Cohere
236 46What is Cohere ?
Cohere provides industry-leading large language models (LLMs) and RAG capabilities tailored to meet the needs of enterprise use cases that solve real-world problems.
Cohere Features
Cohere Command, powering innovation with enterprise GenAI Command models are used by companies to build production-ready, scalable and efficient AI-powered applications.
Cohere Embed, unlocking the full potential of your enterprise data Cohere trained the models on the language of business to enable the most accurate and efficient solution. Scale your Enterprise AI strategy starting with the highest performing embedding model, which supports over 100 languages.
Cohere Rerank, surfacing the industry’s most accurate responses. The combination of Rerank and Embed delivers the most reliable and up-to-date responses for your application, grounding retrieval-augmented generation (RAG) in your data.
Build with Advanced Retrieval The Generative AI and Advanced Retrieval models work seamlessly together for applications requiring RAG. It’s easy to connect and retrieve information from documents and enterprise data sources to build more powerful AI applications.
Cohere API
The Cohere platform builds natural language processing and generation into your product with a few lines of code. Our large language models can solve a broad spectrum of natural language use cases, including classification, semantic search, paraphrasing, summarization, and content generation.
| Models | Description |
|---|---|
| command-r-plus | Command R+ is an instruction-following conversational model that performs language tasks at a higher quality, more reliably, and with a longer context than previous models. It is best suited for complex RAG workflows and multi-step tool use |
| command-r | Command R is an instruction-following conversational model that performs language tasks at a higher quality, more reliably, and with a longer context than previous models. It can be used for complex workflows like code generation, retrieval augmented generation (RAG), tool use, and agents. |
| command | An instruction-following conversational model that performs language tasks with high quality, more reliably and with a longer context than our base generative models. |
| command-light | A smaller, faster version of command. Almost as capable, but a lot faster. |
