# Supabase — What's new in pgvector v0.7.0

- Company: Supabase (supabase.com)
- Announced: 2024-05-02
- Category: capability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://supabase.com/blog/pgvector-0-7-0
- Record: https://forck.live/items/21426-what-s-new-in-pgvector-v0-7-0
- Subject: Supabase

pgvector 0.7.0 introduces float16 (half-precision) HNSW indexes that consume half the memory of float32 indexes, along with sparse vector and bit vector representations. The update also adds L1, Hamming, and Jaccard distance functions. Float16 indexes can be built on existing float32 tables without changing the underlying data, or on float16 tables for additional disk space savings.

## Evidence

Verbatim from https://supabase.com/blog/pgvector-0-7-0:

> In version 0.7.0, pgvector introduces 16-bit float HNSW indexes which consume exactly half the memory.

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