Especially with a client, consider the word choices around "learning". When using llms, agents, or rag, the system isn't learning (yet) but making a decision based on the context you provide. Most models are a fixed snapshot. If you provide up to date information, it will be able to give you an output based on that.
"Learning" happens when initially training the llm or arguably when fine-tuning. Neither of which are needed for your use case as presented.
"Learning" happens when initially training the llm or arguably when fine-tuning. Neither of which are needed for your use case as presented.