diff --git a/apps/docs/content/guides/ai/automatic-embeddings.mdx b/apps/docs/content/guides/ai/automatic-embeddings.mdx
index cb39bb5a8aa..d84200b03d0 100644
--- a/apps/docs/content/guides/ai/automatic-embeddings.mdx
+++ b/apps/docs/content/guides/ai/automatic-embeddings.mdx
@@ -5,7 +5,7 @@ description: 'Automate embedding generation and updates in Postgres'
 sidebar_label: 'Automatic embeddings'
 ---
 
-Vector embeddings enable powerful [semantic search](/docs/guides/ai/semantic-search) capabilities in Postgres, but managing them alongside your content has traditionally been complex. This guide demonstrates how to automate embedding generation and updates using Supabase [Edge Functions](/docs/guides/functions), [pgmq](/docs/guides/database/extensions/pgmq), [pg_net](/docs/guides/database/extensions/pg_net), and [pg_cron](/docs/guides/cron).
+Vector embeddings enable powerful [semantic search](/docs/guides/ai/semantic-search) capabilities for Postgres, but managing them alongside your content has traditionally been complex. This guide demonstrates how to automate embedding generation and updates using Supabase [Edge Functions](/docs/guides/functions), [pgmq](/docs/guides/database/extensions/pgmq), [pg_net](/docs/guides/database/extensions/pg_net), and [pg_cron](/docs/guides/cron).
 
 ## Understanding the challenge