diff --git a/mongo-vcore-vector-search-go/.env.example b/mongo-vcore-vector-search-go/.env.example
index 0730a20..4d91ed9 100644
--- a/mongo-vcore-vector-search-go/.env.example
+++ b/mongo-vcore-vector-search-go/.env.example
@@ -37,7 +37,7 @@ DATA_FOLDER=data
 FIELD_TO_EMBED=Description
 
 # Name of the field where embeddings will be stored
-EMBEDDED_FIELD=DescriptionVector
+EMBEDDED_FIELD=text_embedding_ada_002
 
 # Number of dimensions in the embedding vectors (1536 for text-embedding-ada-002)
 EMBEDDING_DIMENSIONS=1536
diff --git a/mongo-vcore-vector-search-go/README.md b/mongo-vcore-vector-search-go/README.md
index 509b8f3..d2897a3 100644
--- a/mongo-vcore-vector-search-go/README.md
+++ b/mongo-vcore-vector-search-go/README.md
@@ -124,10 +124,10 @@ MONGO_CONNECTION_STRING=mongodb+srv://username:password@your-cluster.mongocluste
 MONGO_CLUSTER_NAME=vectorSearch
 
 # Data Configuration (defaults should work)
-DATA_FILE_WITHOUT_VECTORS=data/HotelsData_toCosmosDB_Vector.json
+DATA_FILE_WITHOUT_VECTORS=data/HotelsData_toCosmosDB.json
 DATA_FILE_WITH_VECTORS=data/HotelsData_toCosmosDB_Vector.json
 FIELD_TO_EMBED=Description
-EMBEDDED_FIELD=DescriptionVector
+EMBEDDED_FIELD=text_embedding_ada_002
 EMBEDDING_DIMENSIONS=1536
 EMBEDDING_SIZE_BATCH=16
 LOAD_SIZE_BATCH=100