Cohere announced Embed 5, and embedding and retrieval research landed in the same stretch.
Cohere introduced Embed 5, a new family of embedding models. Around the same time arXiv carried papers on dense retrieval using only in-context examples and on selective pooling for long-context embeddings.
Embeddings underpin RAG and search, so a new vendor generation lands alongside research on retrieval quality and long-context handling. NVIDIA also published AI storage tooling that day, but a direct link has not been confirmed.
Watch the published performance, pricing and language coverage of Embed 5, and whether the research methods make their way into production retrieval.