From 06932245eceee824d4eba60f7d7ddea95645f643 Mon Sep 17 00:00:00 2001 From: Vladimir Prelovac Date: Tue, 14 Nov 2023 11:25:35 -0800 Subject: [PATCH] Update README.md --- README.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 23d4696..0d2f0e1 100644 --- a/README.md +++ b/README.md @@ -24,10 +24,9 @@ from vectordb import Memory # Memory is where all content you want to store/search goes. memory = Memory() -# You can save a list of items, and associate any kind of metadata with it (optional) memory.save( - ["apples are green", "oranges are orange"], - [{"url": "https://apples.com"}, {"url": "https://oranges.com"}], + ["apples are green", "oranges are orange"], # save your text content. for long text we will automatically chunk it + [{"url": "https://apples.com"}, {"url": "https://oranges.com"}], # associate any kind of metadata with it (optional) ) # Search for top n relevant results, automatically using embeddings