diff --git a/docs/docs/guides/evaluation/string/embedding_distance.ipynb b/docs/docs/guides/evaluation/string/embedding_distance.ipynb
index 9ab5d1ebce..3d9030ddd3 100644
--- a/docs/docs/guides/evaluation/string/embedding_distance.ipynb
+++ b/docs/docs/guides/evaluation/string/embedding_distance.ipynb
@@ -9,7 +9,7 @@
"# Embedding Distance\n",
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/docs/guides/evaluation/string/embedding_distance.ipynb)\n",
"\n",
- "To measure semantic similarity (or dissimilarity) between a prediction and a reference label string, you could use a vector vector distance metric the two embedded representations using the `embedding_distance` evaluator.[[1]](#cite_note-1)\n",
+ "To measure semantic similarity (or dissimilarity) between a prediction and a reference label string, you could use a vector distance metric the two embedded representations using the `embedding_distance` evaluator.[[1]](#cite_note-1)\n",
"\n",
"\n",
"**Note:** This returns a **distance** score, meaning that the lower the number, the **more** similar the prediction is to the reference, according to their embedded representation.\n",