diff --git a/docs/extras/modules/data_connection/vectorstores/integrations/pgembedding.ipynb b/docs/extras/modules/data_connection/vectorstores/integrations/pgembedding.ipynb
index 051e7ef569..482e714b71 100644
--- a/docs/extras/modules/data_connection/vectorstores/integrations/pgembedding.ipynb
+++ b/docs/extras/modules/data_connection/vectorstores/integrations/pgembedding.ipynb
@@ -8,7 +8,7 @@
    "source": [
     "# pg_hnsw\n",
     "\n",
-    "> [pg_embedding](https://github.com/knizhnik/hnsw) is an open-source vector similarity search for `Postgres` that uses  Hierarchical Navigable Small Worlds for approximate nearest neighbor search.\n",
+    "> [pg_embedding](https://github.com/neondatabase/pg_embedding) is an open-source vector similarity search for `Postgres` that uses  Hierarchical Navigable Small Worlds for approximate nearest neighbor search.\n",
     "\n",
     "It supports:\n",
     "- exact and approximate nearest neighbor search using HNSW\n",
@@ -232,7 +232,7 @@
     "\n",
     "- efConstruction: Defines the number of nearest neighbors considered during index construction. The default value is 32.\n",
     "- efsearch: Defines the number of nearest neighbors considered during index search. The default value is 32.\n",
-    "For information about how you can configure these options to influence the HNSW algorithm, refer to [Tuning the HNSW algorithm](https://neon-next-git-dprice-hnsw-extension-neondatabase.vercel.app/docs/extensions/hnsw#tuning-the-hnsw-algorithm)."
+    "For information about how you can configure these options to influence the HNSW algorithm, refer to [Tuning the HNSW algorithm](https://neon.tech/docs/extensions/pg_embedding#tuning-the-hnsw-algorithm)."
    ]
   },
   {