From 854f3fe9b1ca1c3e097cb0ccd55d1406e9c04406 Mon Sep 17 00:00:00 2001 From: Daniel <10074684+danieltprice@users.noreply.github.com> Date: Thu, 13 Jul 2023 20:54:07 -0300 Subject: [PATCH] Update pgembedding.ipynb (#7682) Correct links to the pg_embedding repository and the Neon documentation. --- .../vectorstores/integrations/pgembedding.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) 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)." ] }, {