From aebe1bae029f66d0438b916378214f738822e815 Mon Sep 17 00:00:00 2001 From: Andrew Kane Date: Fri, 31 Mar 2023 21:55:24 -0700 Subject: [PATCH] Updated readme [skip ci] --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 5678e08..246a632 100644 --- a/README.md +++ b/README.md @@ -115,7 +115,7 @@ SELECT category_id, AVG(embedding) FROM items GROUP BY category_id; By default, pgvector performs exact nearest neighbor search, which provides perfect recall. -You can add an index to use approximate nearest neighbor search, which trades some recall for performance. *Unlike typical indexes, you will see different results for queries after adding an approximate index.* +You can add an index to use approximate nearest neighbor search, which trades some recall for performance. Unlike typical indexes, you will see different results for queries after adding an approximate index. Two keys to achieving good recall are: