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".
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