# 5 Embedding Compression Techniques

DevFeed: [5 Embedding Compression Techniques](<https://devfeed.tech/articles/5-embedding-compression-techniques-18231.md>)

Original publisher: [Read original article](<https://blog.dailydoseofds.com/p/5-embedding-compression-techniques>)

Author: Avi Chawla

Published: 2026-09-04T20:51:57Z

Content type: tutorial

Language: en

Sources: [Daily Dose of Data Science](<https://devfeed.tech/sources/daily-dose-of-data-science.md>)

Topics: [Compression](<https://devfeed.tech/topics/compression.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [quantization](<https://devfeed.tech/topics/quantization.md>), [Inference](<https://devfeed.tech/topics/inference.md>)

Tags: [compression](<https://devfeed.tech/tags/compression.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [inference](<https://devfeed.tech/tags/inference.md>), [quantization](<https://devfeed.tech/tags/quantization.md>), [vector](<https://devfeed.tech/tags/vector.md>)

## AI overview

A tutorial explaining five embedding compression techniques: PCA, Matryoshka Representation Learning, scalar quantization, binary quantization, and Product Quantization. It describes how they reduce dimensions or per-value precision and how rescoring can improve ranking after compressed retrieval.

## Source excerpt

...explained visually.