The chat endpoint allows users to have conversations with a Large Language Model (LLM) from Cohere. Users can send messages as part of a persisted conversation using the conversation_id parameter, or they can pass in their own conversation history using the chat_history parameter.
The endpoint features additional parameters such as connectors and documents that enable conversations enriched by external knowledge. We call this "Retrieval Augmented Generation", or "RAG".
If you have questions or require support, we're here to help! Reach out to your Cohere partner to enable access to this API.