Initial commit: Brainy - Multi-Dimensional AI Database

Open source vector database with HNSW indexing, graph relationships,
and metadata facets. Features CLI with professional augmentation registry
integration for discovering extensions and capabilities.

dist/demo.js

@@ -0,0 +1,201 @@
+/**
+ * Demo-specific entry point for browser environments
+ * This excludes all Node.js-specific functionality to avoid import issues
+ */
+// Import only browser-compatible modules
+import { MemoryStorage } from './storage/adapters/memoryStorage.js';
+import { TransformerEmbedding } from './utils/embedding.js';
+import { cosineDistance } from './utils/distance.js';
+/**
+ * Simplified BrainyData class for demo purposes
+ * Only includes browser-compatible functionality
+ */
+export class DemoBrainyData {
+    constructor() {
+        this.embedder = null;
+        this.initialized = false;
+        this.vectors = new Map();
+        this.metadata = new Map();
+        this.verbs = new Map();
+        // Always use memory storage for demo simplicity
+        this.storage = new MemoryStorage();
+    }
+    /**
+     * Initialize the database
+     */
+    async init() {
+        if (this.initialized)
+            return;
+        try {
+            await this.storage.init();
+            // Initialize the embedder
+            this.embedder = new TransformerEmbedding({ verbose: false });
+            await this.embedder.init();
+            this.initialized = true;
+            console.log('✅ Demo BrainyData initialized successfully');
+        }
+        catch (error) {
+            console.error('Failed to initialize demo BrainyData:', error);
+            throw error;
+        }
+    }
+    /**
+     * Add a document to the database
+     */
+    async add(text, metadata = {}) {
+        if (!this.initialized || !this.embedder) {
+            throw new Error('Database not initialized');
+        }
+        const id = this.generateId();
+        try {
+            // Generate embedding
+            const vector = await this.embedder.embed(text);
+            // Store data
+            this.vectors.set(id, vector);
+            this.metadata.set(id, { text, ...metadata, timestamp: Date.now() });
+            return id;
+        }
+        catch (error) {
+            console.error('Failed to add document:', error);
+            throw error;
+        }
+    }
+    /**
+     * Search for similar documents
+     */
+    async searchText(query, limit = 10) {
+        if (!this.initialized || !this.embedder) {
+            throw new Error('Database not initialized');
+        }
+        try {
+            // Generate query embedding
+            const queryVector = await this.embedder.embed(query);
+            // Calculate similarities
+            const results = [];
+            for (const [id, vector] of this.vectors.entries()) {
+                const score = 1 - cosineDistance(queryVector, vector); // Convert distance to similarity
+                const metadata = this.metadata.get(id);
+                results.push({
+                    id,
+                    score,
+                    metadata,
+                    text: metadata?.text
+                });
+            }
+            // Sort by score (highest first) and limit
+            return results
+                .sort((a, b) => b.score - a.score)
+                .slice(0, limit);
+        }
+        catch (error) {
+            console.error('Search failed:', error);
+            throw error;
+        }
+    }
+    /**
+     * Add a relationship between two documents
+     */
+    async addVerb(sourceId, targetId, verb, metadata = {}) {
+        const verbId = this.generateId();
+        const verbData = {
+            id: verbId,
+            source: sourceId,
+            target: targetId,
+            verb,
+            metadata,
+            timestamp: Date.now()
+        };
+        if (!this.verbs.has(sourceId)) {
+            this.verbs.set(sourceId, []);
+        }
+        this.verbs.get(sourceId).push(verbData);
+        return verbId;
+    }
+    /**
+     * Get relationships from a source document
+     */
+    async getVerbsBySource(sourceId) {
+        return this.verbs.get(sourceId) || [];
+    }
+    /**
+     * Get a document by ID
+     */
+    async get(id) {
+        const metadata = this.metadata.get(id);
+        const vector = this.vectors.get(id);
+        if (!metadata || !vector)
+            return null;
+        return {
+            id,
+            vector,
+            ...metadata
+        };
+    }
+    /**
+     * Delete a document
+     */
+    async delete(id) {
+        const deleted = this.vectors.delete(id) && this.metadata.delete(id);
+        this.verbs.delete(id);
+        return deleted;
+    }
+    /**
+     * Update document metadata
+     */
+    async updateMetadata(id, newMetadata) {
+        const metadata = this.metadata.get(id);
+        if (!metadata)
+            return false;
+        this.metadata.set(id, { ...metadata, ...newMetadata });
+        return true;
+    }
+    /**
+     * Get the number of documents
+     */
+    size() {
+        return this.vectors.size;
+    }
+    /**
+     * Generate a random ID
+     */
+    generateId() {
+        return 'id-' + Math.random().toString(36).substr(2, 9) + '-' + Date.now();
+    }
+    /**
+     * Get storage info
+     */
+    getStorage() {
+        return this.storage;
+    }
+}
+// Export noun and verb types for compatibility
+export const NounType = {
+    Person: 'Person',
+    Organization: 'Organization',
+    Location: 'Location',
+    Thing: 'Thing',
+    Concept: 'Concept',
+    Event: 'Event',
+    Document: 'Document',
+    Media: 'Media',
+    File: 'File',
+    Message: 'Message',
+    Content: 'Content'
+};
+export const VerbType = {
+    RelatedTo: 'related_to',
+    Contains: 'contains',
+    PartOf: 'part_of',
+    LocatedAt: 'located_at',
+    References: 'references',
+    Owns: 'owns',
+    CreatedBy: 'created_by',
+    BelongsTo: 'belongs_to',
+    Likes: 'likes',
+    Follows: 'follows'
+};
+// Export the main class as BrainyData for compatibility
+export { DemoBrainyData as BrainyData };
+// Default export
+export default DemoBrainyData;
+//# sourceMappingURL=demo.js.map