diff --git a/README.md b/README.md
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@@ -81,7 +81,7 @@ For example, the `"Chat your data"` use case:
 
 What are embeddings?
 
-- [Read the guide from OpenAI](https://platform.openai.com/docs/guides/embeddings/what-are-embeddings)
+- [Read the guide from OpenAI](https://platform.openai.com/docs/guides/embeddings)
 - __Literal__: Embedding something turns it from image/text/audio into a list of numbers. 🖼️ or 📄 => `[1.2, 2.1, ....]`. This process makes documents "understandable" to a machine learning model.
 - __By analogy__: An embedding represents the essence of a document. This enables documents and queries with the same essence to be "near" each other and therefore easy to find.
 - __Technical__: An embedding is the latent-space position of a document at a layer of a deep neural network. For models trained specifically to embed data, this is the last layer.