diff --git a/ui/litellm-dashboard/eslint-suppressions.json b/ui/litellm-dashboard/eslint-suppressions.json
index 7de7373b20b..c2bc823ea1f 100644
--- a/ui/litellm-dashboard/eslint-suppressions.json
+++ b/ui/litellm-dashboard/eslint-suppressions.json
@@ -1208,11 +1208,6 @@
       "count": 1
     }
   },
-  "src/app/(dashboard)/vector-stores/_components/VectorStoreForm.tsx": {
-    "no-nested-ternary": {
-      "count": 2
-    }
-  },
   "src/app/(dashboard)/vector-stores/_components/index.tsx": {
     "local/filename-pascal-case": {
       "count": 1
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx
index 94aa6cc99a0..84a9314ecce 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx
@@ -69,6 +69,15 @@ describe("VectorStoreForm", () => {
   });
 });
 
+const MONGODB_URI = "mongodb+srv://user:pass@cluster0.mongodb.net";
+
+const MONGODB_REQUIRED_FORM_VALUES = {
+  mongodb_connection_string: MONGODB_URI,
+  mongodb_database: "sample_mflix",
+  mongodb_collection: "embedded_movies",
+  embedding_model: "text-embedding-ada-002",
+};
+
 describe("buildVectorStoreLitellmParams", () => {
   it("renames embedding_model to litellm_embedding_model for valkey", () => {
     const valkeyFormValues = {
@@ -111,51 +120,43 @@ describe("buildVectorStoreLitellmParams", () => {
   });
 
   it("renames embedding_model to litellm_embedding_model for mongodb", () => {
-    const params = buildVectorStoreLitellmParams("mongodb", {
-      mongodb_connection_string: "mongodb+srv://user:pass@cluster0.mongodb.net",
-      mongodb_database: "sample_mflix",
-      mongodb_collection: "embedded_movies",
+    const formValues = {
+      ...MONGODB_REQUIRED_FORM_VALUES,
       mongodb_embedding_field: "plot_embedding",
       mongodb_text_field: "plot",
       mongodb_num_candidates: "200",
-      embedding_model: "text-embedding-ada-002",
-    });
-
-    expect(params).toEqual({
-      mongodb_connection_string: "mongodb+srv://user:pass@cluster0.mongodb.net",
+    };
+    const expected = {
+      mongodb_connection_string: MONGODB_URI,
       mongodb_database: "sample_mflix",
       mongodb_collection: "embedded_movies",
       mongodb_embedding_field: "plot_embedding",
       mongodb_text_field: "plot",
       mongodb_num_candidates: "200",
       litellm_embedding_model: "text-embedding-ada-002",
-    });
+    };
+
+    expect(buildVectorStoreLitellmParams("mongodb", formValues)).toEqual(expected);
   });
 
   it("sends only mongodb fields when an earlier provider left values in the form", () => {
-    const params = buildVectorStoreLitellmParams("mongodb", {
-      mongodb_connection_string: "mongodb+srv://user:pass@cluster0.mongodb.net",
-      mongodb_database: "sample_mflix",
-      mongodb_collection: "embedded_movies",
-      embedding_model: "text-embedding-ada-002",
+    const formValues = {
+      ...MONGODB_REQUIRED_FORM_VALUES,
       valkey_host: "left-over-from-valkey.example.com",
       valkey_port: "6379",
       aws_region_name: "us-west-2",
-    });
+    };
+
+    const params = buildVectorStoreLitellmParams("mongodb", formValues);
 
     expect(params).not.toHaveProperty("valkey_host");
     expect(params).not.toHaveProperty("valkey_port");
     expect(params).not.toHaveProperty("aws_region_name");
-    expect(params.mongodb_connection_string).toBe("mongodb+srv://user:pass@cluster0.mongodb.net");
+    expect(params.mongodb_connection_string).toBe(MONGODB_URI);
   });
 
   it("omits a blank mongodb_num_candidates so litellm picks its own candidate count", () => {
-    const params = buildVectorStoreLitellmParams("mongodb", {
-      mongodb_connection_string: "mongodb+srv://user:pass@cluster0.mongodb.net",
-      mongodb_database: "sample_mflix",
-      mongodb_collection: "embedded_movies",
-      embedding_model: "text-embedding-ada-002",
-    });
+    const params = buildVectorStoreLitellmParams("mongodb", MONGODB_REQUIRED_FORM_VALUES);
 
     expect(params.mongodb_num_candidates).toBeUndefined();
     expect(JSON.parse(JSON.stringify(params))).not.toHaveProperty("mongodb_num_candidates");
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.tsx b/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.tsx
index e25dbe30005..61da25874a5 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.tsx
@@ -138,6 +138,17 @@ const vectorStoreSchema = z.object(vectorStoreShape).superRefine((values, ctx) =
 
 type VectorStoreFormValues = z.output<typeof vectorStoreSchema>;
 
+const VECTOR_STORE_ID_PLACEHOLDERS: Record<string, string> = {
+  vertex_rag_engine: '6917529027641081856 (corpus ID from Vertex AI / "RAG Engine" console)',
+  "vertex_ai/search_api": 'my-datastore_1234567890 (data store ID from Vertex AI / "Agent Search" console)',
+  valkey: "my-search-index (FT index name in Valkey)",
+  mongodb: "my-vector-index (Atlas Vector Search index name)",
+};
+
+const VERTEX_SEARCH_API_WITH_ENGINE_PLACEHOLDER = "Any identifier you'll use to reference this in LiteLLM";
+
+const DEFAULT_VECTOR_STORE_ID_PLACEHOLDER = "Enter vector store ID from your provider";
+
 const EMPTY_VALUES: VectorStoreFormValues = {
   custom_llm_provider: "bedrock",
   vector_store_id: "",
@@ -268,17 +279,9 @@ const VectorStoreForm: React.FC<VectorStoreFormProps> = ({
   };
 
   const vectorStoreIdPlaceholder =
-    selectedProvider === "vertex_rag_engine"
-      ? '6917529027641081856 (corpus ID from Vertex AI / "RAG Engine" console)'
-      : selectedProvider === "vertex_ai/search_api"
-        ? vertexEngineId
-          ? "Any identifier you'll use to reference this in LiteLLM"
-          : 'my-datastore_1234567890 (data store ID from Vertex AI / "Agent Search" console)'
-        : selectedProvider === "valkey"
-          ? "my-search-index (FT index name in Valkey)"
-          : selectedProvider === "mongodb"
-            ? "my-vector-index (Atlas Vector Search index name)"
-            : "Enter vector store ID from your provider";
+    selectedProvider === "vertex_ai/search_api" && vertexEngineId
+      ? VERTEX_SEARCH_API_WITH_ENGINE_PLACEHOLDER
+      : VECTOR_STORE_ID_PLACEHOLDERS[selectedProvider] ?? DEFAULT_VECTOR_STORE_ID_PLACEHOLDER;
 
   return (
     <Dialog open={isVisible} onOpenChange={(open) => !open && handleCancel()}>