Introducing Command R+: Our new, most powerful model in the Command R family.
Our Partners
Cohere offers best-in-class data security, performance, and flexible hosting thanks to our partners.
Product, cloud, and distribution partner
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.
Cloud and distribution partner
Microsoft and Cohere offer high-performing models optimized for enterprise RAG use cases to Azure customers. Cohere's latest models are now available in the Azure AI model catalog as part of the Models as a Service (Maas) offering.
Strategic consulting collaboration
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.
Cloud and distribution partner
Get complete control over your environment and data privacy, while benefiting from the power of language AI.
Strategic consulting collaboration
Accenture and Cohere will jointly deliver AI business solutions to enterprises, leveraging Cohere's flagship proprietary generative and search technologies (Command, Embed, Rerank) to deliver on Accenture's promise of technology and human ingenuity.
Cloud and distribution partner
Access our powerful natural language processing solution on Google’s flexible and scalable cloud platform.
Vector Database Partners
Elasticsearch
Elasticsearch has all the tools developers need to build next generation search experiences with generative AI. Use Elastic if you’d like to build with a vector database that can perform full text, vector, and hybrid search with filters, facets, and aggregations. Cohere’s embeddings are available natively through Elastic’s Inference API.
Weaviate
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.
Pinecone
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.
Qdrant
Qdrant is an open-source vector search engine. When used with Cohere, you’ll gain a comprehensive solution for specific text analysis use cases.
Milvus
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
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.
Community & Research Partners
Vector Institute
Mila
Curious about Large Language Models?
LLM University offers an approachable and structured curriculum to get you speaking our language.