diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index 9f798773a..d53904c74 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -13593,16 +13593,11 @@
                     "provider_id": {
                         "type": "string",
                         "description": "The ID of the provider to use for this vector store."
-                    },
-                    "provider_vector_db_id": {
-                        "type": "string",
-                        "description": "The provider-specific vector database ID."
                     }
                 },
                 "additionalProperties": false,
                 "required": [
-                    "name",
-                    "provider_vector_db_id"
+                    "name"
                 ],
                 "title": "OpenaiCreateVectorStoreRequest"
             },
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index 6d2c1efdd..2081cf154 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -9496,14 +9496,9 @@ components:
           type: string
           description: >-
             The ID of the provider to use for this vector store.
-        provider_vector_db_id:
-          type: string
-          description: >-
-            The provider-specific vector database ID.
       additionalProperties: false
       required:
         - name
-        - provider_vector_db_id
       title: OpenaiCreateVectorStoreRequest
     VectorStoreFileCounts:
       type: object
diff --git a/llama_stack/apis/vector_io/vector_io.py b/llama_stack/apis/vector_io/vector_io.py
index f8318bed8..618ac2a95 100644
--- a/llama_stack/apis/vector_io/vector_io.py
+++ b/llama_stack/apis/vector_io/vector_io.py
@@ -346,7 +346,6 @@ class VectorIO(Protocol):
         embedding_model: str | None = None,
         embedding_dimension: int | None = 384,
         provider_id: str | None = None,
-        provider_vector_db_id: str = "",
     ) -> VectorStoreObject:
         """Creates a vector store.
 
@@ -358,7 +357,6 @@ class VectorIO(Protocol):
         :param embedding_model: The embedding model to use for this vector store.
         :param embedding_dimension: The dimension of the embedding vectors (default: 384).
         :param provider_id: The ID of the provider to use for this vector store.
-        :param provider_vector_db_id: The provider-specific vector database ID.
         :returns: A VectorStoreObject representing the created vector store.
         """
         ...
diff --git a/llama_stack/distribution/routers/vector_io.py b/llama_stack/distribution/routers/vector_io.py
index 4f1f1dd12..8ddbeef77 100644
--- a/llama_stack/distribution/routers/vector_io.py
+++ b/llama_stack/distribution/routers/vector_io.py
@@ -126,7 +126,6 @@ class VectorIORouter(VectorIO):
         embedding_model: str | None = None,
         embedding_dimension: int | None = None,
         provider_id: str | None = None,
-        provider_vector_db_id: str = "",
     ) -> VectorStoreObject:
         logger.debug(f"VectorIORouter.openai_create_vector_store: name={name}, provider_id={provider_id}")
 
@@ -144,7 +143,7 @@ class VectorIORouter(VectorIO):
             embedding_model,
             embedding_dimension,
             provider_id,
-            provider_vector_db_id,
+            vector_db_id,
             name,
         )
         return await self.routing_table.get_provider_impl(registered_vector_db.identifier).openai_create_vector_store(
diff --git a/llama_stack/providers/remote/vector_io/pgvector/pgvector.py b/llama_stack/providers/remote/vector_io/pgvector/pgvector.py
index b30c73767..38ec3279b 100644
--- a/llama_stack/providers/remote/vector_io/pgvector/pgvector.py
+++ b/llama_stack/providers/remote/vector_io/pgvector/pgvector.py
@@ -247,7 +247,6 @@ class PGVectorVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
         embedding_model: str | None = None,
         embedding_dimension: int | None = 384,
         provider_id: str | None = None,
-        provider_vector_db_id: str = "",
     ) -> VectorStoreObject:
         raise NotImplementedError("OpenAI Vector Stores API is not supported in PGVector")
 
diff --git a/llama_stack/providers/remote/vector_io/qdrant/qdrant.py b/llama_stack/providers/remote/vector_io/qdrant/qdrant.py
index 09ea08fa0..5bdea0ce8 100644
--- a/llama_stack/providers/remote/vector_io/qdrant/qdrant.py
+++ b/llama_stack/providers/remote/vector_io/qdrant/qdrant.py
@@ -214,7 +214,6 @@ class QdrantVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
         embedding_model: str | None = None,
         embedding_dimension: int | None = 384,
         provider_id: str | None = None,
-        provider_vector_db_id: str | None = None,
     ) -> VectorStoreObject:
         raise NotImplementedError("OpenAI Vector Stores API is not supported in Qdrant")