add ollama embedding config and fix sqlite_vec db

llama_stack/providers/inline/vector_io/sqlite_vec/sqlite_vec.py

@@ -162,7 +162,7 @@ class SQLiteVecVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
 
     async def initialize(self) -> None:
         # Open a connection to the SQLite database (the file is specified in the config).
-        self.connection = sqlite3.connect(self.config.db_path)
+        self.connection = sqlite3.connect(self.config.db_path,check_same_thread=False)
         self.connection.enable_load_extension(True)
         sqlite_vec.load(self.connection)
         self.connection.enable_load_extension(False)

llama_stack/templates/ollama/run.yaml

@@ -87,6 +87,12 @@ models:
   model_id: ${env.INFERENCE_MODEL}
   provider_id: ollama
   model_type: llm
+- metadata:
+    embedding_dimension: 384
+  model_id: all-MiniLM-L6-v2
+  provider_id: ollama
+  provider_model_id: all-minilm:latest
+  model_type: embedding
 shields: []
 vector_dbs: []
 datasets: []