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.

scripts/encode-image.js

@@ -0,0 +1,47 @@
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+
+// Get the directory of the current module
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+// Path to the image file
+const imagePath = path.join(__dirname, '..', 'brainy.png');
+
+// Read the image file
+const imageBuffer = fs.readFileSync(imagePath);
+
+// Convert the image to base64
+const base64Image = imageBuffer.toString('base64');
+
+// Get the MIME type based on file extension
+const getMimeType = (filePath) => {
+  const ext = path.extname(filePath).toLowerCase();
+  switch (ext) {
+    case '.png':
+      return 'image/png';
+    case '.jpg':
+    case '.jpeg':
+      return 'image/jpeg';
+    case '.gif':
+      return 'image/gif';
+    case '.svg':
+      return 'image/svg+xml';
+    default:
+      return 'application/octet-stream';
+  }
+};
+
+const mimeType = getMimeType(imagePath);
+
+// Create the data URL
+const dataUrl = `data:${mimeType};base64,${base64Image}`;
+
+// Output the complete HTML img tag
+const imgTag = `<img src="${dataUrl}" alt="Brainy Logo" width="200"/>`;
+
+// Write to a file instead of console.log to avoid truncation
+fs.writeFileSync(path.join(__dirname, '..', 'encoded-image.html'), imgTag);
+
+console.log('Base64 encoded image has been saved to encoded-image.html');