diff --git a/examples/async/sparse_vectors.py b/examples/async/sparse_vectors.py
index d50b4080..458798a3 100644
--- a/examples/async/sparse_vectors.py
+++ b/examples/async/sparse_vectors.py
@@ -84,7 +84,7 @@
 DATASET_URL = "https://raw.githubusercontent.com/elastic/elasticsearch-labs/main/datasets/workplace-documents.json"
 
 # initialize sentence tokenizer
-nltk.download("punkt", quiet=True)
+nltk.download("punkt_tab", quiet=True)
 
 
 class Passage(InnerDoc):
diff --git a/examples/async/vectors.py b/examples/async/vectors.py
index 5221929d..b58c184e 100644
--- a/examples/async/vectors.py
+++ b/examples/async/vectors.py
@@ -70,7 +70,7 @@
 MODEL_NAME = "all-MiniLM-L6-v2"
 
 # initialize sentence tokenizer
-nltk.download("punkt", quiet=True)
+nltk.download("punkt_tab", quiet=True)
 
 # this will be the embedding model
 embedding_model: Any = None
diff --git a/examples/sparse_vectors.py b/examples/sparse_vectors.py
index ae156fe7..ba853e8c 100644
--- a/examples/sparse_vectors.py
+++ b/examples/sparse_vectors.py
@@ -83,7 +83,7 @@
 DATASET_URL = "https://raw.githubusercontent.com/elastic/elasticsearch-labs/main/datasets/workplace-documents.json"
 
 # initialize sentence tokenizer
-nltk.download("punkt", quiet=True)
+nltk.download("punkt_tab", quiet=True)
 
 
 class Passage(InnerDoc):
diff --git a/examples/vectors.py b/examples/vectors.py
index c983514d..ef1342ee 100644
--- a/examples/vectors.py
+++ b/examples/vectors.py
@@ -69,7 +69,7 @@
 MODEL_NAME = "all-MiniLM-L6-v2"
 
 # initialize sentence tokenizer
-nltk.download("punkt", quiet=True)
+nltk.download("punkt_tab", quiet=True)
 
 # this will be the embedding model
 embedding_model: Any = None