diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index 7cb2a73f3..34583cca8 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -16632,14 +16632,14 @@
                         "type": "string",
                         "description": "The embedding model to use."
                     },
-                    "embedding_dimension": {
-                        "type": "integer",
-                        "description": "The dimension of the embedding model."
-                    },
                     "provider_id": {
                         "type": "string",
                         "description": "The identifier of the provider."
                     },
+                    "embedding_dimension": {
+                        "type": "integer",
+                        "description": "The dimension of the embedding model."
+                    },
                     "vector_db_name": {
                         "type": "string",
                         "description": "The name of the vector database."
@@ -16652,7 +16652,8 @@
                 "additionalProperties": false,
                 "required": [
                     "vector_db_id",
-                    "embedding_model"
+                    "embedding_model",
+                    "provider_id"
                 ],
                 "title": "RegisterVectorDbRequest"
             },
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index 25089868c..f9c7abe7d 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -12367,12 +12367,12 @@ components:
         embedding_model:
           type: string
           description: The embedding model to use.
-        embedding_dimension:
-          type: integer
-          description: The dimension of the embedding model.
         provider_id:
           type: string
           description: The identifier of the provider.
+        embedding_dimension:
+          type: integer
+          description: The dimension of the embedding model.
         vector_db_name:
           type: string
           description: The name of the vector database.
@@ -12384,6 +12384,7 @@ components:
       required:
         - vector_db_id
         - embedding_model
+        - provider_id
       title: RegisterVectorDbRequest
     RerankRequest:
       type: object