Update MCP defaults

main.py

@@ -244,7 +244,10 @@ class GoogleCloudVectorSearch:
             json=payload,
             headers=headers,
         ) as response:
-            response.raise_for_status()
+            if not response.ok:
+                body = await response.text()
+                msg = f"findNeighbors returned {response.status}: {body}"
+                raise RuntimeError(msg)
             data = await response.json()
 
         neighbors = data.get("nearestNeighbors", [{}])[0].get("neighbors", [])
@@ -281,6 +284,8 @@ class GoogleCloudVectorSearch:
 class Settings(BaseSettings):
     """Server configuration populated from environment variables."""
 
+    model_config = {"env_file": ".env"}
+
     project_id: str
     location: str
     bucket: str
@@ -288,7 +293,7 @@ class Settings(BaseSettings):
     deployed_index_id: str
     endpoint_name: str
     endpoint_domain: str
-    embedding_model: str = "text-embedding-005"
+    embedding_model: str = "gemini-embedding-001"
     search_limit: int = 10
 
 
@@ -359,6 +364,7 @@ async def knowledge_search(
         contents=query,
         config=genai_types.EmbedContentConfig(
             task_type="RETRIEVAL_QUERY",
+
         ),
     )
     embedding = response.embeddings[0].values