Cohere Embed v4.0: 128K Context Windows Transform Agentic RAG at Scale

Cohere's embed-v4.0 model introduces a transformative 128,000 token context window, a significant leap from previous models limited to much smaller capacities. This advancement fundamentally changes Retrieval-Augmented Generation (RAG) by enabling entire documents, such as legal contracts or research papers, to be embedded as single units. By eliminating the need for document chunking, this approach preserves full semantic context, leading to substantial improvements in search relevance and accuracy. The model also offers flexible output dimensions for performance optimization and enables new architectural patterns like document-level retrieval and hierarchical embeddings.