From 06b8556a496b33740cdcef0b023876f96a7b37bf Mon Sep 17 00:00:00 2001
From: Andrew Kane <andrew@ankane.org>
Date: Mon, 25 Mar 2024 23:33:46 -0700
Subject: [PATCH] Revert "Updated readme [skip ci]"

This reverts commit 3f674c9994547913f3011edc82d2d6c3c73378d8.
---
 README.md | 16 ++--------------
 1 file changed, 2 insertions(+), 14 deletions(-)

diff --git a/README.md b/README.md
index 8bff108..ff4de3a 100644
--- a/README.md
+++ b/README.md
@@ -5,7 +5,7 @@ Open-source vector similarity search for Postgres
 Store your vectors with the rest of your data. Supports:
 
 - exact and approximate nearest neighbor search
-- L2 distance, inner product, cosine distance, and more
+- L2 distance, inner product, and cosine distance
 - any [language](#languages) with a Postgres client
 
 Plus [ACID](https://en.wikipedia.org/wiki/ACID) compliance, point-in-time recovery, JOINs, and all of the other [great features](https://www.postgresql.org/about/) of Postgres
@@ -221,19 +221,7 @@ Cosine distance
 CREATE INDEX ON items USING hnsw (embedding vector_cosine_ops);
 ```
 
-Hamming distance - added in 0.7.0
-
-```sql
-CREATE INDEX ON items USING hnsw (embedding bit_hamming_ops);
-```
-
-Jaccard distance - added in 0.7.0
-
-```sql
-CREATE INDEX ON items USING hnsw (embedding bit_jaccard_ops);
-```
-
-Vectors with up to 2,000 dimensions can be indexed, or bit vectors with up to 64,000 dimensions.
+Vectors with up to 2,000 dimensions can be indexed.
 
 ### Index Options