feat(brain): configurable embedding model, default to EmbeddingGemma

Make embedding model swappable via BRAIN_EMBEDDING_MODEL env var.
Switch default from nomic-embed-text to embeddinggemma (Gemma 3
based, 2x better cluster separation in benchmarks).

Default Ollama URL now points to ollama.lan (Linux homelab GPU).

Co-Authored-By: Virgil <virgil@lethean.io>

Boot.php

@@ -78,6 +78,7 @@ class Boot extends ServiceProvider
                 ollamaUrl: config('mcp.brain.ollama_url', 'http://localhost:11434'),
                 qdrantUrl: config('mcp.brain.qdrant_url', 'http://localhost:6334'),
                 collection: config('mcp.brain.collection', 'openbrain'),
+                embeddingModel: config('mcp.brain.embedding_model', 'nomic-embed-text'),
             );
         });
     }

Services/BrainService.php

@@ -11,7 +11,7 @@ use Illuminate\Support\Facades\Log;
 
 class BrainService
 {
-    private const EMBEDDING_MODEL = 'nomic-embed-text';
+    private const DEFAULT_MODEL = 'embeddinggemma';
 
     private const VECTOR_DIMENSION = 768;
 
@@ -19,6 +19,7 @@ class BrainService
         private string $ollamaUrl = 'http://localhost:11434',
         private string $qdrantUrl = 'http://localhost:6334',
         private string $collection = 'openbrain',
+        private string $embeddingModel = self::DEFAULT_MODEL,
     ) {}
 
     /**
@@ -32,7 +33,7 @@ class BrainService
     {
         $response = Http::timeout(30)
             ->post("{$this->ollamaUrl}/api/embeddings", [
-                'model' => self::EMBEDDING_MODEL,
+                'model' => $this->embeddingModel,
                 'prompt' => $text,
             ]);
 

config.php

@@ -82,9 +82,10 @@ return [
     */
 
     'brain' => [
-        'ollama_url' => env('BRAIN_OLLAMA_URL', 'http://localhost:11434'),
+        'ollama_url' => env('BRAIN_OLLAMA_URL', 'http://ollama.lan:11434'),
         'qdrant_url' => env('BRAIN_QDRANT_URL', 'http://localhost:6334'),
         'collection' => env('BRAIN_COLLECTION', 'openbrain'),
+        'embedding_model' => env('BRAIN_EMBEDDING_MODEL', 'embeddinggemma'),
     ],
 
 ];