Cohere Embed is the 'senior engineer's choice' for enterprise RAG—prioritizing noise robustness and real-world retrieval over raw academic benchmarks. While OpenAI's embeddings are the default, Cohere's v4 model outshines them with a 128k context window, native multimodal support, and Matryoshka embeddings that let you slash vector storage costs by up to 96%. Use this if you're building serious multilingual search or need to embed complex documents; skip it if you just need a cheap, simple vector for a side project.
