How to Use Cohere’s Quantized Vectors to Build Cost-effective AI Apps With MongoDB
Learn how to build cost-effective AI apps using Cohere’s quantized vectors and MongoDB Atlas. This tutorial covers vector quantization techniques, efficient embedding storage, and optimized vector search operations. Discover how to leverage BSON encoding and int8 quantization to significantly reduce storage requirements while maintaining search accuracy. Ideal for developers looking to scale their AI applications and optimize performance in production environments.
Author: Richmond Alake