Oracle delivers a comprehensive AI portfolio integrated in its cloud applications on a best-in-class AI infrastructure and with state-of-the-art generative AI innovations.
McKinsey is a global management consulting firm and Cohere’s strategic collaborator. McKinsey and Cohere will use AI to transform client businesses, while prioritizing responsible and secure implementation of this technology.
The open-source Weaviate vector search engine stores both objects and vectors. The text2vec-cohere module allows you to use Cohere embeddings directly in the Weaviate vector search engine as a vectorization module.
The Pinecone vector database makes it easy to build high-performance vector search applications. Use Cohere to generate language embeddings, then store them in Pinecone and use them for semantic search.
Milvus is a highly flexible, reliable, and blazing-fast cloud-native, open-source vector database. It powers embedding similarity search and AI applications and strives to make vector databases accessible to every organization. Milvus is a graduated-stage project of the LF AI & Data Foundation.
Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud provides a fully-managed Milvus service, made by the creators of Milvus that allows for easy integration with vectorizers from Cohere and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.