From dcf17449981a142069b387caa402568722cbdadd Mon Sep 17 00:00:00 2001
From: Yujong Lee <yujong@berri.ai>
Date: Sun, 30 Aug 2026 18:03:24 -0700
Subject: [PATCH] fix(vector-stores): preserve S3 ingest embedding model

---
 litellm/proxy/rag_endpoints/endpoints.py           | 5 +++++
 ui/litellm-dashboard/src/components/networking.tsx | 9 ++++++++-
 2 files changed, 13 insertions(+), 1 deletion(-)

diff --git a/litellm/proxy/rag_endpoints/endpoints.py b/litellm/proxy/rag_endpoints/endpoints.py
index 4d62f1d6d71..2f088a41d26 100644
--- a/litellm/proxy/rag_endpoints/endpoints.py
+++ b/litellm/proxy/rag_endpoints/endpoints.py
@@ -225,6 +225,11 @@ async def _save_vector_store_to_db_from_rag_ingest(
         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
+
     # Build file metadata entry using helper
     file_entry: Final = _build_file_metadata_entry(
         response=response,
diff --git a/ui/litellm-dashboard/src/components/networking.tsx b/ui/litellm-dashboard/src/components/networking.tsx
index b53a67f9bcc..f6a18af00d5 100644
--- a/ui/litellm-dashboard/src/components/networking.tsx
+++ b/ui/litellm-dashboard/src/components/networking.tsx
@@ -5805,12 +5805,19 @@ 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 ingestOptions: any = {
       ingest_options: {
+        ...(typeof s3EmbeddingModel === "string" && s3EmbeddingModel && { embedding: { model: s3EmbeddingModel } }),
         vector_store: {
           custom_llm_provider: customLlmProvider,
           ...(vectorStoreId && { vector_store_id: vectorStoreId }),
-          ...(providerSpecificParams && providerSpecificParams),
+          ...vectorStoreParams,
         },
       },
     };