diff --git a/examples/vector_databases/mongodb_atlas/semantic_search_using_mongodb_atlas_vector_search.ipynb b/examples/vector_databases/mongodb_atlas/semantic_search_using_mongodb_atlas_vector_search.ipynb
index fe4f9b22..62c9f607 100644
--- a/examples/vector_databases/mongodb_atlas/semantic_search_using_mongodb_atlas_vector_search.ipynb
+++ b/examples/vector_databases/mongodb_atlas/semantic_search_using_mongodb_atlas_vector_search.ipynb
@@ -229,7 +229,7 @@
         "id": "ShPbxQPaPvHD"
       },
       "source": [
-        "After executing the above, the documents in \"movies\" collection will contain an additional field of \"embedding\", as defined by the `EMBEDDDING_FIELD_NAME` variable, apart from already existing fields like title, plot, genres, cast, directors, etc."
+        "After executing the above, the documents in \"movies\" collection will contain an additional field of \"embedding\", as defined by the `EMBEDDING_FIELD_NAME` variable, apart from already existing fields like title, plot, genres, cast, directors, etc."
       ]
     },
     {
@@ -238,7 +238,7 @@
         "id": "Coq0tyjXyNIu"
       },
       "source": [
-        "Note: We are restricting this to just 500 documents in the interest of time. If you want to do this over the entire dataset of 23,000+ documents in our sample_mflix database, it will take a little while. Alternatively, you can use the [sample_mflix.embedded_movies collection](https://www.mongodb.com/docs/atlas/sample-data/sample-mflix/#sample_mflix.embedded_movies) which includes a pre-populated `plot_embedding` field that contains embeddings created using OpenAI's `text-embedding-3-small` embedding model that you can use with the Atlas Search vector search feature.\n",
+        "Note: We are restricting this to just 500 documents in the interest of time. If you want to do this over the entire dataset of 23,000+ documents in our sample_mflix database, it will take a little while. Alternatively, you can use the [sample_mflix.embedded_movies collection](https://www.mongodb.com/docs/atlas/sample-data/sample-mflix/#sample_mflix.embedded_movies) which includes a pre-populated `plot_embedding` field that contains embeddings created using OpenAI's `text-embedding-ada-002` embedding model that you can use with the Atlas Search vector search feature.\n",
         "\n",
         "\n"
       ]