Cohere's AI platform, Command, now allows companies to securely connect their datastores to create precise AI assistants.
The new build-your-own connectors can leverage data from a variety of third-party applications to answer context-specific business queries.
The upgrade employs retrieval-augmented generation (RAG) to provide citations for responses, enhancing transparency and reducing inaccuracies.
Around 100 quickstart connectors are launched for popular datastores like GitHub and Google Drive, facilitating immediate developer integration.
Cohere emphasizes privacy and security with user-level permissions and compliance with major cloud platforms.

Cohere specializes in creating AI-powered applications for enterprises, offering advanced capabilities in conversational interfaces and search functions through its large language models (LLMs). Their Retrieval Augmented Generation (RAG) toolkit enables accurate, data-informed responses for conversational apps, while their Embed model provides powerful semantic search capabilities across languages. Cohere also improves search result relevancy with their Rerank tool. They provide customizable models with cost-efficient runtime performance, flexible deployment options, and a firm commitment to privacy, ensuring customer data control. Furthermore, Cohere offers educational resources on LLMs through LLM University to help users better understand and utilize their technology.

Cohere

Cohere develops AI language models for enterprise productivity applications.

Cohere Introduces Build-Your-Own Connectors for Enterprise Data Integration

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