diff --git a/examples/gemini/python/vectordb_with_qdrant/Qdrant_similarity_search.ipynb b/examples/gemini/python/vectordb_with_qdrant/Qdrant_similarity_search.ipynb
index 5d9ca0ee2..b7814a58c 100644
--- a/examples/gemini/python/vectordb_with_qdrant/Qdrant_similarity_search.ipynb
+++ b/examples/gemini/python/vectordb_with_qdrant/Qdrant_similarity_search.ipynb
@@ -328,7 +328,7 @@
         "\n",
         "To use the embedding model, you have to use the `embed_content` function from the `google-generativeai` package. To learn more about the embedding model, read the [model documentation](https://ai.google.dev/gemini-api/docs/models/gemini#embedding).\n",
         "\n",
-        "One of the arguments passed to the embedding function is `task_type`. Speciefying the `task_type` parameter ensures the model produces appropriate embeddingsfor the expected task and inputs. It is a string that can take on one of the following values:\n",
+        "One of the arguments passed to the embedding function is `task_type`. Specifying the `task_type` parameter ensures the model produces appropriate embeddingsfor the expected task and inputs. It is a string that can take on one of the following values:\n",
         "\n",
         "| task_type\t  |  Description |\n",
         "|---|---|\n",