diff --git a/README.md b/README.md
index 5fa49534b798c8bd94ff491f53440374055121a1..b78fae07024767ae57be319ddff876846ad8c52d 100644
--- a/README.md
+++ b/README.md
@@ -50,11 +50,12 @@ Where:
 - **--index_name**: The index_name where to store the embeddings in the collection.
 
 The main.py script will:
-1. Download PDF files from the S3 bucket.
-2. Split them into chunks.
-3. Generate embeddings from the chunks.
-4. Create an index in the vector DB.
-5. Store these embeddings in the OpenSearch Vector DB.
+
+* Download PDF files from the S3 bucket.
+* Split them into chunks.
+* Generate embeddings from the chunks.
+* Create an index in the vector DB.
+* Store these embeddings in the OpenSearch Vector DB.
 
 
 ## Part 2: