From d578a4ccccd0a2b6f539077f9f56a27f69f73afc Mon Sep 17 00:00:00 2001 From: Andrew Kane Date: Mon, 28 Aug 2023 15:30:28 -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 9f2a1a4..32d30d9 100644 --- a/README.md +++ b/README.md @@ -157,7 +157,7 @@ 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 speed. Unlike typical indexes, you will see different results for queries after adding an approximate index. Supported index types are: