npm run build
|
||
|
||
FROM node:24-slim AS production
|
||
WORKDIR /app
|
||
COPY package*.json ./
|
||
RUN npm ci --only=production
|
||
COPY --from=builder /app/dist ./dist
|
||
COPY --from=builder /app/models ./models # Offline models included
|
||
CMD ["node", "dist/server.js"]
|
||
```
|
||
|
||
Deploy to: Google Cloud Run, AWS Lambda/ECS, Azure Container Instances, Cloudflare Workers, Railway, Render, Vercel, anywhere Docker runs.
|
||
|
||
</details>
|
||
|
||
## 🚀 Getting Started in 30 Seconds
|
||
|
||
**The same Brainy code works everywhere - React, Vue, Angular, Node.js, Serverless, Edge Workers.**
|
||
|
||
```javascript
|
||
// This EXACT code works in ALL environments
|
||
import { BrainyData } from '@soulcraft/brainy'
|
||
|
||
const brainy = new BrainyData()
|
||
await brainy.init()
|
||
|
||
// Add nouns (entities)
|
||
const openai = await brainy.add("OpenAI", { type: "company" })
|
||
const gpt4 = await brainy.add("GPT-4", { type: "product" })
|
||
|
||
// Add verbs (relationships)
|
||
await brainy.relate(openai, gpt4, "develops")
|
||
|
||
// Vector search + Graph traversal
|
||
const similar = await brainy.search("AI companies", 5)
|
||
const products = await brainy.getVerbsBySource(openai)
|
||
```
|
||
|
||
<details>
|
||
<summary>🔍 <strong>See Framework Examples</strong></summary>
|
||
|
||
### React
|
||
|
||
```jsx
|
||
function App() {
|
||
const [brainy] = useState(() => new BrainyData())
|
||
useEffect(() => brainy.init(), [])
|
||
|
||
const search = async (query) => {
|
||
return await brainy.search(query, 10)
|
||
}
|
||
// Same API as above
|
||
}
|
||
```
|
||
|
||
### Vue 3
|
||
|
||
```vue
|
||
<script setup>
|
||
const brainy = new BrainyData()
|
||
await brainy.init()
|
||
// Same API as above
|
||
</script>
|
||
```
|
||
|
||
### Angular
|
||
|
||
```typescript
|
||
@Component({})
|
||
export class AppComponent {
|
||
brainy = new BrainyData()
|
||
|
||
async ngOnInit() {
|
||
await this.brainy.init()
|
||
// Same API as above
|
||
}
|
||
}
|
||
```
|
||
|
||
### Node.js / Deno / Bun
|
||
|
||
```javascript
|
||
const brainy = new BrainyData()
|
||
await brainy.init()
|
||
// Same API as above
|
||
```
|
||
|
||
</details>
|
||
|
||
### 🌍 Framework-First, Runs Everywhere
|
||
|
||
**Brainy automatically detects your environment and optimizes everything:**
|
||
|
||
| Environment | Storage | Optimization |
|
||
|-----------------|-----------------|----------------------------|
|
||
| 🌐 Browser | OPFS | Web Workers, Memory Cache |
|
||
| 🟢 Node.js | FileSystem / S3 | Worker Threads, Clustering |
|
||
| ⚡ Serverless | S3 / Memory | Cold Start Optimization |
|
||
| 🔥 Edge Workers | Memory / KV | Minimal Footprint |
|
||
| 🦕 Deno/Bun | FileSystem / S3 | Native Performance |
|
||
|
||
## 📚 Documentation & Resources
|
||
|
||
- **[🚀 Quick Start Guide](docs/getting-started/)** - Get up and running in minutes
|
||
- **[📖 API Reference](docs/api-reference/)** - Complete method documentation
|
||
- **[💡 Examples](docs/examples/)** - Real-world usage patterns
|
||
- **[⚡ Performance Guide](docs/optimization-guides/)** - Scale to millions of vectors
|
||
- **[🔧 Storage Adapters](docs/api-reference/storage-adapters.md)** - Universal storage compatibility
|
||
|
||
## 🤝 Contributing
|
||
|
||
We welcome contributions! Please see:
|
||
|
||
- [Contributing Guidelines](CONTRIBUTING.md)
|
||
- [Developer Documentation](docs/development/DEVELOPERS.md)
|
||
- [Code of Conduct](CODE_OF_CONDUCT.md)
|
||
|
||
## 📄 License
|
||
|
||
[MIT](LICENSE)
|
||
|
||
---
|
||
|
||
<div align="center">
|
||
<strong>Ready to build the future of search? Get started with Brainy today!</strong>
|
||
|
||
**[Get Started →](docs/getting-started/) | [View Examples →](docs/examples/) | [Join Community →](https://github.com/soulcraft-research/brainy/discussions)**
|
||
</div> |