diff --git a/qdrant-landing/content/documentation/embeddings/mistral.md b/qdrant-landing/content/documentation/embeddings/mistral.md
index d4053ae36..dfc0fe6f2 100644
--- a/qdrant-landing/content/documentation/embeddings/mistral.md
+++ b/qdrant-landing/content/documentation/embeddings/mistral.md
@@ -91,6 +91,6 @@ You can use Mistral Embedding Models with [Binary Quantization](/articles/binary
 
 At an oversampling of 3 and a limit of 100, we've a 95% recall against the exact nearest neighbors with rescore enabled.
 
-![](../../../static/documentation/embeddings/mistral-binary-quantization.png)
+![](/static/documentation/embeddings/mistral-binary-quantization.png)
 
 That's it! You can now use Mistral Embedding Models with Qdrant!
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