Cohere's Chat with RAG (Retrieval-Augmented Generation) is a conversational knowledge assistant that automates tasks and provides grounded answers to questions through natural interactions and connections to data. It offers customer support by providing immediate answers from knowledge bases to support agents and engage customers with prompt resolutions for complex escalations. Additionally, it delivers dynamic and personalized learning experiences with interactive lessons, quizzes, and feedback based on evolving user profiles. The chat interface uses Cohere's Command model, which is trained to optimize for RAG accuracy, including determining relevant information from multiple data sources. It reduces hallucinations and creates trust between generated responses and users with citations to understand where responses are coming from. When privately deployed, the training data, input prompts, and output responses stay private and don't leave your secure environment. Users can get started by acquiring an API key and trying it via the Coral Showcase, exploring Cohere's documentation and articles, or building their own demo. Contact Cohere to discuss how chat can help transform their products.

Features:

• Conversational Knowledge Assistants: Create assistants to automate tasks and provide grounded answers to questions through natural interactions and connections to data.
• Customer Support: Provide immediate answers from knowledge bases to support agents and engage customers with prompt resolutions for complex escalations.
• Learning apps: Deliver dynamic and personalized learning experiences with interactive lessons, quizzes, and feedback based on evolving user profiles.
• Retrieve your knowledge base: Connect your model with web search and important data sources to improve the relevancy and accuracy of chat responses.
• Reduce hallucinations with grounding, citations: Reduce hallucinations and create trust between generated responses and users with citations to understand where responses are coming from.
• Keep your data private: When privately deployed, the training data, input prompts, and output responses stay private and don't leave your secure environment.
• Simple APIs, powerful results: No matter your level of experience with ML/AI, Cohere’s Command model makes it easy to build chat interfaces in your applications.

Benefits:

• Automation of tasks and provision of grounded answers to questions
• Immediate answers from knowledge bases to support agents