diff --git a/examples/demo.html b/examples/demo.html index a869920a..23bf8c24 100644 --- a/examples/demo.html +++ b/examples/demo.html @@ -4,7 +4,7 @@ Brainy Interactive Demo - A Lightweight Graph & Vector Data Platform - + @@ -583,6 +702,49 @@

☁️ Cloud Ready

Easy deployment to Google, AWS, Azure, and other cloud platforms

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🎮 Model Control Protocol (MCP)

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Allow external AI models to access Brainy data and use augmentation pipeline as tools

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📊 What Can You Build?

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🔍 Semantic Search Engines

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Find content based on meaning, not just keywords

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👍 Recommendation Systems

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Suggest similar items based on vector similarity

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🧠 Knowledge Graphs

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Build connected data structures with relationships

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🤖 AI Applications

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Store and retrieve embeddings for machine learning models

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💡 AI-Enhanced Applications

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Build applications that leverage vector embeddings for intelligent data processing

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📁 Data Organization Tools

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Automatically categorize and connect related information

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🔄 Adaptive Experiences

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Create applications that learn and evolve with your users

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🔌 Model-Integrated Systems

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Connect external AI models to Brainy data and tools using MCP

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Node.js Environment

-import {BrainyData, NounType, VerbType} from '@soulcraft/brainy'
+import { BrainyData, NounType, VerbType } from '@soulcraft/brainy'
 
 // Create and initialize the database
 const db = new BrainyData()
@@ -626,12 +788,12 @@ await db.addVerb(catId, dogId, {
 
       

         
Browser Environment

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You can import the browser-optimized version in two ways:

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Brainy uses a unified build that automatically adapts to your environment:

 
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Option 1: Using the browser-specific import

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Option 1: Standard Import

         
-// Import the browser-optimized version
-import {BrainyData, NounType, VerbType} from '@soulcraft/brainy/browser'
+// Standard import - automatically adapts to any environment
+import { BrainyData, NounType, VerbType } from '@soulcraft/brainy'
 
 // Use the same API as in Node.js
 const db = new BrainyData()
@@ -642,40 +804,39 @@ await db.init()
         
Option 2: Using a script tag in HTML

         
 <script type="module">
-  // Import Brainy library directly as a module
-  import {BrainyData, NounType, VerbType} from '../node_modules/@soulcraft/brainy/dist/brainy.js'
+  // Use the CDN to load the unified build
+  import { BrainyData, NounType, VerbType } from 'https://cdn.jsdelivr.net/npm/@soulcraft/brainy/dist/unified.js'
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+  // Or minified version
+  // import { BrainyData, NounType, VerbType } from 'https://cdn.jsdelivr.net/npm/@soulcraft/brainy/dist/unified.min.js'
 
-  // Use the same API as in Node.js
   const db = new BrainyData()
   await db.init()
   // ...
 </script>
         

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Modern bundlers like Webpack, Rollup, and Vite will automatically select the browser-optimized version when
-          targeting browser environments.

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Modern bundlers like Webpack, Rollup, and Vite will automatically use the unified build which adapts to any
+          environment.

Interactive Brainy Explorer

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This interactive demo allows you to experiment with all of Brainy's features. Initialize the database, add - data, create relationships, and perform searches - all with real-time visualizations.

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This interactive demo guides you through Brainy's features step by step, from basic operations to advanced + capabilities.

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Database Operations

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Initialize the database, add sample data, or clear all data.

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Step 1: Getting Started with Brainy

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Let's start by initializing the database and exploring basic operations.

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Data Model Management

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Create entities (nouns), define relationships (verbs), and manage your data schema.

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Step 2: Adding Entities (Nouns)

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Now that your database is initialized, let's add some entities (nouns) to it.

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Vector Search & Semantic Queries

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Perform semantic searches using vector embeddings and similarity matching.

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Step 3: Creating Relationships (Verbs)

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Connect your entities with meaningful relationships to build a knowledge graph.

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Step 4: Semantic Search

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Search your data using vector embeddings for semantic understanding.

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+ Try searching for topics in the sample data like "travel", "AI", "fitness", "food", "design", + "sustainability", or specific concepts like "workout challenge", "social media", "photography", etc. +

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- Zoom - - - +
+ Select a feature above to see a detailed demonstration...
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CLI Command Interface

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Simulate CLI commands and explore Brainy's command-line interface.

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Step 7: Command Line Interface

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Try Brainy's CLI commands for scripting and automation.

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- Available Commands:
+ Common Commands:
brainy init - Initialize a new database
brainy add <data> - Add data to the database
brainy search <query> - Search for entities
brainy relate <from> <to> - Create relationships
- brainy export - Export database
brainy status - Show database status
brainy help - Show all commands
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Feature Demonstrations

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Explore specific features and capabilities of Brainy with guided demonstrations.

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🔍 HNSW Vector Search

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Demonstrate fast approximate nearest neighbor search with hierarchical navigable small world - graphs.

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🌐 Graph Traversal

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Show graph traversal algorithms and relationship queries.

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🧠 Embedding Pipeline

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Demonstrate automatic text-to-vector conversion and similarity computation.

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📊 Real-time Updates

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Show live data synchronization and event streaming capabilities.

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💾 Storage Backends

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Compare different storage options: memory, filesystem, and cloud.

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🔧 TypeScript Integration

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Show type-safe operations and schema validation.

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- Select a feature above to see a detailed demonstration... -
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@@ -968,10 +1092,12 @@ await db.init()