Cohere int8 & binary Embeddings - Scale Your Vector Database to Large Datasets

This post introduces int8 and binary embedding formats for Cohere's Embed 3 model, enabling significant reductions in vector database storage and improvements in retrieval speed. It details the trade-offs between precision and performance for these compressed formats, demonstrating their effectiveness in scaling semantic search to large datasets without sacrificing accuracy.