--- title: "32x Reduced Memory Usage With Binary Quantization" url: https://daily.dev/posts/32x-reduced-memory-usage-with-binary-quantization-fmrdm9xxu source_url: https://weaviate.io/blog/binary-quantization type: article source: "Weaviate" published: 2024-04-02T15:51:41.295Z updated: 2024-04-02T15:51:39.601Z tags: ["weaviate"] reading_time: 14 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # 32x Reduced Memory Usage With Binary Quantization **[Weaviate](https://daily.dev/sources/weaviate)** · 14 min read · 0 upvotes · 0 comments ## Summary Binary Quantization is a vector compression algorithm that reduces memory requirements. It works by retaining the sign of each dimension in a vector and encoding it as a 1 or 0. Working with Binarized Vectors involves considering the distance between binary vectors and the importance of data distribution. Binary Quantization offers performance improvements in terms of search time, indexing time, and memory footprint. Benchmarking can help determine the optimal compression technique for your data. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Don’t just attend KubeCon \+ CloudNativeCon, Merge Forward your experience\!](https://daily.dev/posts/don-t-just-attend-kubecon-cloudnativecon-merge-forward-your-experience--l0rpp73x8) · CNCF · 0 upvotes · 0 comments - [Announcing H2 2026 KCDs](https://daily.dev/posts/announcing-h2-2026-kcds-m96goajm1) · CNCF · 1 upvotes · 0 comments - [Two months of Open Community Groups](https://daily.dev/posts/two-months-of-open-community-groups-asf52zhbs) · CNCF · 0 upvotes · 0 comments --- Tags: [#weaviate](https://daily.dev/tags/weaviate) [View this post on daily.dev](https://daily.dev/posts/32x-reduced-memory-usage-with-binary-quantization-fmrdm9xxu)