Scaling Vector Search: Comparing Quantization and Matryoshka Embeddings for 80% Cost Reduction

Summary

The article explores how quantization and Matryoshka embeddings can scale vector search tasks while achieving an 80% cost reduction. By pairing MRL with int8 and binary quantization, it highlights how to balance infrastructure costs with retrieval accuracy.