From 9b5a1a69db5ef889752de54f4c04888659b7023d Mon Sep 17 00:00:00 2001
From: Andrew Kane <andrew@ankane.org>
Date: Fri, 3 Nov 2023 23:43:47 -0700
Subject: [PATCH] Updated readme [skip ci]

---
 README.md | 14 ++++++++++----
 1 file changed, 10 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index d0235f6..26fcab0 100644
--- a/README.md
+++ b/README.md
@@ -413,16 +413,22 @@ You’ll need to use [dimensionality reduction](https://en.wikipedia.org/wiki/Di
 
 #### Can I store vectors with different dimensions in the same column?
 
-You can use the `vector` type (instead of `vector(3)`). However, you can only create indexes on rows with the same number of dimensions (using [expression](https://www.postgresql.org/docs/current/indexes-expressional.html) and [partial](https://www.postgresql.org/docs/current/indexes-partial.html) indexing).
+You can use `vector` as the type (instead of `vector(3)`).
 
 ```sql
-CREATE INDEX ON items USING hnsw ((embedding::vector(3)) vector_l2_ops) WHERE (model_id = 123);
+CREATE TABLE embeddings (item_id bigint, model_id bigint, embedding vector);
 ```
 
-and
+However, you can only create indexes on rows with the same number of dimensions (using [expression](https://www.postgresql.org/docs/current/indexes-expressional.html) and [partial](https://www.postgresql.org/docs/current/indexes-partial.html) indexing):
 
 ```sql
-SELECT * FROM items WHERE model_id = 123 ORDER BY embedding::vector(3) <-> '[3,1,2]' LIMIT 5;
+CREATE INDEX ON embeddings USING hnsw ((embedding::vector(3)) vector_l2_ops) WHERE (model_id = 123);
+```
+
+and query with:
+
+```sql
+SELECT * FROM embeddings WHERE model_id = 123 ORDER BY embedding::vector(3) <-> '[3,1,2]' LIMIT 5;
 ```
 
 #### Can I store vectors with more precision?