refactor: update query method in QdrantVectorStore and adjust thinking effort parameter in PydanticDeepAssistant

backend/app/agents/pydantic_deep_assistant.py

@@ -241,7 +241,7 @@ class PydanticDeepAssistant:
             # Cost tracking
             cost_tracking=True,
             # Thinking effort — "auto" lets pydantic-ai resolve per-provider
-            thinking=self.thinking_effort or "auto",
+            thinking=self.thinking_effort or None,
             # Extra tools (e.g. RAG search)
             **({"tools": extra_tools} if extra_tools else {}),
             **antv_kwargs,

backend/app/services/rag/vectorstore.py

@@ -204,9 +204,9 @@ class QdrantVectorStore(BaseVectorStore):
                 qdrant_filter = Filter(
                     must=[FieldCondition(key="parent_doc_id", match=MatchValue(value=m.group(1)))]
                 )
-        results = await self.client.search(
+        response = await self.client.query_points(
             collection_name=collection_name,
-            query_vector=query_vector,
+            query=query_vector,
             limit=limit,
             query_filter=qdrant_filter,
         )
@@ -217,7 +217,7 @@ class QdrantVectorStore(BaseVectorStore):
                 metadata=hit.payload.get("metadata", {}),
                 parent_doc_id=hit.payload.get("parent_doc_id"),
             )
-            for hit in results
+            for hit in response.points
         ]
 
     async def get_collection_info(self, collection_name: str) -> CollectionInfo: