diff --git a/private_gpt/components/vector_store/vector_store_component.py b/private_gpt/components/vector_store/vector_store_component.py
index 37bef89a..f9932b57 100644
--- a/private_gpt/components/vector_store/vector_store_component.py
+++ b/private_gpt/components/vector_store/vector_store_component.py
@@ -135,7 +135,6 @@ class VectorStoreComponent:
         similarity_top_k: int = 2,
     ) -> VectorIndexRetriever:
         # This way we support qdrant (using doc_ids) and the rest (using filters)
-        similarity_top_k = self.settings.rag.similarity_top_k
         return VectorIndexRetriever(
             index=index,
             similarity_top_k=similarity_top_k,
diff --git a/private_gpt/server/chat/chat_service.py b/private_gpt/server/chat/chat_service.py
index e4e52ead..dcd0514d 100644
--- a/private_gpt/server/chat/chat_service.py
+++ b/private_gpt/server/chat/chat_service.py
@@ -109,7 +109,7 @@ class ChatService:
         settings = self.settings
         if use_context:
             vector_index_retriever = self.vector_store_component.get_retriever(
-                index=self.index, context_filter=context_filter
+                index=self.index, context_filter=context_filter, similarity_top_k=self.settings.rag.similarity_top_k,
             )
             return ContextChatEngine.from_defaults(
                 system_prompt=system_prompt,