diff --git a/litellm/proxy/rag_endpoints/endpoints.py b/litellm/proxy/rag_endpoints/endpoints.py
index 2f088a41d26..fe070c4f557 100644
--- a/litellm/proxy/rag_endpoints/endpoints.py
+++ b/litellm/proxy/rag_endpoints/endpoints.py
@@ -219,16 +219,18 @@ async def _save_vector_store_to_db_from_rag_ingest(
 
     # Extract provider-specific params from vector_store_config to save as litellm_params
     # This ensures params like aws_region_name, embedding_model, etc. are available for search
-    provider_specific_params: Final = {}
     excluded_keys: Final = {"custom_llm_provider", "vector_store_id"}
-    for key, value in vector_store_config.items():
-        if key not in excluded_keys and value is not None:
-            provider_specific_params[key] = value
-
     embedding_config: Final = ingest_options.get("embedding")
     embedding_model: Final = embedding_config.get("model") if embedding_config else None
-    if custom_llm_provider == "s3_vectors" and isinstance(embedding_model, str) and embedding_model:
-        provider_specific_params["embedding_model"] = embedding_model
+    s3_embedding_params: Final = (
+        {"embedding_model": embedding_model}
+        if custom_llm_provider == "s3_vectors" and isinstance(embedding_model, str) and embedding_model
+        else {}
+    )
+    provider_specific_params: Final = {
+        **{key: value for key, value in vector_store_config.items() if key not in excluded_keys and value is not None},
+        **s3_embedding_params,
+    }
 
     # Build file metadata entry using helper
     file_entry: Final = _build_file_metadata_entry(
diff --git a/ui/litellm-dashboard/src/components/networking.tsx b/ui/litellm-dashboard/src/components/networking.tsx
index f6a18af00d5..c1a31808372 100644
--- a/ui/litellm-dashboard/src/components/networking.tsx
+++ b/ui/litellm-dashboard/src/components/networking.tsx
@@ -5805,11 +5805,10 @@ export const ragIngestCall = async (
     const formData = new FormData();
     formData.append("file", file);
 
-    const vectorStoreParams = { ...(providerSpecificParams ?? {}) };
-    const s3EmbeddingModel = customLlmProvider === "s3_vectors" ? vectorStoreParams.embedding_model : undefined;
-    if (customLlmProvider === "s3_vectors") {
-      delete vectorStoreParams.embedding_model;
-    }
+    const { embedding_model: providerEmbeddingModel, ...paramsWithoutEmbeddingModel } = providerSpecificParams ?? {};
+    const s3EmbeddingModel = customLlmProvider === "s3_vectors" ? providerEmbeddingModel : undefined;
+    const vectorStoreParams =
+      customLlmProvider === "s3_vectors" ? paramsWithoutEmbeddingModel : providerSpecificParams ?? {};
 
     const ingestOptions: any = {
       ingest_options: {