diff --git a/src/ts/process/embedding/transformers.ts b/src/ts/process/embedding/transformers.ts
index f4898500..627b9db5 100644
--- a/src/ts/process/embedding/transformers.ts
+++ b/src/ts/process/embedding/transformers.ts
@@ -57,7 +57,7 @@ export const runEmbedding = async (text: string):Promise<Float32Array> => {
     }
     const tokenizer = await AutoTokenizer.from_pretrained('Xenova/all-MiniLM-L6-v2');
     const tokens = tokenizer.encode(text)
-    if (tokens.length > 256) {
+    if (tokens.length > 1024) {
         let chunks:string[] = []
         let chunk:number[] = []
         for (let i = 0; i < tokens.length; i++) {
diff --git a/src/ts/process/memory/supaMemory.ts b/src/ts/process/memory/supaMemory.ts
index 7874d5a5..905e1b03 100644
--- a/src/ts/process/memory/supaMemory.ts
+++ b/src/ts/process/memory/supaMemory.ts
@@ -178,7 +178,7 @@ export async function supaMemory(
             if(db.supaMemoryType === 'distilbart'){
                 try {
                     const sum =  await runSummarizer(stringlizedChat)
-                    return sum[0].summary_text
+                    return sum
                 } catch (error) {
                     return {
                         currentTokens: currentTokens,
@@ -274,7 +274,7 @@ export async function supaMemory(
                             return {
                                 currentTokens: currentTokens,
                                 chats: chats,
-                                error: "Not Enough Tokens"
+                                error: "Not Enough Tokens to summarize in SupaMemory"
                             }
                         }
                         maxChunkSize = maxChunkSize * 0.7