diff --git a/.gitignore b/.gitignore
index ce89292..29dab28 100644
--- a/.gitignore
+++ b/.gitignore
@@ -300,6 +300,8 @@ FakesAssemblies/
 # Node.js Tools for Visual Studio
 .ntvs_analysis.dat
 node_modules/
+dist/
+package-lock.json
 
 # Visual Studio 6 build log
 *.plg
diff --git a/ai/vector-search-typescript/.env.example b/ai/vector-search-typescript/.env.example
index 9bf4f8a..0804478 100644
--- a/ai/vector-search-typescript/.env.example
+++ b/ai/vector-search-typescript/.env.example
@@ -23,7 +23,7 @@ EMBEDDING_DIMENSIONS=1536
 LOAD_SIZE_BATCH=100
 
 # ========================================
-# MongoDB/Cosmos DB Connection Settings
+# MongoDB/DocumentDB Connection Settings
 # ========================================
 MONGO_CONNECTION_STRING=mongodb+srv://<USERNAME>:<PASSWORD>@<CLUSTER-NAME>.global.mongocluster.cosmos.azure.com/?tls=true&authMechanism=SCRAM-SHA-256&retrywrites=false&maxIdleTimeMS=120000
 MONGO_CLUSTER_NAME=<CLUSTER-NAME>
diff --git a/ai/vector-search-typescript/package.json b/ai/vector-search-typescript/package.json
index 823fc94..6c9e363 100644
--- a/ai/vector-search-typescript/package.json
+++ b/ai/vector-search-typescript/package.json
@@ -1,7 +1,7 @@
 {
-  "name": "ts-cosmos-nodejs-vector-samples",
+  "name": "ts-documentdb-nodejs-vector-samples",
   "version": "1.0.0",
-  "description": "Samples for MongoDB vCore vector search with Cosmos DB",
+  "description": "Samples for MongoDB vCore vector search with DocumentDB",
   "main": "index.js",
   "type": "module",
   "scripts": {
diff --git a/ai/vector-search-typescript/src/create-embeddings.ts b/ai/vector-search-typescript/src/create-embeddings.ts
index 6524bce..295e451 100644
--- a/ai/vector-search-typescript/src/create-embeddings.ts
+++ b/ai/vector-search-typescript/src/create-embeddings.ts
@@ -1,7 +1,7 @@
 /**
  * Module for creating embedding vectors using OpenAI API
  * Supports text embedding models for generating embeddings
- * that can be used with Cosmos DB MongoDB vCore vector search
+ * that can be used with DocumentDB MongoDB vCore vector search
  */
 import * as path from "node:path";
 import { AzureOpenAI } from "openai";
diff --git a/ai/vector-search-typescript/src/utils.ts b/ai/vector-search-typescript/src/utils.ts
index f557ade..88b7021 100644
--- a/ai/vector-search-typescript/src/utils.ts
+++ b/ai/vector-search-typescript/src/utils.ts
@@ -61,7 +61,7 @@ export function getClientsPasswordless(): { aiClient: AzureOpenAI | null; dbClie
         });
     }
 
-    // For Cosmos DB with DefaultAzureCredential
+    // For DocumentDB with DefaultAzureCredential
     const clusterName = process.env.MONGO_CLUSTER_NAME!;
 
     if (clusterName) {