From 092e8939dbad52193b299b73fa9e7fac324c1a02 Mon Sep 17 00:00:00 2001 From: Greg Richardson Date: Wed, 2 Aug 2023 17:06:52 -0500 Subject: [PATCH] feat: add link to wikipedia dataset --- .../_blog/2023-08-03-fewer-dimensions-are-better-pgvector.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/apps/www/_blog/2023-08-03-fewer-dimensions-are-better-pgvector.mdx b/apps/www/_blog/2023-08-03-fewer-dimensions-are-better-pgvector.mdx index 369753ae787..52a08cdad5b 100644 --- a/apps/www/_blog/2023-08-03-fewer-dimensions-are-better-pgvector.mdx +++ b/apps/www/_blog/2023-08-03-fewer-dimensions-are-better-pgvector.mdx @@ -89,7 +89,7 @@ We compared the performance of `text-embedding-ada-002` from OpenAI (1536 dimens - **Database size:** with 2vCPU (ARM) and 8GB RAM - `large` add-on for Supabase project. - **Version:** Postgres v15 and pgvector v0.4.0 -- **Dataset:** 224,482 embeddings from Wikipedia articles. +- **Dataset:** 224,482 embeddings from [Wikipedia articles](https://www.kaggle.com/datasets/stephanst/wikipedia-simple-openai-embeddings). - **Index:** The index was generated for `inner-product` (dot product) distance function with `lists=1000`. - **Process:** We followed [our optimization guide and tips](https://supabase.com/docs/guides/ai/going-to-prod#performance-tips-when-using-indexes).